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The Cloudcast (@cloudcastpod) is the industry’s #1 Cloud Computing podcast, and the place where Cloud meets AI. Co-hosts Aaron Delp (@aarondelp) & Brian Gracely (@bgracely) speak with technology and business leaders that are shaping the future of business. Topics will include Cloud Computing | AI | AGI | ChatGPT | Open Source | AWS | Azure | GCP | Platform Engineering | DevOps | Big Data | ML | Security | Kubernetes | AppDev | SaaS | PaaS .
The podcast The Cloudcast is created by Massive Studios. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
Sunil Mallya (@sunilmallya, Co-Founder & CTO @_FlipAI) talks about building AI models to help IT Operations teams simplify troubleshooting, incident response and pattern detection.
SHOW: 874
SHOW TRANSCRIPT: The Cloudcast #874 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show.
Topic 2 - Let’s begin by talking about your broader view of where IT Operations is today for large companies. What are their biggest challenges, and where are their opportunities for big improvements?
Topic 3 - One of the biggest challenges for IT Operations is so many systems, so many tools, so many data sources and the difficulty of coordinating (troubleshooting, incident response, pattern detection, etc.) across them. Is there a modern approach that’s emerging about how to make this better?
Topic 4 - Where does the potential of AI models come into play here? It is more focused on being able to ask the system for diagnosis, or can it start getting closer to taking independent actions?
Topic 5 - How do you train an AI model with so many different pieces of customer data?
Topic 6 - Let’s talk about AI Agents and what they can begin to accomplish within an Enterprise.
FEEDBACK?
It’s not a reach to say that we’re currently in a time of uncertainty, across technology, economic and political spectrums. But historically, times of uncertainty have often led to unexpected creativity.
SHOW: 873
SHOW TRANSCRIPT: The Cloudcast #873 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
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STUFF THAT FEELS UNCERTAIN OR FRAGMENTED RIGHT NOW
FEEDBACK?
Rosalind Whitley (Dir. Product @Kentikinc) and Ethan Smith (Staff SRE @ An Enterprise Security Company) talk about network observability, the evolution of SRE for networking, flow analysis, and the complexity and tradeoffs or network design and operations at scale.
SHOW: 872
SHOW TRANSCRIPT: The Cloudcast #872 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
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SHOW NOTES:
Topic 1 - Welcome to the show. Tell us about your background and the areas you focus on today.
Topic 2 - I want to begin with the complexity of networking, and not just in the sense of routing, etc. Can you walk us through some of the things you have to consider, and potentially tradeoff, as you’re thinking about network design and operations (e.g. performance, security, costs, logging, troubleshooting, etc.)
Topic 3 - Usually there are many teams involved in making a large organization work. How do you collaborate across teams, and what types of technical hurdles get in the way of delivering the service? (maybe discuss logging challenges)
Topic 3a - How has the role of SRE and Network Engineer evolved as we’re now dealing with this new complexity? You have all the normal performance, high availability, observability stuff, but also things like egress costs, etc.
Topic 4 - We talked earlier about the challenge of cost management when running a large SaaS service. What are some of the ways that you explore or model costing behaviors and look to improve them?
Topic 5 - As you’re working in a single cloud (e.g. AWS), there’s often a belief that working only in that ecosystem is the best approach, as everything is integrated or billing is simpler. How did you go about exploring alternatives that worked in your cloud, but gave you more flexibility for your services?
Topic 6 - How do you tend to think about lines of demarcation between your team, the SaaS tooling provider and the cloud provider?
FEEDBACK?
While there will be plenty of evaluation of how the 2024 US elections played out, we take a look at 13 tips that we can learn from the campaigns that can be used for tech communications.
SHOW: 871
SHOW TRANSCRIPT: The Cloudcast #871 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
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CAN THE TECH INDUSTRY LEARN ANYTHING FROM POLITICAL CAMPAIGNS?
FEEDBACK?
Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard) discuss the top stories in Cloud and AI from October 2024.
SHOW: 870
SHOW TRANSCRIPT: The Cloudcast #870 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
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SHOW NOTES:
SEGMENTS COVERED IN THE SHOW:
FEEDBACK?
Keri Olson (@ksolson20, VP AI for Code at @IBM) talks about coding assistants across the software development lifecycle, the future of agents, and domain-specific assistants.
SHOW: 869
SHOW TRANSCRIPT: The Cloudcast #869 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
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SHOW NOTES:
Topic 1 - Welcome to the show. Tell us about your background, and then give us a little bit of background on where you focus your time at IBM these days?
Topic 2 - Developer code assistants have become one of the most popular areas of GenAI usage. At a high level, how mature are the technologies that augment developers today?
Topic 3 - Software development has an entire lifecycle (Generate, Complete, Explain, Test, Transform, Document). It’s easy for developers to just plug in a service, but is that often the most effective way to start using GenAI in the software development lifecycle?
Topic 4 - Software developers are notoriously picky about what tools they use and how they use them. GenAI doesn’t “guarantee” outputs. Are there concerns that if different developers or groups use different coding assistants, that it could create more challenges than it helps?
Topic 5 - What is a holistic way to think about code assistants? How much should be actively engaged with developers, how much should be behind the scenes, how much will be automated or agentic in the future?
Topic 6 - In the past, we essentially had “real developers” (people who wrote code) and things like Low-Code for “citizen developers” on process tasks. Do you expect to see code assistants bringing more powerful skills to people that previously hadn’t identified as a real developer? (e.g. the great idea on a napkin that turns into a mobile app)
FEEDBACK?
When you’re asking VCs for $6B+, you probably need to promise more than normal returns. So let’s just change all of humankind over the next 5-10 years. Seems simple enough.
SHOW: 868
SHOW TRANSCRIPT: The Cloudcast #868 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
THINGS THAT AI COULD IMPROVE (according to Dario Amodei)
FEEDBACK?
Edward Hieatt (@edwardhieatt, Chief Customer Officer @mech_orchard) talks about the challenges of app modernization, leveraging AI, and the process to succeed from legacy to modern.
SHOW: 867
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SHOW TRANSCRIPT: The Cloudcast #867 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us about your background, and then give us a little bit of background on Mechanical Orchard.
Topic 2 - Many of the MO team come from Pivotal (especially Pivotal Labs), as well as being involved with the Agile Manifesto, Extreme Programming, etc. How did the mission of the company get focus on modernizing existing applications?
Topic 3 - Modernization projects have traditionally been really costly, with a low success rate. Why is now the right time to focus on this area?
Topic 4 - I’m really interested in how MO technology works. It seems like a variation of a digital twin, mixed with some AI capabilities. Give us the big picture of how this is a different approach to modernization.
Topic 5 - How much culture/process change is needed with MO to be successful?
Topic 6 - What do the stages of success look like with your approach to application modernization?
FEEDBACK?
After several months of travel and giving keynote at multiple events, Brian gives some new tips for building keynotes, capturing audience attention, managing regional differences and avoiding mistakes.
SHOW: 866
SHOW TRANSCRIPT: The Cloudcast #866 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
THE CHALLENGES OF KEYNOTES ACROSS DIFFERENT LOCATIONS
FEEDBACK?
Alex Merced (@AMdatalakehouse, Senior Tech Evangelist, @dremio) talks about everything data and we dig deep into Apache Iceberg and DataLakehouses.
SHOW: 865
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Instructions:
SHOW TRANSCRIPT: The Cloudcast #865 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a little bit about your background.
Topic 2 - It’s been a little while since we talked about Data Lakehouses, can you give us a little bit of background on this space, and what the most recent dynamics are around these technologies.
Topic 3 - What are the typical integrations with a Data Lakehouse? How are users/developers typically interacting with Data Lakehouse technologies? [The marketplace for Iceberg catalogs like Nessie and Polaris]
Topic 4 - How does an open data format like Apache Iceberg fit into the bigger picture of data lakehouses, or large scale stores of data?
Topic 5 - How does Dremio enable Iceberg? How does Dremio sit in the intersection of Data Lakehouse, Data Mesh and Data Virtualization trends all of which come from the same fundamental problem, the growing scale of data use cases.
Topic 6 - We’ve seen companies start to rethink their data in the cloud strategies. Are you seeing on-premises making a comeback for large data applications
FEEDBACK?
Are we sure that the next big thing in AI is going to come from OpenAI, or even one of the big cloud providers with $Billions to spend? History tells us that it might come from someone smaller.
SHOW: 864
SHOW TRANSCRIPT: The Cloudcast #864 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
WHERE DID THE CRITICAL “NEXT” INNOVATIONS COME FROM?
FEEDBACK?
Emily Freeman (@editingemily) and Forrest Brazeal (@forrestbrazeal), co-founders of Freeman and Forrest talk about the intersection of technical products and marketing and the evolution of marketing to reach an increasingly technical audience including the rise of influence marketing.
SHOW: 863
Want to go to All Things Open in Raleigh for FREE? (Oct 27th-29th)
We are offering 5 Free passes, first come, first serve for the Cloudcast Community
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Instructions:
SHOW TRANSCRIPT: The Cloudcast #863 Transcript
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show.
Topic 2 - Where does the line between technical and marketing stop and start
Topic 3 - Is there a new blueprint being created for how to have conversations about new technologies, or helping people find useful information? [new media | influencers]
Topic 4 - Give us a sense of how crowded the markets are today, and why it’s so important to be able to communicate about the value/impact of the technologies.
Topic 5 - Let’s talk about how projects get paid for - priorities, awareness, etc.
Topic 6 - What does good and bad look like these days?
FEEDBACK?
The AI landscape is moving quickly. Here are 5 recent trends to keep an eye on for the last quarter of 2024.
SHOW: 862
SHOW TRANSCRIPT: The Cloudcast #862 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
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SHOW NOTES:
5 (+1) AI ITEMS TO KEEP AN EYE ON
FEEDBACK?
Brian Gracely, Aaron Delp, and Brandon Whichard discuss the top stories in Cloud and AI from September 2024.
SHOW: 861
SHOW TRANSCRIPT: The Cloudcast #861 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
SEGMENTS COVERED IN THE SHOW:
FEEDBACK?
Do we put too much emphasis on the leaders of the tech industry and not enough on the millions that support it?
SHOW: 860
SHOW TRANSCRIPT: The Cloudcast #860 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
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THE BIG NAMES GET A LOT OF ATTENTION
BUT DO THE REST OF US ACTUALLY DO ANYTHING OF ANY VALUE?
FEEDBACK?
Rick Song (@rickcsong, CEO @Persona_IDV) talks about the evolution of identity verification and threat detection.
SHOW: 859
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SHOW TRANSCRIPT: The Cloudcast #859 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Give everyone a little bit about your background with a quick introduction please.
Topic 2 - You cut your teeth at Square prior to Persona, what lessons did you learn there, and how did your experience there impact what you are doing at Persona?
Topic 3 - We are, of course, seeing an uptick in personal fraud in both our personal and professional lives through identity theft and personal information leaking into the world. If someone has all the proper information, how do you identify this as a false identity?
Topic 4 - How has AI impacted all of this? I would think with the power of GenAI tools, this industry has accelerated dramatically?
Topic 5 - Do we have another arms race on our hands to identify and protect both our personal and professional lives from fraud?
Topic 6 - Is Persona a 3rd party API similar in architecture to Stripe? If I’m an architect in an organization today and I want to get started, how would I do that?
Topic 7 - If there was one thing you wanted people to understand about this, what would it be?
Topic 8 - You have access to a lot of personal data, how is this data handled and secured?
FEEDBACK?
This past week, Amazon announced a new RTO policy that required 5 days a week in the office. What types of impacts could this have on tech workers and the tech industry?
SHOW: 858
SHOW TRANSCRIPT: The Cloudcast #858 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
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IT’S BEEN 4.5 YEARS SINCE PEOPLE WERE IN THE OFFICE - FULL TIME
IT’S BEEN 4.5 YEARS SINCE PEOPLE WERE IN THE OFFICE - FULL TIME
FEEDBACK?
Jay Madheswaran (Founder & CEO @ Eve) talks about bringing AI to the legal vertical and the intersection of AI/ML of increased efficiency for legal firms.
SHOW: 857
SHOW TRANSCRIPT: The Cloudcast #857 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Before we jump into the legal industry and AI, let’s talk a little bit about your background. Give everyone a brief introduction.
Topic 2 - What made you focus on the legal industry? When I think of forward leaning industries that quickly adopt new technologies, I don’t think of legal. What are the most common use cases?
Topic 3 - Tell us a little bit about the tech behind the scenes. Do you use foundational models and then fine-tune them? Do you have your own custom models? What are your thoughts on the current state and future of models for specific industries or verticals?
Topic 4 - Legal is a highly regulated space; how do your customers (law firms) think about data security and compliance? Tell everyone a bit about how all of this works.
Topic 5 - Do your clients use RAG for custom information that needs to be brought into the models? How does all of that work for customer data?
Topic 6 - When I think about legal, I think about two big areas. We covered compliance and the financial side of this, but what about the billing and financial side? How is ROI on legal AI calculated? Where and how does a legal AI help? Is this measured in hours saved, which translates into dollars saved?
Topic 7 - Let’s close by discussing the people aspect. We keep hearing AI is going to take everyone’s jobs away. What are your thoughts on how this supplements vs. replace staff?
FEEDBACK?
Back from some recent travel, we look at why it’s important to listen to people from around the world to understand the differences between how global regions adopt technology.
SHOW: 856
SHOW TRANSCRIPT: The Cloudcast #856 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
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SHOW NOTES:
LARGER FACTORS PLAY A SIGNIFICANT ROLE IN TECHNOLOGY OUTSIDE THE US
FEEDBACK?
Brian Gracely (@bgracely)and Brandon Whichard (@bwhichard) discuss the top stories in Cloud and AI from August 2024.
SHOW: 855
SHOW TRANSCRIPT: The Cloudcast #855 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
SEGMENTS COVERED IN THE SHOW:
FEEDBACK?
The future of search advertising, the future of chips, the future of open source, AI monetization and government regulation of tech are all uncertain. What does that mean for the future?
SHOW: 854
SHOW TRANSCRIPT: The Cloudcast #854 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
SHOW SPONSOR:
SHOW NOTES:
ARE CORE PILLARS OF THE TECH INDUSTRY UNCERTAIN FOR THE FUTURE?
FEEDBACK?
Paul Delory (@pacdelory, Research VP @Gartner_Inc for Technical Professionals) shares insights about cloud computing, cloud costs, VMware, Platform engineering and IaC.
SHOW: 853
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Before we jump into a broad set of topics today, give us a little bit about your background and what you focus on today.
Topic 2 - The hyperscalers have grown quite large over the last decade, but as we came out of COVID, many of their customers were concerned about the cost of cloud. Are we seeing a new rationalization coming around cloud costs and accountability of costs?
Topic 3 - We’ve all read the headlines regarding changes to VMware by Broadcom. Alternatives to VMware would be big decisions for many companies. As a neutral independent, how are you framing your thinking about the VMware ecosystem and the decisions being made about the future of virtualization?
Topic 4 - Over the last decade, we’ve seen so many new technologies. To get value from them, they require more cross-functional collaboration. These days we tend to call that Platform Engineering. How well do you see the evolution of people and processes being adopted, and how much more needs to happen?
Topic 5 - Behind the scenes of every transition over the past decade (Cloud, AI, Cloud-native) is the adoption of automation. This seems like a no-brainer, but actual adoption is lumpy across companies. What are some of the hard parts of automation that aren’t discussed enough?
FEEDBACK?
With so much rapid change happening around AI models, is there a framework for when to build models, train models, fine-tune models, use RAG or something else? Let’s explore…
SHOW: 852
SHOW TRANSCRIPT: The Cloudcast #852 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
SHOW SPONSOR:
SHOW NOTES:
HOW SHOULD WE DECIDE WHICH AI MODEL TO USE FOR OUR APPLICATION?
HOW DO WE BRING OUR COMPANY DATA / KNOWLEDGE TO OUR AI MODELS?
FEEDBACK?
Emrul Islam (Head of Platform Innovation @TwingateHQ) talks about the evolution of remote access, application security, and enabling DevOps teams to drive security transformation.
SHOW: 851
SHOW TRANSCRIPT: The Cloudcast #851 Transcript
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show.
Topic 2 - To properly solve cloud access & security pain points, companies need a tool that works for IT, DevOps, & Security teams
Topic 3 - How is Twingate architected differently to address these new challenges?
Topic 4 - Why is it a struggle to get these teams aligned on the right solution
Topic 5 - What is the opportunity for Devops teams to influence remote access and security architecture?
FEEDBACK?
Is the market shifting from evaluating software as an economic driver to re-evaluating the cost of software in the context of how AI can improve, augment or replace developers?
SHOW: 850
SHOW TRANSCRIPT: The Cloudcast #850 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
THE CLOUD WAS BUILT UPON ENABLING DEVELOPERS (“BUILDERS”)
WE’RE MOVING FROM THE ECONOMICS OF SOFTWARE TO THE ECONOMICS OF DEVELOPERS
FEEDBACK?
Vinay Tripathi (Senior Member of IEEE, Production Network Engineer @Google) talks about the evolution of backbone networks for the Cloud and Internet, future technologies and career opportunities.
SHOW: 849
SHOW TRANSCRIPT: The Cloudcast #849 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Before we jump into cloud networking, let’s talk a little bit about your background and some of the areas you focus on today.
Topic 2 - Let’s start with something big - the anatomy of cloud backbone networks. What is the makeup of a typical cloud backbone network?
Topic 3 - What are some of the unique challenges and solutions that you need to think about in terms of scaling, reliability, securing, and maintaining these massive networks, along with the innovative solutions being implemented
Topic 4 - Looking forward, what are some of the emerging trends like intent driven networks, software defined global WAN, and the impact of AI/ML on cloud backbone infrastructure.
Topic 5 - Some people in the networking industry are concerned about the future of network engineers. Career Paths in Cloud Networking: skills and knowledge required for a successful career in this field, along with potential career paths.
FEEDBACK?
The summer lull has us reflecting on how the evolution of cloud computing has shaped the existing era that’s trying to figure out AI. With a special guest introduction.
SHOW: 848
SHOW TRANSCRIPT: The Cloudcast #848 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
WE HAVE A SPECIAL GUEST LEADING OFF THE SHOW - AFTER 13 YEARS
WHAT PARTS OF THE CLOUD EVOLUTION HAVE LAID THE FOUNDATION FOR TODAY?
FEEDBACK?
Scott Jarnagin (Founder/CEO of Caddis Cloud Solutions (Caddis Cloud Solutions)) talks about the challenges of building modern data centers to handle the growing demands of AI.
SHOW: 847
SHOW TRANSCRIPT: The Cloudcast #847 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Before we jump into Caddis Cloud, let’s talk a little bit about your background and then what led you to start the company.
Topic 2 - Let’s begin by looking at the bigger picture intersection of today’s data centers and the growing demand for AI capabilities. How much of a change will current data centers have to go through to be able to support AI at any sort of scale?
Topic 3 - How are cloud providers, hosting companies and enterprises evolving to meet the increased demands driven by AI and other high-intensity computing processes?
Topic 4 - How would you typically advise an enterprise to think about matching the AI needs to the current and future capabilities of the market? How do they make sure their AI plans aren’t going to get sidetracked with the wrong datacenter/cloud choice?
Topic 5 - Are there elements of government development/involvement for datacenter expansion that companies should be aware of as they make future plans around AI?
Topic 6 - How frameworks does Caddis Cloud typically use to help guide companies that are looking at near-term and long-term data center plans
FEEDBACK?
They may not be major stories, but these 5 headlines will play an important role in how AI and the Cloud evolve in the 2H of 2024.
SHOW: 846
SHOW TRANSCRIPT: The Cloudcast #846 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
THE ECONOMY WILL BE THE STORY OF 2H 2024 DUE TO THE US ELECTIONS
BUT WILL ANY OF THESE OTHER STORIES GET THE ATTENTION THEY DESERVE?
FEEDBACK?
Brian Gracely (@bgracely), Aaron Delp (@aarondelp) and Brandon Whichard (@bwhicard) discuss the top stories in Cloud and AI from July 2024.
SHOW: 845
SHOW TRANSCRIPT: The Cloudcast #845 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
SEGMENTS COVERED IN THE SHOW:
FEEDBACK?
For many years, Silicon Valley was considered to be somewhat apolitical. But the last decade has changed the relationship with governments. What’s causing the changes?
SHOW: 844
SHOW TRANSCRIPT: The Cloudcast #844 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW SPONSOR:
SHOW NOTES:
SHOW NOTES:
TECHNOLOGY IS A CRITICAL DRIVER OF ECONOMIC GROWTH
DOES GROWTH ALLOW YOU TO AVOID RESPONSIBILITY OR ACCOUNTABILITY?
FEEDBACK?
Jeff Denworth, (@JeffDenworth, Co-Founder of @VAST_Data) talks about building data platforms for new AI application demands.
SHOW: 843
SHOW TRANSCRIPT: The Cloudcast #843 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
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SHOW NOTES:
Topic 1 - Welcome to the show. Before we jump into VAST Data, let’s talk a little bit about your background and then what led you to start the company.
Topic 2 - As we talk about datacenter or cloud architectures, right now GPUs are king. This is causing a complete rethinking of data center architectures. But what is this doing to the storage side of the equation?
Topic 3 - To a certain extent (in the context of AI), GPUs are this massive change from CPUs in that cost almost isn’t considered because of the great fear of falling behind in AI model building/usage. But storage has always been a performance+price discussion. Does that discussion still exist when companies must choose all-flash storage to keep up with GPU IO demands?
Topic 4 - We’ve obviously seen a lot of new innovation around GenAI models over the last couple years, but what have you seen from Enterprise companies in terms of real adoption, AI use-cases, etc?
Topic 5 - How are you finding Enterprise companies balancing the current requirements around infrastructure modernization (maybe driven by new VMware licensing, etc.) with AI demands?
Topic 6 - Do you find that data platform teams are having to make many adjustments to their environments or skills, especially since all-flash technology has been around for at least a decade?
FEEDBACK?
If this past week’s Crowdstrike outage taught us anything, it’s that we seem to have forgotten the basics of how to run highly available environments. But what other critical skills are deteriorating?
SHOW: 842
SHOW TRANSCRIPT: The Cloudcast #842 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
WE’RE ALWAYS LOOKING TO THE FUTURE
PEOPLE DON’T IGNORE STABLE FOUNDATIONS, THEY FORGET ABOUT THEM
FEEDBACK?
Scott Stephenson (@deepgramscott, CEO of @deepgram) talks about building Voice AI into your applications.
SHOW: 841
SHOW TRANSCRIPT: The Cloudcast #841 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
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SPONSOR NOTES:
SHOW NOTES:
Topic 1 - Welcome to the show. Before we jump into Deepgram and Voice AI, let’s talk a little bit about your background and then what led you to start the company.
Topic 2 - Let’s start by stepping back and looking at the bigger picture. Many of us have interacted with voice technologies, from Siri to Alexa to various call-center “agents”. From a maturity perspective, where are we in terms of voice-centric interactions with computing systems?
Topic 3 - When businesses think about including computer-aided voice-centric interactions to their applications, what’s the typical thought process for where it makes sense to the business, how it represents their brand, etc.?
Topic 4 - How does Deepgram bring Voice AI to applications? What do developers have to think about when adding Voice AI to an existing application, or to think about building a voice-centric application from the start?
Topic 5 - What are some of the most common use-cases when Voice AI adds new value to the application? What areas are starting to push the edges of possible?
Topic 6 - How do companies usually go about collecting user-feedback about the voice-centric interactions?
Topic 7 - If you look forward a year or two, where do you see Voice AI types of technologies evolving?
FEEDBACK?
Modern applications require modern platforms and team collaboration to deliver velocity, stability and security. So how do we overcome the hurdles to making platform adoption work?
SHOW: 840
SHOW TRANSCRIPT: The Cloudcast #840 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
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SHOW SPONSOR:
SHOW NOTES:
WHY DO PLATFORMS MAKE SENSE FOR MODERN APPLICATIONS?
WHAT ARE THE PLATFORM HURDLES, AND HOW TO OVERCOME THEM?
FEEDBACK?
2024 has been evolving very quickly for Cloud and AI. So as we get to the mid-year point, we stop and answer many of your mailbag questions.
SHOW: 839
SHOW TRANSCRIPT: The Cloudcast #839 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
MAILBAG QUESTIONS:
Topic 1 - At this stage of the GenAI era, obviously the “picks and shovels” are winning (e.g. NVIDIA). But beyond that, are there obvious winners and losers, or areas that look more promising?
Topic 2 - In the near-term or long-term, do you think there will be big differentiation in the LLM models, or do they eventually commoditized?
Topic 3 - There is some talk that Amazon (&/or) AWS are behind in GenAI, but obviously they are ahead with cloud. Do you think GenAI offerings will be enough to get companies to move clouds, or will it just be another cloud workload and companies already use multiple clouds?
Topic 4 - Do you have any thoughts about how GenAI (or any AI) will impact IT architectural thinking over the next couple of years?
Topic 5 - Do you think the recent rounds of layoffs, or slow downs in hiring, will have a big impact on IT organizations?
Topic 6 - What happens if GenAI doesn’t turn out to be as successful as so many people are forecasting? What happens to all the other potential technology innovations while that plays out?
Topic 7 - If you were advising someone on a tech career choice in 2024, what type of guidance would you give someone?
Topic 8 - DevOps had a long run as “the IT cultural change” for a while. Do you see any of the other tech/culture trends starting to get more popular (FinOps, Platform Engineering, MLOps, etc.)?
FEEDBACK?
Since the GenAI era took off, most of the discussion has been about AI in the public cloud. But is there a market for AI in the Private Cloud as well?
SHOW: 838
SHOW TRANSCRIPT: The Cloudcast #838 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW SPONSOR:
SHOW NOTES:
DATA GRAVITY AND BUSINESS CONCERNS ABOUT GEN AI
WHAT WILL THE ENTERPRISE MEASURE FOR GEN AI SUCCESS?
FEEDBACK?
Chris Chapman (CTO at @MacStadium) talks about Mac-centric backend development, DevOps tools chains, and the best ways to take advantage of MacStadium.
SHOW: 837
SHOW TRANSCRIPT: The Cloudcast #837 Transcript
SHOW VIDEO: https://www.youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
Topic 1 - Welcome to the show. Before we dive into all things MacStadium, give us a little bit of your background, as well as some of your focus areas as CTO of MacStadium
Topic 2 - Everybody I know has an iPhone, and so many people use a Mac (or iPad) as their daily computing device. Help us understand the breadth of companies that use Macs for the backend of their application environments?
Topic 3 - We spend a lot of time focusing on DevOps and the things people do to run cloud environments. Honestly, it’s a mess of all sorts of tools. Apple has always made the complex seem simple. What does Mac-centric DevOps look like?
Topic 4 - We know (mostly) where cloud-provider responsibilities stop and customer-responsibilities start in places like AWS. Does that change much in MacStadium?
Topic 5 - You are/were the creator of Orka, virtualization for Macs. Walk us through the basics of how that works, and it seems like it would be extremely powerful when looking at CI pipelines.
Topic 6 - What are some of the best ways that companies take advantage of MacStadium?
FEEDBACK?
In technology, we’re afforded many freedoms that enable us to work, live and play in new ways. But it’s important to reflect on technology freedoms and how they might change in the future.
SHOW: 836
SHOW TRANSCRIPT: The Cloudcast #836 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW SPONSOR:
SHOW NOTES:
TECHNOLOGY PROVIDES US WITH A LOT OF FREEDOMS
BUT THE FREEDOMS DON’T ALWAYS COME WITHOUT A PRICE
FEEDBACK?
Brian Gracely (@bgracely) and Brandon Whichard (@bwhicard) discuss stories in Cloud and AI from June 2024, and then get into spirited discussions about RTO and Tech Exec poaching.
SHOW: 835
SHOW TRANSCRIPT: The Cloudcast #835 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
SEGMENTS COVERED IN THE SHOW:
FEEDBACK?
As open source companies and projects enter a transition phase of funding, licensing, community participation, let’s look at the characteristics of successful open source projects.
SHOW: 834
SHOW TRANSCRIPT: The Cloudcast #834 Transcript
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SHOW SPONSOR:
SHOW NOTES:
WHAT DOES SUCCESS MEAN IN OPEN SOURCE?
WHAT DOES COMMERCIAL SUCCESS LOOK LIKE IN OPEN SOURCE?
FEEDBACK?
Matt Butcher (@technosophos, CEO at @FermyonTech) talks about the evolution of WASM, the relationship with Kubernetes, and managing Developer Experiences with platforms.
SHOW: 833
SHOW TRANSCRIPT: The Cloudcast #832 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
Topic 1 - Welcome back to the show. It’s been a couple of years since the last time you were on. Great to have you back. For anyone that didn’t listen to that show, or doesn’t know you, give us a quick update on your background.
Topic 2 - Let’s begin by talking about the Web Assembly community and the work around the open source project. Where does it stand today, what are the main focus areas?
Topic 3 - Fermyon delivers WASM as a PaaS platform and is focused on “serverless” delivery for applications. You’ve got a background in PaaS; what lessons have we learned about PaaS and what’s changed over the years?
Topic 4 - A couple years ago, Web Assembly (WASM) was on the short-list of “Hot” topics at KubeCon, even though it just launched. Fast forward to 2024, and it feels like it’s hard to get visibility on anything that isn’t called AI. How is WASM navigating the CNCF communities these days?
Topic 5 - WASM has an interesting relationship with Kubernetes. How do you think about the relationship? What do people get right, and what do they keep getting wrong?
Topic 6 - What are some of the interesting use-cases people are using WASM for thess days?
FEEDBACK?
As we look at the continued expansion of the CNCF Landscape and the end of Cloud 1.0 era, are there any trends or patterns that identify which technology or categories will succeed vs fail?
SHOW: 832
SHOW TRANSCRIPT: The Cloudcast #832 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW SPONSOR:
SHOW NOTES:
CAN TECHNOLOGY OVERCOME OUR DESIRE TO NOT COLLABORATE?
CAN CROSS-FUNCTIONAL TECHNOLOGIES SUCCEED?
FEEDBACK?
Reid Robinson (@Reidoutloud_, Lead AI Product Manager @Zapier) talks about automation, application integrations and how to integrate AI in projects with Zapier
SHOW: 831
SHOW TRANSCRIPT: The Cloudcast #831 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
Topic 1 - Welcome to the show, Reid. Before we get started, tell us a little bit about your background, and what you focus on now at Zapier.
Topic 2 - Lots of individuals and companies use Zapier for a wide variety of automated tasks and application integrations. Recently, the company has added a number of ways to integrate AI into those workflows. At a high-level, how did you go about thinking about adding AI into the platform?
Topic 3 - What are some of the most common AI usage-patterns and integrations that you’re seeing companies build around?
Topic 4 - As Zapier began to integrate with OpenAI (or any 3rd-party LLM), how did you think about it as a source of integration? What did you have to think about regarding filtering, security and hallucinations with ChatGPT?
Topic 5 - We often hear discussions about AI agents interacting with other AI agents to complete tasks, or evolve the outputs of multi-step, complex tasks. Is that an area where we might expect to see things like the new Zapier AI tools playing a role?
Topic 6 - What are some of the best ways to get started building AI apps around these new integrations and tools?
FEEDBACK?
Let’s explore how today’s early AI era is like the unicorn-filled, heavily VC-funded early 2020s. (Part 3 of 3)
SHOW: 830
SHOW TRANSCRIPT: The Cloudcast #830 Transcript
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SHOW SPONSOR:
SHOW NOTES:
THE EARLY 2020s were SHAPED by COVID and FREE CASH
DO CURRENT AI ECONOMICS AND FUNDING LEVELS MAKE SENSE?
FEEDBACK?
Solomon Hykes (@solomonstre, Co-Founder @Dagger_io) talks about the evolution of the container industry, fixing broken CI/CD systems, and modern DevOps.
SHOW: 829
SHOW TRANSCRIPT: The Cloudcast #829 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SPONSOR:
SHOW NOTES:
Topic 1 - Welcome back to the show. We’ve spoken a number of times over the years and we’ve been overdue to catch up. For the few listeners out there who might not be familiar, give everyone a quick intro and your background with Docker and containers prior to Dagger.
Topic 2 - Dagger has been around for a few years, coming out of stealth in 2022. If I understand Dagger correctly, it is a declarative model to abstract away CI/CD pipelines. What problem are you trying to solve?
Topic 2a - Anytime you add an abstraction layer, you potentially add overhead and complexity. What are your thoughts on this?
Topic 3 - Let’s go back to containers quickly. How has Containers as an “industry” changed over the years? How does that relate to what you are trying to do with Dagger?
Topic 3a - What lessons learned from Docker and even back to dotCloud days do you want to bring forward with Dagger?
Topic 4 - What metrics are organizations using to measure the performance and success of Dagger implementations? Is it velocity (number of deployments)? Reduction in friction?
Topic 4a - I get the advantage on the Dev side of DevOps, what’s in it for Ops?
Topic 5 - Dagger has three components, Dagger Engine, Dagger Cloud and Dagger SDK. Walk everyone through the offerings at a high level.
FEEDBACK?
The introduction of cloud computing brought about a significant change on how we use technology with our businesses. Let’s look at the historical parallels to today’s AI for the Enterprise. (Part 2 of 3)
SHOW: 828
SHOW TRANSCRIPT: The Cloudcast #828
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WHAT SHAPED THE EARLY 2010s?
EARLY CLOUD WAS ALL ABOUT BREAKING AWAY FROM CORPORATE IT
FEEDBACK?
Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, from @SoftwareDefTalk) talk about all the major news stories in Cloud and AI from May 2024
SHOW: 827
SHOW TRANSCRIPT: The Cloudcast #827 Transcript
SHOW VIDEO: The Cloudcast YouTube Channel
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SHOW SPONSOR:
SHOW NOTES:
Segments Covered in the Show:
FEEDBACK?
Let’s put today’s AI era into some historic context by looking at the similarities and parallels to the explosion of the 1st wave of the consumer Internet. (Part 1 of 3)
SHOW: 826
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
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SHOW SPONSOR:
SHOW NOTES:
WE’RE FASCINATED BY THE IDEA OF TECHNOLOGY CHANGING EVERYTHING
MOST TECHNOLOGY’S SHIFT HAPPEN WITH CONSUMERS FIRST
FEEDBACK?
Tim Crawford (@tcrawford, CIO Advisor at @AVOAcom) talks about the challenges of the modern CIO, managing stability vs. innovation, and understanding the business value of tech.
SHOW: 825
SHOW TRANSCRIPT: The Cloudcast #825 Transcript
SHOW VIDEO: The Cloudcast YouTube Channel
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Topic 1 - Tim, welcome back to the show! We’ve been friends for years, and it’s great to get you on today! We will discuss everything at the top of CIOs' minds today. Why don’t you give everyone a quick background on how you became known as the CIO Advisor?
Topic 2 - Before we go into trends over the last few years. Put everyone in a CIO mindset. What do they care about? How do they think about the intersection of technology and business? What keeps them up at night?
Topic 3 - We’ve heard many times CIOs have to balance two things: keeping the lights on (the boring side of the business that is often undifferentiated, and the innovative side that often moves the needle. A CIO’s job is to minimize the former and maximize the latter. Do you agree? How accurate is that statement?
Topic 4 - I’ll follow that up with a real-world example many organizations might be facing, one we’ve discussed on the show in the past. We’ll discuss VMware on one end of the stable, the keep the lights on model, and AI on the other end as an innovative technology that could differentiate. Let’s talk about VMware first…
Topic 4b - Now the other end of the spectrum, AI. Have we reached peak AI washing and craziness? Is the trough of disillusionment coming? How should a CIO think about it?
Topic 5 - Let’s talk about economics over the last few years. Zero-interest money has gone away for VCs and startups and we are seeing some big changes on the vendor side. How does this impact the people you talk to?
Topic 6 - Last topic, you were there and talked about Hashicorp when they rang the bell last week and then were bought 24 hours later. What was that like as someone who was there?
FEEDBACK?
When you see the headline “<ex-employee> says <company> AI strategy is in chaos”, what does it really mean? Is any company’s AI strategy NOT in chaos at this point?
SHOW: 824
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
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SHOW NOTES:
WE OVERESTIMATE IN 1YR, AND UNDERESTIMATE IN 10YRS
DOES ANYONE REALLY HAVE THEIR AI STRATEGY FIGURED OUT?
FEEDBACK?
Jonas Rosland (@jonasrosland, Head of Open Source Community @CIQ) talks about using AI tools to accelerate building and communications in Open Source Software (OSS) communities. We also discuss the differences between Community Roles and Dev Rel.
SHOW: 823
SHOW TRANSCRIPT: The Cloudcast #823
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SHOW NOTES:
Topic 1 - Good Afternoon Jonas! Give everyone a quick background on your time building open-source communities and a bit about your foundation. We’ll dig into both areas today.
Topic 2 - We caught up at All Things Open last fall. You gave a fascinating talk on using AI tools to accelerate the building of OSS communities. Give everyone the backstory on how that topic and presentation came to be.
Topic 3 - This may be a dumb question, but DevRel is (still) all the rage. What is the difference between the approach to building OSS communities and the straight-up DevRel teams? How is success tracked in each? Are there solid metrics, or is it “fuzzy”?
Topic 4 - Sadly, as far as I can tell, the session wasn’t recorded. But, for me, the big takeaway was how much dabbling you were doing with the tools and your good and bad experiences. I learned a lot from a practical aspect. But, the AI industry and tools are moving so fast. What’s in your toolbox today and why?
Topic 5 - What are some of the gaps in the tools today? What’s missing?
Topic 6 - Let’s talk about your side gig. You were part of the founding team and are exec director of a video game preservation society, Hit Save! How did that come to be? What does that entail?
FEEDBACK?
After just three years, AWS is making another change at the top of the leadership org-chart. What lessons can we learn from leadership transitions and what might come next?
SHOW: 822
SHOW TRANSCRIPT: The Cloudcast #822
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
AWS HAS NEW LEADERSHIP. WHY NOW?
WHAT LESSONS CAN WE LEARN FROM SELIPSKY’S 3 YEARS AS AWS CEO
[Andy on X] Lead Amazon, married and father of two kids, big sports/music/film fan, experienced buffalo wings eater. Go Kraken!
[Adam on X] Husband & dad. Water skier/tennis player. Fan of Seahawks & Sounders. CEO at #AWS.
FEEDBACK?
Mark Collier (@sparkycollier, COO @openInfradev) talks about the advantages of open source AI and the intersection of OSS and AI transparency, safety, and potential regulations.
SHOW: 821
SHOW TRANSCRIPT: The Cloudcast #821
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
Topic 1 - Our topic for today is AI Safety and Regulation. I saw our guest speak at All Things Open here in Raleigh late last year and he is also a Cloudcast alumnus having been on the show previously talking about OpenStack and the OpenInfra Foundation. We’d like to welcome Mark Collier (Chief Operating Officer @ OpenInfra Foundation) for this discussion. Mark, welcome to the show.
Topic 2 - There’s a lot of news today about AI safety and regulation. The industry also seems to be caught up in an AI arms race of who has the bigger model, faster model, etc. OpenAI have become the early category leader but they might have started with good intentions, but, contrary to their name, they aren’t open… at all. One message in your talk is how open-source software will prevent the coming of the “AI overlords”. Tell everyone a bit of what you mean by this. What is the problem we are facing and many may not even realize it.
Topic 3 - I don’t want to call you old (I think we are about the same age), but you’ve seen some things. You’ve also been around OSS and foundations for a bit now. How can open source solve the problem?
Topic 4 - We hear a lot about AI regulation, but this seems to be a moving target. What is both the current and future state of AI regulation? In my opinion, we haven’t seen a lot of successful regulations to date. We saw recently the EU pass an AI Act. Is this the first of many? The start of a trend?
Topic 5 - Let’s talk about the “day job”. What’s new with OpenInfra Foundation these days?
Topic 6 - OpenStack releases are still going strong and you’ve even run out of letters on OpenStack releases and have rolled around on the alphabet and are back to C. This is the 29th release of OpenStack. What’s the news for the Caracal release?
FEEDBACK?
Happy Mothers Day! And let’s explore some new happenings at the intersection of open source and AI.
SHOW: 820
SHOW TRANSCRIPT: The Cloudcast #820
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
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SHOW NOTES:
HAPPY MOTHERS DAY TO ALL THE MOMS
OPEN SOURCE MEETS AI
FEEDBACK?
Malte Ubl (@cramforce, CTO @Vercel) talks about Front-End web development and clouds, how AI impacts front-end infrastructure, and impacts to the business.
SHOW: 819
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
Topic 1 - Our topic for today is front-end development and front-end clouds, and we’ll also explore AI-generated front ends. Our guest is Malte Ubl, CTO at Vercel. Malte, welcome to the show. Give everyone a quick background on your time at Vercel and Google Search.
Topic 2 - Let’s start at the start. We hear all the time about front-end developers and back-end developers. What is your definition of a front-end and, more specifically, a front-end cloud?
Topic 3 - What are the most common use cases you see today? What problem are you solving when you talk to organizations?
Topic 4 - How much of a front-end is typically integrated with 3rd party services, and how much is build your own?
Topic 5 - Where does AI fit into this from a developer's perspective? Are we to the point where we can develop a front-end from a prompt?
Topic 6 - Let’s talk about the business side of this. Do companies typically have a “front-end problem”? If so, what does it look like, and how do they know?
FEEDBACK?
What are the key characteristics and red flags with today’s leaders in the tech industry? How to identify the leadership skills, the team building skills, and the execution skills.
SHOW: 818
SHOW TRANSCRIPT: The Cloudcast #818
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
WHERE ARE THE LEADERS IN THEIR CAREERS?
LEADERSHIP SKILLS, TEAM BUILDING, EXECUTION AND RED FLAGS
FEEDBACK?
Aaron (@aarondelp) and Brian (@bgracely) talk about all the major news stories in Cloud and AI from April 2024
SHOW: 817
TRANSCRIPT: Cloudcast #817 - CNOTM - April 2024
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Segments Covered in the Show:
FEEDBACK?
Every few years we have to be reminded that open source isn’t a business model. Let’s talk about the business dynamics that everyone seems to keep forgetting.
SHOW: 816
SHOW TRANSCRIPT: The Cloudcast #816
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
OPEN SOURCE IS A LICENSE, NOT A BUSINESS MODEL
FREE, FREE TIERS, EXTENSIONS, CLONES
FEEDBACK?
John Yue (CEO & Co-Founder @ inference.ai) discusses AI workload sizing, matching GPUs to workloads, availability of GPUs vs. costs, and more.
SHOW: 815
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
Topic 1 - Our topic for today is sizing and IaaS hosting for AI/ML. We’ve covered a lot of basics lately, today we’re going to dig deeper. There is a surprising amount of depth to AI sizing, and it isn’t just speeds and feeds of GPUs. We’d like to welcome John Yue (CEO & Co-Founder @ inference.ai) for this discussion. John, welcome to the show
Topic 2 - Let’s start with sizing, I’ve talked to a lot of customers recently with my day job, and it is amazing how deep AI/ML sizing can go. First, you have to size for training/fine-tuning differently than you would for the inference stage. Second, some just think, pick the biggest GPUs you can afford and go. How should your customers approach this? (GPU’s, software dependencies, etc.)
Topic 2a - Follow-up question what are the business side, what are the business parameters that need to be considered? (budget, cost efficiency, latency/response time, timeline, etc.)
Topic 3 - The whole process can be overwhelming and as we mentioned, some organizations may not think of everything. You recently announced a chatbot to help with this exact process, ChatGPU. Tell everyone a bit about that and how it came to be.
Topic 4 - This is almost like a match-making service, correct? Everyone wants an H100, but not everyone needs or can afford an H100.
Topic 5 - How does GPU availability play into all of this? NVIDIA is sold out for something like 2 years at this point; how is that sustainable? Does everything need to run on a “Ferrari class” NVIDIA GPU?
Topic 6 - What’s next in the IaaS for AI/ML space? What does a next-generation data center for AI/ML look like? Will the Industry move away from GPUs to reduce dependence on NVIDIA?
FEEDBACK?
For some strange reason, “maintenance” has been in the news quite a bit lately. Is there ever a time when maintenance is enjoyable, or appreciated?
SHOW: 814
SHOW TRANSCRIPT: The Cloudcast #814
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
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IS MAINTENANCE EVER APPRECIATED OR ENJOYABLE?
TECHNICAL DEBT VS. MAINTENANCE
FEEDBACK?
Kalyan Veeramachaneni (@kveeramac, CEO/Founder @DataCebo) discusses the generation and value proposition of synthetic data for GenAI.
SHOW: 813
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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With the AI Era upon us, the challenge of trying to learn and make sense of the technologies, the business opportunities and the pitfalls is both exciting and equally terrifying.
SHOW: 812
SHOW TRANSCRIPT: The Cloudcast #812
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
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CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
WHEN WAS THE LAST TIME YOU REALLY LEARNED SOMETHING NEW IN TECH?
PICK A TOPIC, READ, BE CONFUSED, LOOK FOR CONFIRMATION, RINSE, REPEAT
FEEDBACK?
Brad Winett (President/Co-founder @TrackItCloud) talks about platforms for entertainment and media. Topics include use cases, partnering with AWS, and creation and consulting services. We even dig into AR and VR a bit at the end.
SHOW: 811
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Our topic for today is media and entertainment in the cloud. I don’t believe we have ever done a show specifically on this topic, and there are some considerations worth talking about. For today, we have Brad Winett, President and Co-founder at TrackIt. Brad, welcome to the show. Let’s jump right in. The media industry as a whole has undergone major change, just like many others. Most of us see it from the consumer end as a cord-cutter. What made you jump into this market and this industry specifically?
Topic 2 - Platforms and content distribution in the early days of cloud was a differentiator. I think back to Netflix, they initially had a market advantage because they were able to scale better and to more devices than anyone and even open sourced a number of internally developed items and were the AWS poster child. Over time, these user experiences have become the norm. How should people out there think about media platforms? Are we past the days of build your own?
Topic 3 - What about use cases? Media streaming is pretty broad. What does a normal customer look like? Is this big streaming services, smaller companies, etc?
Topic 4 - How much of the tech stack is AWS products and how much of the stack is custom typically? Walk us through what a media streaming stack looks like. How is this different from a SaaS provider providing a turnkey service?
Topic 5 - I know TrackIt is a big AWS partner. Give everyone an overview of the landscape of AWS Partnership these days. Do you provide mainly professional services and consulting?
Topic 6 - Where does open-source software fit into this?
Topic 7 - I feel the standard last question these days is how AI will potentially enhance or impact this is some way.
FEEDBACK?
What will be the adoption patterns for AI within the Enterprise? Will it follow the early days of Cloud Computing, or will new and different patterns emerge?
SHOW: 810
SHOW TRANSCRIPT: Cloudcast #810
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
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SHOW NOTES:
WHAT WERE THE PATTERNS FOR ENTERPRISE IT AND CLOUD?
WHAT’S DIFFERENT ABOUT AI vs. CLOUD?
FEEDBACK?
Aaron (@aarondelp) and Brian (@bgracely) discuss the biggest tech stories, announcements, and trends from March 2024.
SHOW: 809
SHOW TRANSCRIPT: https://bit.ly/cloudcast-809-transcript
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Segments Covered in the Show:
FEEDBACK?
Let’s dig into the mindset behind the VMware price increases that have been happening since Broadcom acquired the company in 2023.
SHOW: 808
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BROADCOM IS FITTING VMWARE INTO THEIR BUSINESS MODEL
IT'S A BOLD STRATEGY BROADCOM, LET’S SEE IF IT PAYS OFF FOR THEM
FEEDBACK?
Sean Falconer (@seanfalconer, Head of Dev Relations @SkyflowAPI, Host @software_daily) talks about security and privacy of LLMs and how to prevent PII (personally identifiable information) from leaking out
SHOW: 807
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Topic 1 - Our topic for today is the security and privacy LLMs. What’s Sean’s origin story?
Topic 2 - Let’s dig into LLM security and privacy. We see this concern a lot on the podcast and we’ve touched on it with various past shows, but we haven’t dug in deep. First, let’s frame the problem. What are we talking about when we talk about LLM security and privacy?
Topic 3 - First, there is a fear that customer PII information might leak out. Second, company IP or confidential into might leak out related to products or offerings. We’ve seen examples of both to date. This could be exposed in the form of integration into a model (query it for the answer) or in the fine-tuning or RAG stage. Either one could lead to compliance issues, lost rev etc. But, that same data at risk is the potential differentiation of the models. How do you both mask the data but take advantage of the data?
Topic 4 - One thing I’ve noticed is many orgs only think about privacy in relation to the fine-tuning stage where they are taking a broad model and making it company specific. It is about much more than that though. Just like standard software development, we have different stages. How is the data collected and stored, how is it used for training and fine-tuning, how is it used after deployment and during interaction stage, etc. How should security and privacy be handled across all phases?
Topic 5 - Let’s talk beyond LLMs for a bit. What about Data Lakes and Data Warehousing? I see this as a problem across all big data, correct?
Topic 6 - How does API security fit into this? Much of what we are talking about is at the storage and retrieval level. But, increasingly we see API issues exposing data. How does that fit in here?
Topic 7 - Let’s talk podcasts, we had Jeff, the previous host of Software Engineering Daily on a few times. How are things over at Software Engineering Daily? Tell everyone a bit about the show.
FEEDBACK?
If you’re planning to deploy AI for your business, here’s 5 important capabilities your business needs from the cloud era in order to be successful.
SHOW: 806
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IF YOU WANT TO DO AI WELL, YOU NEED TO HAVE DONE CLOUD WELL
5 IMPORTANT CLOUD CAPABILITIES NEEDED TO SUCCEED WITH AI
FEEDBACK?
Krish Ramineni (@krishramineni, CEO/Founder of @Firefliesai) talks about what it is like to build an AI product company in both the pre-LLM era as well as post-LLMs. We also discuss privacy and security concerns and AI behind the scenes.
SHOW: 805
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Topic 1 - Welcome to the show. Before diving into today’s discussion, tell us a little about your background.
Topic 2 - Our show and listeners tend to be interested and employed in the Enterprise infrastructure and AI/ML space. Some may find it surprising that we are talking today, but we wanted to really dig into how an up-and-coming AI company provides value at scale from individuals all the way to large enterprises. What goes into both building the product as well as taking that product to market? So, let’s start there. You recently posted about “Free AI” on LinkedIn. What was the problem you were trying to solve, and how did that influence the product you built?
Topic 3 - As the foundational models in the industry keep improving and are going multi-modal, do you worry that the LLMs of the world might push out specialized models? How do you think about staying ahead of the curve? How does something like GPU shortages or big companies like Meta purchasing thousands at a time impact your decisions?
Topic 4 - Fireflies.ai is all about the abstraction of the technology away from the user. They have no idea (and shouldn’t) about the back end and everything “behind the curtain”. How do you think about this abstraction layer from a product standpoint?
Topic 5 - Now, let’s talk about PLG vs. traditional Enterprise software sales models. You did another post about that recently. We’ve worked in environments selling both (sometimes at the same time), and they are very different motions. Do you feel both are needed to build an AI company?
Topic 6 - How does Security and compliance with IT departments fit into all of this? I’ve spoken to customers that have a policy of no AI tools at the personal level for instance or maybe client, company and private data might be at risk and only certain tools are vetted and approved. I’ve seen other companies only allow tools licensed by their corp IT. How do you navigate this issue? How does something like GDPR play here?
Topic 7 - Last question, another AI specific concern we hear about is companies training models on user data. What is your thoughts here? How does a company fine tune and train new models and products but keep customer and company privacy from leaking out?
FEEDBACK?
For years, the CNCF has been the central governance body for cloud-native projects. But are there too many projects now? What if the CNCF was less governance and more like private equity?
SHOW: 804
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WHY DOESN’T THE CNCF RECOMMEND A CLOUD-NATIVE STACK?
HOW MANY PROJECTS WOULD GET “CNCF APPROVED” IF THEY TOOK A PRIVATE EQUITY APPROACH?
FEEDBACK?
Eyal Solomon (@EyalSolomo44643, CEO/Founder of @lunardevapi) talks about integrating, controlling, and observability into 3rd party APIs and services. We discuss the trade-offs of integrating a 3rd party API and how it impacts simplicity and potential loss of insight.
SHOW: 803
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Topic 1 - Welcome to the show. Before diving into today’s discussion, tell us a little about your background.
Topic 2 - Controlling 3rd party APIs is increasingly becoming an issue for many organizations. As the world gets built on APIs, consumption of another company's APIs to ingest services is critical. But, this leads to all sorts of control and potentially cost issues. Please give everyone an introduction to the problem.
Topic 3 - Does this mean 3rd Party APIs are a tradeoff? Yes, you might be able to integrate APIs for a payment system for instance quickly, or maybe the latest AI SaaS service, but in doing so won’t an organization potentially lose oversight? Where do most organizations run into problems first? This reminds me of the early days of cloud and people leaving instances running and then getting huge bills and not knowing until it was too late. Is this similar?
Topic 4 - We’ve seen a lot of products and companies tackling the issue of internal company APIs, but not 3rd party APIs. Once an organization determines they have a problem, maybe an observability problem, perhaps a cost problem, maybe a compliance issue, etc. how would they get started gaining API observability and control in their org?
Topic 5 - Is this a solution that sits in traffic flow? Does this potentially introduce latency? Is this almost like a WAF for 3rd party APIs? What kinds of policies or restrictions can be put in place?
Topic 6 - What are some of the most common use cases you’ve seen and how do you solve them? What business decisions have to be made if they decide to restrict access in some way?
FEEDBACK?
2024 is the year of business accountability across all aspects of the software industry. This means that all variations of the free tier are going away in one way or another.
SHOW: 802
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WHY DID THE FREE TIER(S) EXIST IN THE FIRST PLACE?
WHAT ARE THE TRADE-OFFS WHEN THE FREE TIER GOES AWAY?
FEEDBACK?
Welcome to the "second monthly" Cloud News of the Month. Aaron and Brian discuss the biggest tech stories and five trends from February 2024.
SHOW: 801
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Segments Covered in the Show:
FEEDBACK?
Lots of people want to turn their hobby or passion into a money-making activity, or as the kids call it “a side hustle”. Let’s explore how to do it, and some mistakes to avoid.
SHOW: 800
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SO YOU WANT TO MAKE MORE MONEY?
HOW MUCH MORE ARE YOU WILLING TO WORK?
FEEDBACK?
Ronald McCollum (@RonaldMcCollam, Solutions Engineering @GrafanaLabs) talks about updates in the observability space and learning more about Grafana and data visualization.
SHOW: 799
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Topic 1 - Welcome to the show. Before diving into today’s discussion, tell us a little about your background.
Topic 2 - We last talked about Grafana back in 2019 and 2020. Observability continues to be a hot topic, how are you seeing the open-source community and open-source tools evolve in this space?
Topic 3 - We always hear about Grafana as a visualization tool. Grafana AND something (Grafana and Prometheus, Grafana and (insert logging/observability tool here). Is that still a fair assessment? Where does Grafana fit in a modern cloud-native observability stack these days?
Topic 4 - When you are speaking to folks out there, where does the data visualization story resonate the most in the organization, and does it become at times political and cultural (meaning cultural changes need to happen)? There can be an ROI/Business case to be made; developers integrations that will need to happen, SRE operations changes, etc. How do you get something that likely spans many different parts of the organization on board?
Topic 5 - Anytime I think about observability I think in two stages. Identification of the problem and resolution of the problem. Some tools address one or the other, and some attempt to do both. Where does Grafana fit on this continuum?
Topic 6 - I have to ask the AI question. How has AI changed or in your opinion will change observability and visualization in the near future?
Topic 7 - You’ve literally written the book on Grafana so this is a softball question. For those who are interested, how would you recommend they get started with Grafana
FEEDBACK?
If you have to build a keynote presentation, or any presentation for a large audience, what are the key areas to focus on? Here’s some tips on story-telling and audience engagement.
SHOW: 798
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BUILDING THE OVERALL STORY
THE KEY AREAS TO FOCUS ON
FEEDBACK?
Shreya Rajpal (@ShreyaR, CEO @guardrails_ai ) talks about the need to provide guardrails and validation of LLM’s, along with common use cases and Guardrail AI’s new Hub.
SHOW: 797
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Topic 1 - Welcome to the show. Before we dive into today’s discussion, tell us a little bit about your background.
Topic 2 - Our topic today is the validation and accuracy of AI with guardrails. Let’s start with the why… Why do we need guardrails for LLMs today?
Topic 3 - Where and how do you control (maybe validate is a better word) outputs from LLM’s today? What are your thoughts on the best way to validate outputs?
Topic 4 - Will this workflow work with both closed-source (ChatGPT) and opensource (Llama2) models? Would this process apply to training/fine-tuning or more for inference? Would this potentially replace humans in the loop that we see today or is this completely different?
Topic 5 - What are some of the most common early use cases and practical examples? PII detection comes to mind, violation of ethics or laws, off-topic/out of scope, or simply just something the model isn’t designed to provide?
Topic 6 - What happens if it fails? Does this create a loop scenario to try again?
Topic 7 - Let’s talk about Guardrails AI specifically. Today you offer an open-source marketplace of Validators in the Guardrails Hub, correct? As we mentioned earlier, almost everyone’s implementation and guardrails they want to implement will be different. Is the best way to think about this as building blocks using validators that are pieced together? Tell everyone a little bit about the offering
FEEDBACK?
Stu Miniman (@stu, Senior Director of Market Insights @RedHat) talks about the experience of The Sphere (@SphereVegas) in Las Vegas
SHOW: 796
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Topic 1 - Welcome back to the show. I think it’s fair to say that you’re a veteran of Las Vegas. How many times do you think you’ve been out there for tech-event related things?
Topic 2 - With tech events coming back, and even non-tech events going live again, Las Vegas is going to be a destination for a lot of people around our community. What did you know about The Sphere prior to visiting this past week?
Topic 3 - Tell us about the basics of The Sphere. How do you get there? Where is it in Las Vegas? What’s the entrance like?
Topic 4 - Beyond the movies or concerts in the stadium, what else is going on in the building?
Topic 5 - Let’s talk about the actual stadium experience. What’s the seating like, what are you seeing, how’s the sound?
Topic 6 - Any tips or tricks for anyone considering a visit to The Sphere?
FEEDBACK?
Marco Palladino (@subnetmarco, CTO/Co-Founder @thekonginc) talks about the evolution of APIs, the need for consolidation and integration of AI APIs, and introduces the AI Gateway.
SHOW: 795
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Topic 1 - Welcome to the show. Before we dive into today’s discussion, tell us a little bit about your background at Kong and prior to Kong.
Topic 2 - Now that the world is obsessed with AI and AI Models, what roles do APIs continue to play for applications?
Topic 3 - You’ve lived through the API marketplace days. Do you see a lot of differences between API marketplaces and model marketplaces (e.g. like HuggingFace)?
Topic 4 - You’ve talked recently about the concept of an AI Gateway, somewhat as an evolution of an API Gateway. Walk us through this new concept.
Topic 5 - API Gateways can provide a lot of protection for known things by looking into various headers, security keys, and packet data. Can you imagine AI Gateways being able to have insights into model data to do things like Prompt Control, Hallucination Control, etc.?
Topic 6 - We’ve seen the merging of API Gateways (North/South) and Service Mesh (East/West) traffic as new application patterns emerged. Do you think we’ll see new traffic patterns again with AI traffic and AI model interactions?
FEEDBACK?
Big 3 cloud providers investing in AI with cloud credits. $7 trillion dollar big plans. VCs concerned about AI valuations. It feels like a new set of rules are being created.
SHOW: 794
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ARE CLOUD CREDITS THE NEW VENTURE CAPITAL?
KEEP AN EYE ON AI USAGE “TRENDS” FROM THE BIG CLOUD PROVIDERS
FEEDBACK?
Welcome to the inaugural Cloud News of the Month. Aaron and Brian talk about the biggest tech stories from January 2024.
SHOW: 793
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Topic 1 - Let’s begin with the state of work - employees vs. management.
Topic 2 - Lots of changes finally announced by Broadcom about the new VMware (here, here)
Topic 3 - We’re starting to see the end of the Unicorns of 2021. This feels like it’s going to be a quiet crash.
Topic 4 - The CNCF and Linux foundation released some project velocity numbers. Looks like Kubernetes, GitOps, Telemetry, Backstage are at the top, with some noise around Envoy/Istio/Cilium
Topic 5 - There was a lot of buzz around Basecamp’s numbers for repatriating back to their private cloud.
Topic 6 - AI Speed Round...
FEEDBACK?
Some say the Internet has gone to sh*t. Between bundling and unbundling, how does “ensh*tification” happen, and are there ways to prevent or reduce it?
SHOW: 792
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IN THE DIGITAL WORLD, IT’S EASY TO BUNDLE THINGS TOGETHER
CAPITALISM, FREE-ISM, AND ALIGNMENT OF INCENTIVES
FEEDBACK?
Aneel Lakhani (@aneel, Investor, @crane_vc Crane Venture Partners) talks about the challenges of VC funding and building profitable companies based on open-source software.
SHOW: 791
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Welcome back. You’re almost in the 5 timers club at this point, and a returning guest from our look-ahead shows in 2023. For our new listeners, tell everyone a little bit about yourself
Topic 2 - You recently gave a talk at Monktoberfest about the problem with money in software, specifically open-source software. The crux of it was that VCs require high returns on investments, and software has short windows to gain adoption.
Topic 3 - Could that talk have been given any time over the last 5+ years, or was it triggered by recent “events” with open source companies (e.g. Hashicorp)?
Topic 4 - Has VC thinking changed about software, given that open source provided essentially early marketing and awareness for “free,” but that comes with user expectations of free (cost) as well? Are there any new ideas about how to build cost-effective software moats?
Topic 5 - There are various “conspiracies” floating around that VCs negotiate “the rug pull” with companies at each funding round. Especially in the early stages (where you focus), how much is the VC focused on getting the idea off the ground vs. the validity of the business model? When does the business model discussion typically start?
Topic 6 - We’ve said before that there will never be another Enterprise Software company after VMware. Has the era of open-source enterprise startups ended, or does it just need to go through a phase of rediscovery?
FEEDBACK?
Every company is trying to figure out how to harness the power of AI. Let’s look at some frameworks to accelerate innovation, allow for experimentation, and manage long-term success.
SHOW: 790
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GETTING STARTED AND ESTABLISHING THE FUNDAMENTALS
EARLY SUCCESS, MATURITY MODELS, AND ENTERPRISE COMPLEXITIES
FEEDBACK?
Gene Kim (@RealGeneKim, Author, Organizational Operations Researcher) talks about the challenges of organizing a team, group, or company to be successful in simple and complex tasks.
SHOW: 789
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Topic 1 - Welcome back. It’s been way too long. What have you been up to lately? Tell us a little bit about your co-author and where the research for this book came from.
Topic 2 - This is a different type of book than The Phoenix Project or Unicorn Project, in that it seems more about managerial structure and research than the inspirational story-telling of past books. Is this addressing a different audience, or you felt that it needed a different framework to make the biggest impact?
Topic 3 - At the core of the book are three concepts, amplification (where are the problems) which results in slowificaion (create space for problem solving) and simplification (make problems themselves easier to solve). Walk us through each of these.
Topic 4 - As I was reading this book, the thing that jumped out at me the most was the importance of alignment between problem scope, how teams or individuals were aligned, and how much flexibility could be given to different parts of the problem/solution.
Topic 5 - The Phoenix and Unicorn Projects inspired a generation of IT professionals to be the champion of the change in their organization. What feedback have you gotten from the readers of Wiring the Winning Organization so far?
Topic 6 - These days everyone wants learnings to be quick and with immediate results. Is there a TikTok version of the learnings from this book that anyone could use immediately?
FEEDBACK?
Lots of trends happen in technology, but which ones of them are significant changes vs. just adjacencies to previous trends. Let’s explore technology shifts vs. drifts.
SHOW: 788
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WHAT IS A SHIFT AND WHAT IS A DRIFT?
HOW IMPORTANT IS OBVIOUS ECONOMIC IMPACT?
FEEDBACK?
Brian and Brandon Whichard (@bwhichard, @SoftwareDefinedTalk) talk about comparing AWS vs Azure, evaluating alternatives and what changes over the next 3-5 years.
SHOW: 787
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Topic 1 - Depending on what metric we use (revenue, Gartner MQ, CAPEX spending, headlines), it’s starting to seem like AWS and Azure are pretty neck and neck. Do you see much difference between those two clouds?
Topic 2 - Gartner’s summary boils down to “AWS is better at infrastructure” and “Azure is better at developer services”. If you’re a customer, how do you choose between those ends of the spectrum, or are you mostly choosing both services?
Topic 3 - AWS claims to be the more secure cloud. Aside from some stability issues in various regions (or either AWS or Azure), are there really any indications that one cloud is “more secure” than the other? Don’t they mostly put the burden on the customer and their applications?
Topic 4 - Did you see any distinct usage trends for companies choosing AWS vs. Azure? We’ve seen somewhere between 10-15% of apps move to the cloud (lift & shift?) over the last 10+ years and growth rates are slowing. Can either significantly move that number without some big changes, or is it just a slow, gradual growth?
Topic 5 - We’ve talked a lot about AI recently. How much do you think the AI strategies of AWS vs Azure will impact bigger usage decisions?
Topic 6 - AWS is still #1 and Azure is #2. Is there anything over the next 3-4 years that could shakeup that order?
FEEDBACK?
Return to Office, Layoffs, Acquisitions,and Shareholder Accountability are dominating the worker-level discussions in early 2024. Let’s dig into what’s really happening.
SHOW: 786
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WHY IS ALL OF THIS HAPPENING NOW?
2024 WILL BE A YEAR OF ACCOUNTABILITY
FEEDBACK?
Brian and Brandon Whichard (@bwhichard, @SoftwareDefinedTalk) talk about surviving the annual planning process and Q1 goals, KPIs, politics, priorities, etc
SHOW: 785
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Topic 1 - The new year is upon us. What sorts of strategies do you use (or have you used) to deal with the onslaught of 2024 planning, Q1 goals/KPIs, etc.? Are you a fast-starter or trying to lay low?
Topic 2 - What are some of the ways that you’ve seen people deal with the annual goals that seem overwhelming (or hard to project) in January?
Topic 3 - What are the biggest pitfalls for being too aggressive too early in 2024? What are the biggest upsides for being aggressive?
Topic 4 - Even though the calendar flips in December, it doesn’t mean everything starts over (or starts new). How do you deal with the projects that have completely different priorities on January 1st vs. December 31st?
Topic 5 - Who are the key people you’re trying to align with in Q1? Is it managers, or finance, or strategy people….or someone else?
Topic 6 - Any big disasters to avoid in Q1 that can ruin the rest of the year?
Topic 7 - Final thoughts on winning at the beginning of the year?
FEEDBACK?
More than a decade into cloud, is cloud just a feature of the systems we build these days? What else might become features in the near future?
SHOW: 784
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IS THE CLOUD JUST A FEATURE NOW?
WHAT MIGHT BECOME A FEATURE OF MODERN SYSTEMS?
LESSONS LEARNED
FEEDBACK?
Aaron and Brian talk to Mark Hinkle (@mrhinkle, Founder @peripety_labs) about enabling AI to drive personal productivity, AI experimentation and AIOps soft skills.
SHOW: 783
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Welcome back to the show. Give our audience a little bit of your background and what you focus on now with Peripety Labs?
Topic 2 - If you’re a business leader today, where are you focusing your priorities in terms of taking advantage of AI to improve the business?
Topic 3 - If you’re a knowledge worker today, where are you focusing your priorities in terms of taking advantage of AI to improve your job?
Topic 4 - What’s a good way to think about experimentation with AI vs. trying to start measuring results now? Any tips to help companies or workers accelerate their learning curves?
Topic 5 - What are some of the biggest misconceptions you’re seeing across the industry right now around AI? Concerns, fears, anti-patterns, etc.
Topic 6 - We’re learned over many years (and technology trends) that the most successful ones align technology and people/culture/organization. What are the AI alignments of people and technology that are most needed?
FEEDBACK?
@AaronDelp and @BGracely talk about the biggest stories, trends and events of cloud in 2023, and some predictions for 2024.
SHOW: 782
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THE BASICS:
2023 PREDICTIONS:
AARON’S PREDICTIONS:
BRIAN’S PREDICTIONS:
FEEDBACK?
Aaron, Brian and Brandon Whichard (@bwhichard, Software Defined Talk) talk about the November OpenAI drama and how it potentially impacts the entire AI industry in 2024.
SHOW: 781
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Post-mortem - what do we know about what happened with the almost coup at OpenAI? What speculation (rumors) have been the loudest?
Topic 2 - What are the biggest unknowns?
Topic 2a - What are going to be the biggest concerns and enticements for customers looking at different models to use? Is it ease of use? A single model? Privacy and security?
Topic 2b - Who cracks the code on simplification and personalization? OpenAI with customer GPT’s? OSS models with fine-tuning/RAG?
Topic 3 - Is it possible that the OpenAI model (e.g. GPT-4, or Q*) will continue to be considerably better than all the other existing and emerging models? Do small language models take over? Do specialized models trained on private licensed data become a differentiator?
Topic 4 - Who is driving AI at Google? Is it within GCP, or is there now a commercial side of Google Brain / Deepmind?
Topic 5 - Who is driving AI at Amazon/AWS? How did AWS get into a position where it seems to have so little control over its models?
Topic 6 - Where will the control over AI reside (in the technology stack)?
Topic 7 - Will the AI “wars” be more chaotic that the Cloud “wars” of the last decade? Will we see war-time CEOs? Will we see more irrational decisions?
Topic 8 - Will AI-specific clouds emerge? Will data-specific clouds emerge? Will model-specific clouds emerge?
FEEDBACK?
Aaron and Brian answer mailbag questions from the community about the future of open source, future of VMware, the Big 3 Clouds and how AI will impact the next era of cloud.
SHOW: 780
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Q1: What are the bigger picture dynamics happening around open source?
Q2: Lots of companies talk about wanting to modernize applications, but it seems really complicated? Is there anything on the horizon to make it easier?
Q3: What have you seen as the most important things to make modernization work well?
Q4: Do you have any thoughts about Broadcom taking over VMware?
Q5: Has anything really changed in the dynamics between the three big cloud providers, or do you expect AWS to just stay in the lead for the foreseeable future?
Q6: During the Phases of Cloud shows, you talked about it beginning to start a new phase of the cloud. What expectations do you have for the next phase?
Q7: There have been a bunch of AI shows lately. If I’m not a Data Scientist, should I bother listening to those shows?
Q8: A bunch of us at work are experimenting with various AI technologies, but we’re being told by our employer that it might violate some legal issues and expose some work data. Any thoughts?
Q9: Do you have any plans to do any Cloudcast Basics series about some of the AI technologies?
FEEDBACK?
Karel Callens (@KarelCallens, CEO/Founder @luzmo_official) talks about the importance of SaaS Analytics and how to build dashboards into SaaS services while maintaining security and compliance
SHOW: 779
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Topic 1 - Welcome to the show. Karel, tell us a little bit about your background, and what brought you to create Luzmo (formally Cumul.io)
Topic 2 - Our topic today is SaaS Analytics. Let’s start with SaaS as an industry. We’ve covered the rise of SaaS here on the show over the years, but we haven’t really dug into the operations and analytics side in the past. Why is there a need for SaaS analytics? What problem are we trying to solve?
Topic 3 - How does the concept of data visualization come into play when building out SaaS? What are the benefits, and what are we saving? Is this time to value? Service cost
Topic 4 - How does data locality and regulations in the industry impact this? Take GDPR or CCPA, for example. Are they working as intended?
Topic 5 - What are the most common use cases you see with your customers today
Topic 6 - Are there limits or best practices to data exposure in a service? Just because you can expose something doesn’t mean you should. How do you recommend organizations tackle the proper balance?
FEEDBACK?
What were the major announcements at 2023 AWS re:Invent? What did we learn about their AI strategy? What did we learn about how they continue to evolve the business?
SHOW: 778
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AWS MANAGES THE TRANSITION FROM ONE CLOUD ERA TO THE NEXT
FEEDBACK?
GUEST: Alex Kvamme (@KwameKvamme, CEO @GetPathlight) talks about using AI to unlock market insights from discussions with customers and partners.
SHOW: 777
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Topic 1 - Welcome to the show. Alex, Tell us a bit about your background.
Topic 2 - What is the concept of conversational intelligence and how does it apply to most organizations today? What problem is it trying to solve?
Topic 3 - I would think there is a trade off between time and resources to get to a customer issue vs. the value of that insight. How does an organization weigh the opportunity cost? How do you keep the insights generated from being overwhelming
Topic 4 - Let’s move from the concept to practical. Where is the data in most organizations today that will yield results and solve problems? How would you suggest folks get started and what use case are they likely to implement first? Is this data that humans either can’t or won’t get too because it is an enormous amount or maybe too tedious to pay for?
Topic 5 - How does all of this work under the hood? Is this one model or multiple models working in parallel? Is there a framework for the operations and lifecycle managed by an organization?
Topic 6 - Let’s talk about what it takes to get an LLM into production. The the rise of LLM’s and foundational models such as Llama2, there is an interest for organizations to use LLM’s, but going from concept to production still has a high barrier to entry. It’s easy to download a model, it’s much harder to either fine-tune it or set up RAG with a vector database for your specific use case. Would you agree and what are your thoughts?
FEEDBACK?
How did the modern cloud evolve from the earliest days of AWS to today’s AI boom? What roles did open source, mobile apps, microservices and the sharing economy play?
SHOW: 776
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FEEDBACK?
Gary Harmson (Principal Customer Engineer @Google) and Ieva Jonaityte (Technical Account Mgr @DoIT) talk about the team dynamics, culture and training that drive FinOps success.
SHOW: 775
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Topic 1 - Welcome to the show and back to the show. Gary, tell us about your background and what areas you focus on at Google Cloud these days.
Topic 2 - Let’s begin by talking about language, specifically the gaps in language (and understanding) between engineering teams and finance teams. What works today and where are the biggest gaps and challenges?
Topic 3 - One of the challenges of Cloud billing, and hence FinOps, is the 100s or 1000s or line-items. What are they for? How are they changing? What are some of the things/tools out there to make sense of all of this spend? (e.g. visualization, tagging, etc.)
Topic 4 - We’re all familiar with budgeting (pre-activity) and complaints about project/cost overruns (post-activity), but what are some of the things happening mid-project, or on-going to avoid the surprises or overruns?
Topic 5 - How much of these on-going changes/tracking is done by the engineering teams and how much is being done by finance teams?
Topic 6 - Can you share with us examples of how companies have evolved with good FinOps principles and hygiene in place?
FEEDBACK?
How did the 2001 dotCom bubble burst lead to the 2008 housing crisis and how did it impact the technology markets? And the OpenAI Coup-oops!
SHOW: 774
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A BRIEF SUMMARY OF THE OPEN AI COUP ATTEMPT
HOW DID DOTCOM BUBBLE LEAD TO HOUSING CRASH AND CLOUD?
FEEDBACK?
Can you still call them the FAANG companies considering Facebook is now Meta and Google is now Alphabet? Maybe it’s MAANA now?! Elliott Clark (CEO/Founder, Batteries Included) talks about creating a Platform Engineering org and building an IDP before it was cool.
SHOW: 773
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Topic 1 - Welcome to the show. Elliott, you have some great experiences at Cloudera and Meta/Facebook that shaped you moving out to start your own thing at Batteries Included. Give everyone a brief background please.
Topic 2 - You were building Internal Developer Platforms (IDP) and doing Platform Engineering before it was cool. Tell everyone a little about the need and how it came to be at Meta/Facebook.
Topic 3 - I think it’s probably important to talk about the origin stories for this. What was the problem to solve? How was it solved? What was the final “product” and how was it used?
Topic 3a - Anything you would have done differently?
Topic 4 - We always hear stories about the FAANG companies and the scale they operate in. But, we hear mixed things about if following those practices are a good idea. Some say we should use them because we know it is repeatable at scale. Others say the practices are only relevant at those companies and most organizations don’t need that level of complexity. Thoughts? What are the pros and cons?
Topic 5 - What are your thoughts on the current and future state of Platform Engineering and Internal Developer Platforms? There seems to be a tension between being prescriptive or opinionated enough for operations to scale vs. developers needing to use the tools they know and love to be as productive as possible. Thoughts?
Topic 6 - Let’s talk about Open Source. Many have heard about Backstage when it comes to Platform Engineering and we’ve even talked about it on this show before. What are your thoughts around building these platforms on OSS. Also, any thoughts on OSS being cost prohibitive?
FEEDBACK?
What happened in the lead-up to the Internet Bubble burst of 2001? What went right, what went wrong, and what lessons did we learn? (Part 1 of 3)
SHOW: 772
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Original Tweet that inspired the show: https://x.com/forrestbrazeal/status/1719827334834913283?s=20
“Looking for recommendations: what’s the best book ever written about the dotcom bubble? Specifically looking for something that captures the emotions of that time as well as the mechanics”
THE BROWSER, THE NETWORKS, THE CARRIERS AND POSSIBILITIES
EVERYTHING ALWAYS GOES UP, EVERYDAY, RIGHT?
LESSONS LEARNED:
FEEDBACK?
Jeff Huber (@jeffreyhuber, Founder/CEO @trychroma) talks vector databases, data integration, RAG, Embedded models, and AI integration.
SHOW: 771
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what brought you to create Chroma.
Topic 2 - Our audience, like many out there, is learning AI as fast as they can. So, let’s start with a few basic concepts. What is a vector database, and why is it important to AI?
Topic 3 - Does this only help foundational models? What goes into the integration into a model, and can this be used with any model?
Topic 4 - Is RAG (Retrieval-Augmented Generation) possible without a vector database?
Topic 5 - What are the trade-offs between fine-tuning a model (adding the data in) vs. RAG (keeping the data external)?
Topic 6 - What else is needed to create an “AI Stack”?
Topic 7 - Let’s talk about Chroma. First off, there is the OSS project which has been a huge success. Over 3 million downloads and 9.5k Github stars and inclusion into some 10k plus projects. Tell everyone a little bit about Chroma and what makes it different. You recently also announced a major milestone, over one million instances running
FEEDBACK?
AI is reaching the point where there is wild speculation, potential regulations, and opinions on if it will destroy humanity. So how does anyone make sense of all of it?
SHOW: 770
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ARE WE UNDER OR OVER REACTING TO THE AI POSSIBILITIES?
WHAT ARE THE OPEN, REGULATIVE AND STRUCTURAL GUARDRAILS OF AI
FEEDBACK?
Eli Aleyner (@ealeyner, Co-founder at @AtomicJarInc) talks about the issues with shifting left and how to reduce developer frustration with Testcontainers.
SHOW: 769
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what brought you to create AtomicJar
Topic 2 - Let’s start at the beginning. We hear more and more about shifting everything left. In this case we are talking about potentially shifting testing left. What problem are we trying to solve and everything comes at a cost, what are the tradeoffs?
Topic 3 - We hear all the time that adoption of changes to a development practice is part culture and part technology. What is the hook that gets folks interested in investing time and resources into better testing practices?
Topic 4 - Are the tests integrated into the code? How seamless is this into existing CI/CD pipelines or an organization's DevOps practice on average?
Topic 5 - From a business perspective, how are the advantages typically measured? More deployments, less defects, etc
Topic 6 - Let’s talk about the OSS project Testcontainers a bit. What is it? How did it come about? How are folks using this concept of throwaway, lightweight instances of databases, message brokers, and web browsers, for instance. Is this all in Docker containers?
Topic 7 - There’s also testing in the cloud with a SaaS service (Testcontiners Cloud). What is the origin story behind this and how are folks using it today? Is this a replacement for say Docker Desktop?
Topic 8 - For those out there that are interested? How would they get started?
FEEDBACK?
Your favorite product just announced something new and you’re upset. Why didn’t they tell you about it ahead of time? Why didn’t they ask for your feedback? How does a launch work?
SHOW: 768
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WHY DID THEY ANNOUNCE IT NOW?
WHAT HAPPENS BEHIND THE SCENES? WHAT ARE THE OPTIONS & ALTERNATIVES?
FEEDBACK?
Tim Miller (@broadcaststorm, Technical Marketing Engineer, Outshift by @Cisco) talks about new ways to approach the overwhelming security challenges created by cloud-native apps and multi-cloud.
SHOW: 767
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Topic 1 - Welcome to the show. Tell us a bit about your background and what you focus on these days at Outshift by Cisco.
Topic 2 - Let’s begin by talking about the security challenges that come with modern applications and cloud environments.
Topic 3 - The classic challenges of security have always been too many tools, not enough people, lots of misconfigurations, tons of red on the dashboard. Are there new approaches that are trying to address these challenges?
Topic 4 - Talk to us about this concept of “Attack Path Analysis”. What is it? What is it trying to accomplish that we didn’t/couldn’t do before?
Topic 5 - How does Panoptica address many of these challenges? How does it integrate with the many areas of the entire picture, from IaC to CI/CD to Observability?
Topic 6 - What are some differences that DevOps teams might experience by using Attack Path Analysis?
FEEDBACK?
Aaron and Brian talk about new changes coming to The Cloudcast over the next couple of weeks and months. New shows, new focus areas, and new schedules.
SHOW: 766
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BETWEEN COVID AND THE ECONOMY, EVERYTHING HAS CHANGED IN PODCASTING
WHAT WILL CLOUDCAST 2.0 LOOK LIKE?
FEEDBACK?
Shannon Williams (@smw355, President @AcornLabs) & Darren Shepherd (@ibuildthecloud. Chief Architect ) talk about abstracting away dependencies for developers and packaging in Acorns. We also cover the announcement of Acorn running in AWS.
SHOW: 765
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Topic 1 - Welcome back to the show. We’ve spoken a few times over the years. First at cloud.com, then at Rancher. For those that aren’t familiar, give everyone a quick background.
Topic 2 - This core team has been working together for over ten years and have been through 3 startups now. What makes you want to do it again?
Topic 3 - Let’s talk Acorn Labs, what is the problem you’re trying to solve in the market? Explain to everyone the concept of an application development framework.
Topic 4 - Anything new going on? Announcement of Acorn running in AWS
Topic 5 - You use terms like Acorns, Acornfiles, Acorn services, and even nested acorns. Can you explain the architecture design and how it all connects together? What all are you packaging up (Docker images, configuration files, etc.) What are the advantages to this?
Topic 6 - Can Acorn be considered a runtime abstraction layer?
Topic 7 - This is sort of like a PaaS, or PaaS-like. None of the cloud providers have a service like this on top of their Kubernetes services. What do you know that they don’t
Topic 8 - How do you balance the specificity of individual cloud service but at the same time present a common interface/layer to developers?
FEEDBACK?
As Docker talks about their successes and failures after 10 years, what lessons can be learned by open source companies, projects and foundations over the past decade.
SHOW: 764
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IT’S HARD TO SEE THE FOREST FOR THE TREES
WHAT HAS THE INDUSTRY LEARNED FROM THE DOCKER DAYS?
FEEDBACK?
Joe Curley (VP/GM Software & Ecosystem @ Intel) and Arun Gupta (@arungupta, VP/GM Open Ecosystems @ Intel) talk about OSS Software and Open Ecosystems.
SHOW: 763
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Topic 1 - Welcome to the show. Joe and Arun, give everyone a brief background please.
Topic 2 - For many of our listeners, they may not equate Intel with Software and Open Source. Can you give everyone some background on how the intersection of Intel and Open Ecosystems came to be and your involvement today? What’s in it for developers
Topic 3 - How does Open Source Software fit into Intel’s broader software strategy
Topic 4 - What are the trends you are seeing in OSS and how does that impact Intel? How does that impact organizations today?
Topic 5 - What kind of investments does Intel make into Open Source and Open Tools? There is Intel’s oneAPI for instance…
Topic 6 - Artificial Intelligence seems to be everywhere, how does AI fit into Intel’s hardware and software vision and strategy?
Topic 7 - Any final closing thoughts on the future and what to expect from Intel in the future?
FEEDBACK?
Between open source, open core, ad-supported and SaaS, software-focused business models are being questioned. Will new business models emerge in the next few years?
SHOW: 762
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ARE THERE ANY VALID SOFTWARE BUSINESS MODELS LEFT?
WILL THE NEXT GENERATION PAY FOR SOFTWARE, IN ANY WAY?
FEEDBACK?
Anish Bishen (Chief Data Architect @Sliide), Jay Rawal (Head of DevOps @Sliide), Ieva Jonaityte (TAM @DoIT) talk about scaling infrastructure and data services at a rapidly growing startup, with FinOps enabled.
SHOW: 761
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All Things Open 2023 is making 5 free passes + a 20% discount available to the Cloudcast community! More than 150 speakers and 175 sessions will be featured in downtown Raleigh October 15-17.
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Topic 1 - Welcome to the show. Give us a little bit of your background and your focus areas today.
Topic 2 - Sliide delivers a platform that allows Carriers and OEMs to deliver unique digital experiences to customers. Tell us about the architecture behind the platform and some of the bigger challenges you have in delivering those services at scale.
Topic 3 - When delivering services for mobile, there are tons of variables involved (user-experience, bandwidth management, backend data collection, analytics, etc.). What do you think about the tradeoffs in terms of costs vs. experience?
Topic 4 - DId you look at the cost optimizations as a one-time project, or is a FInOps focus now part of your on-going planning and operations? How does that function work with the rest of the platform team?
Topic 5 - You’ve been working with the DoIT team to help optimize the platform and overall costs. How did you decide to work with DoIT to augment your team, and what were some of the core areas you focused on?
Topic 6 - What lessons learned would you pass along to other platform teams?
FEEDBACK?
With many companies doing annual reviews this time of year, we go through some guidance, tips and tricks and strategies for navigating reviews with your manager, and reviews with your teams.
SHOW: 760
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HOW TO MANAGE THE PROCESS THROUGHOUT THE YEAR
THE GOOD, BAD AND THE UGLY OF THE ANNUAL REVIEW
FEEDBACK?
Mike Long (CEO @_kosli) talks about the challenges of enabling Governance and Compliance into DevOps teams and processes
SHOW: 759
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All Things Open 2023 is making 5 free passes + a 20% discount available to the Cloudcast community! More than 150 speakers and 175 sessions will be featured in downtown Raleigh October 15-17.
Put Generative AI to Work Virtual Conference, 3 Free passes are available! Email us (address below). Once those are gone, use CLOUDCAST40 for 40% off!
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Topic 1 - Welcome to the show. Tell us a bit about your background.
Topic 2 - Let’s talk about building software for businesses. Lots of people have read the Phoenix Project, and yet most companies still struggle to deploy software fast enough. Where are the bottlenecks today?
Topic 3 - What about Governance or Compliance or Auditing as functions? Can you help the audience understand their purpose and what those groups/functions do?
Topic 4 - Software development seems to boil down to lots of impedance mismatches due to managing risk (testing, security, compliance, etc.). How does Kosli play a role in trying to improve those mismatches?
Topic 5 - DevOps Automated Governance. What is it, how is it implemented, what benefits do companies get from it?
Topic 6 - Kosli technology is often described as “a flight recorder for your runtime environments”. Is the recorder primarily for the auditors, or does it become part of operations?
'Topic 7 - How do companies typically get started using Kosli? Does it have to be all at once, are is there a typical Crawl-Walk-Run model?
FEEDBACK?
Today we explore what to do when you’re stuck at a career crossroads between being technically valuable and managerial or leadership valuable. How to consider the tradeoffs.
SHOW: 758
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SHOW NOTES:
I BROKE INTO THE INDUSTRY THROUGH A TECHNOLOGY TRACK, BUT I BROUGHT MORE TO THE TABLE
NOW I’M FINDING THAT I’M GOOD AT MANAGING, BUT I DON’T KNOW IF IT BRINGS ME JOY
FEEDBACK?
Aaron Delp and Brian Gracely discuss the possibility of another major cloud provider emerging as the economy changes and new application workloads begin to take shape.
SHOW: 757
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Do you remember back when AWS was starting to take off, and Simon Wardley used to talk about how IBM or HP or Cisco or EMC/VMware should have been the ones building the utility cloud services?
Topic 2 - We’re now at a stage when all anyone can talk about is AI (Generative AI, LLMs, etc.) and GPUs. So which one is more powerful, the Models/Data or the Infrastructure?
Topic 3 - Is it possible that NVIDIA could start building their own cloud? Do they potentially want to own a more vertical experience?
Topic 4 - Obviously the buildout costs are enormous, but are they that much different from what the Big 3 are trying to do in retrofitting existing data centers, or hiring to build their own mini-Nuclear reactors?
Topic 5 - Who could potentially be a partner to NVIDIA in building out this type of cloud in the near-term? (Equinix, national governments, cities-of-the-future, sovereign wealth funds, etc.)
FEEDBACK?
What happens when every software company needs to be a hardware company first? And how are leading VC firms potentially predicting that the 2000s will be repeating themselves?
SHOW: 756
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SHOW NOTES:
BACK IN THE DOT COM DAYS, WE ASSUMED THAT EVERYTHING WOULD BE INTERNET
NOW WE ASSUME THAT EVERYTHING WILL BE AI (and GPUs)
FEEDBACK?
Alex Ratner (@ajratner, CEO @SnorkelAI) talks about labeling and training of LLMs. We go over Foundational Models and how to take an “off the shelf” model and fine-tune it for private use.
SHOW: 755
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Topic 1 - Welcome back to the show. We last spoke two years ago. A lot has changed so we thought it would be a great time to talk about updates. For those that aren’t familiar, give everyone a quick background.
Topic 2 - Let’s start with when we last spoke. We talked a lot about data scientists and how data labeling works for training LLM’s. For those that aren’t familiar, can you give everyone a quick intro to data labeling and why it is important for training?
Topic 3 - When we last spoke, LLM weren't as mainstream as they are today. How has this impacted how you think about AI/ML in general? What are the big challenges for LLM today that you see?
Topic 4 - Many organizations are trying “off the shelf” models but this may or may not be a good idea. On one side they don’t have to build a model but on the other they still have to fine tune it to their specific needs and use case. What are your recommendations for organizations to get started and be as effective as possible?
Topic 5 - In addition to organization specific models, are teams building purpose built models for specific functions (i.e. are they running multiple models each with a different task?) How does labeling and training come into play here?
Topic 6 - Another challenge I’m seeing is security and data privacy concerns. What do folks getting started need to be aware of to make sure company data is safe?
FEEDBACK?
As OSS projects continue to look for ways to balance community, sustainability and profitability, let’s explore some alternative considerations for companies and communities.
SHOW: 754
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OPEN SOURCE HAS BECOME CRITICAL INFRASTRUCTURE FOR BUSINESSES
DO OSS PROJECT NEED MORE STRUCTURE TO SUCCEED OR SUSTAIN?
FEEDBACK?
Matt Spitz (@mattspitz, Head of Engineering at @TrustVanta) talks about the challenges of developer security and compliance.
SHOW: 753
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Welcome to the show. Tell us a little bit about your background. What made you join Vanta and did your experience at Dropbox factor into this decision?
Topic 2 - Our topic today is developer security and compliance. Let’s start by helping our listeners understand the problem. We hear all the time about developers wanting to go fast. Things like security and compliance can be an afterthought. Do you agree and is this the root of the problem or is it something else?
Topic 3 - Most organizations, especially smaller orgs or startups just getting going, they just want to get to MVP, what advice to you have for them in building security and compliance into their CI/CD pipelines so this becomes more programmatic?
Topic 4 - Security is certainly one angle, but probably just as important, if not more so is compliance. To make it slightly more difficult, compliance can mean many different things based on geography (SOC in US for instance). How do organizations staff for this and keep up with regulation changes? Or, maybe on the flip side, is this a common area where they are understaffed and need outside assistance?
Topic 5 - In security and compliance worlds there is often the concept of identification and discovery as one part, but remediation as the second part. Where and how does Vanta work with organizations to solve for both vectors?
Topic 6 - Automation, especially into CI/CD pipelines seems like a no-brainer here, but I would also add is this an area where AI/ML will come into play in the future?
Topic 7 - If folks want to dig in and learn more, how do you suggest they get started?
FEEDBACK?
As digital transformations are happening to major industries, we’ve moved into an era where legal issues could become more prevalent than the technologies.
SHOW: 752
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BREAK THE LAW NOW, AND ASK FOR FORGIVENESS LATER?
IS THE LIABILITY IN BUSINESS MODEL, IP, PRIVACY, FRAUD OR CORRUPTION
FEEDBACK?
Joe Duffy (@funcOfJoe, Co-Founder/CEO @PulumiCorp) talks about the evolution of infrastructure as code, the challenges of multi-cloud, and applying Generative AI to Ops.
SHOW: 751
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Topic 1 - Welcome to the show. Tell us a little bit about your background. What made you found Pulumi and you have an extensive developer background at Microsoft as well.
Topic 2 - Pulumi’s been in the market for 6+ years and we first spoke 4 years ago. Has the IaC space “settled down”? Do you consider it still emerging, evolving, or mature at this point?
Topic 3 - We’re seeing a lot of organizations manage resources and infrastructure across multiple clouds. What are the big challenges of multiple vs. single clouds?
Topic 4 - Another big trend is of course Generative AI. You recently announced Pulumi Insights. Can you tell everyone about how this came to be and the problem you are trying to solve?
Topic 5 - Let’s talk about culture quickly. How do organizations, especially large organizations with many groups and tools, standardize tools and processes? What are the big hurdles that need to be overcome?
Topic 6 - OSS has been in the news lately, especially around the Terraform project. What are your thoughts on OSS and its place in IaC both today and going forward?
Topic 7 - We see you have a big webinar coming up. It looks to be a great place to dig in and get started. Tell everyone about it for those out there that want to know more.
FEEDBACK?
As we celebrate Labor Day (at least in the US), a few labor-centric topics are starting to dominate the headlines - Return to Office (RTO) and AI Augmentation. Let’s discuss how they might play out.
SHOW: 750
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GO TO THE OFFICE, WORK FROM HOME, OR SOME SORT OF HYBRID?
AI IS PROMISING TO DRIVE PRODUCTIVITY, BUT AT WHOSE COST?
FEEDBACK?
Luis Ceze (@luisceze, Founder/CEO @OctoML) talks about barriers to entry for AI & ML, the economics of funding, training, fine tuning, inferencing and optimizations.
SHOW: 749
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Topic 1 - Welcome to the show. You have an interesting background with roots in both VC markets and academia. Tell us a little bit about your background.
Topic 2 - Generative AI is now all the rage. But as more people dig into AI/ML in general, they find out quickly there are a few barriers to entry. Let’s address some of them as you have an extensive history here. The first barrier I believe most people hit is complexity. The tools to ingest data into models and deployment of models has improved but what about the challenges implementing that into production applications? How do folks overcome this first hurdle?
Topic 3 - The next hurdle I think most organizations hit is where to place the models. Where to train them, where to fine tune them and where to run them could be the same or different places. Can you talk a bit about placement of models? Also, as a follow up, how does GPU shortages play into this and can models be fine tuned to work around this?
Topic 4 - Do you see the AI/ML dependence on GPU’s continuing into the future? Will there be an abstraction layer or another technology coming that will allow the industry to move away from GPU’s from more mainstream applications?
Topic 5 - The next barrier but very related to the previous one is cost. There are some very real world tradeoffs between cost and performance when it comes to AI/ML. What cost factors need to be considered besides hardware costs? Data ingestion and data gravity comes to mind as a hidden cost that can add up quickly if not properly considered. Another one is latency. Maybe you arrive at an answer but at a slower rate that is more economical. How do organizations optimize for cost?
Topic 6 - Do most organizations tend to use an “off the shelf model” today? Maybe an open source model that they train with their private data? I would expect this to be the fastest way to production, why build your own model when the difference is in your data? How does data privacy factor into this scenario?
FEEDBACK?
Let’s talk through some of the challenges that Enterprises will have with AI - from data location to GPU location, to model biases, to data privacy to training vs. execution.
SHOW: 748
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ARE THERE EXPECTATIONS OF “OLD AI” vs. “NEW AI”?
WILL ENTERPRISE AI BE DIFFERENT THAN CONSUMER AI?
FEEDBACK?
Yaniv Ben Hemo (@yanivbh1, Founder/CEO at @memphis_Dev) talks about Memphis Cloud, an alternative architecture to delivering streaming data for applications.
SHOW: 747
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what brought you to create Memphis.Dev
Topic 2 - Let’s start at the beginning. Most folks will want to know why a streaming alternative. Isn’t Kafka good enough? What challenges did you personally encounter?
Topic 3 - In reviewing the architecture, it mentions differences between a broker and a streaming stack. Can you elaborate on what that means? What components are typically needed for a proper data streaming solution?
Topic 4 - One of the common issues with Kafka I hear about is operations complexity over time. It isn’t uncommon that the more a system scales, the more complex it is to operate and also maybe the harder it is to get insights and mine for key data for instance. Have you seen this in your experience?
Topic 5 - Let’s talk use cases. How do you envision organizations using Memphis Cloud? What problems are you trying to solve in the market? Is Memphis Cloud a SaaS offering? How would it be implemented in an organization?
Topic 6 - The data management side of all of this to always be problematic. Where and how is the data managed? What does the lifecycle of the data look like and what design considerations went into this aspect?
Topic 7 - When building large distributed streaming systems, I’m sure there are trade offs and optimizations of features to consider. What are you optimizing for and what are the design tradeoffs developers need to consider?
FEEDBACK?
As the competitive cloud landscape is shifting, let’s take a look at some possibilities of what AWS might look like after they cross the chasm.
SHOW: 746
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IF ONLY 10-15% OF APPS ARE IN THE CLOUD, HAVE WE CROSSED THE CHASM?
AWS MOATS AND WHAT MIGHT COME NEXT?
FEEDBACK?
Gaetan Castelein (@gaetcast, VP Marketing at @tectonai) talks about the complexities of building AI models, features and deploying AI into production for real-time applications.
SHOW: 745
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Topic 1 - Welcome to the show. Tell us a little bit about your background
Topic 2 - Let’s start with some terminology. A lot of our listeners might be relatively new to Machine Learning. I’m still coming up to speed and I actually spent more time than usual just wrapping my head around the concepts and terms and piecing them all together. What is a feature? Why is it important? How many features does ChatGPT 3 have or ChatGPT4?
Topic 3 - How is a feature different from a model? Both are needed, why?
Topic 4 - I’ve always wondered exactly what a data scientist does. Is this where the term Feature Engineering comes into play? Who turns the data into features and picks the appropriate model?
Topic 5 - Early Machine Learning was analytical ML (offline/batch), correct? How is that different from operational ML (online/batch) and real-time ML?
Topic 6 - Now that we have all that out of the way. What is a Feature Platform? How does it integrate into an organization’s existing Devops workflows and/or CI/CD pipelines? (Features as Code) How is it different from a Feature Store?
Topic 7 - How do you know if the features + model yield a good result? How is prediction accuracy typically measured?
FEEDBACK?
If every company has become a software company, is it still easy to be a profitable software company? Lots of things are changing around the economics of software.
SHOW: 744
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BEING A SOFTWARE COMPANY - JUST BUILD A MOAT
PEOPLE DON’T LIKE MOATS AROUND THEIR SOFTWARE
FEEDBACK?
Filip Verloy (@filipv, Field CTO at @NonameSecurity) talks about the latest trends in API security, how you could be a victim of a Moveit attack, and more
SHOW: 743
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Topic 1 - Welcome to the show. We’ve worked together in the past at previous companies, it’s great to catch up again. For those out there that don’t know you, tell us a little bit about your background, and how you got involved in API security.
Topic 2 - We keep hearing about APIs and API security but in a roundabout way. We hear on tech news that data has been leaked, customer accounts and info got out. There have been many high profile, well known instances. What often isn’t reported is the way in which the breaches happen. More times than not it is API’s and improper security, correct?
Topic 3 - What are the most common problems you see in organizations? What problems do folks bring you in to solve? Why isn’t a WAF (web application firewall) enough?
Topic 4 - Security, no matter the type, can be a tough sell sometimes. It’s hard to do an ROI on something that hasn’t happened for instance. What are your thoughts on this?
Topic 5 - As a followup, who is the audience that has the budget? CISO’s don’t typically come from a developer background, true?
Topic 6 - What are the typical steps on a journey towards securing APIs. Where do most folks start (assuming nothing, maybe a WAF at best) and how far does it go. Identification, automated remediation, etc.
Topic 7 - It seems every industry is being impacted in some way by AI/ML. How do you see this playing a role in the future of API security?
FEEDBACK?
Does it ever feel like all the technologies are just things layered on top of each other? Does it ever feel like platforms are a combination of Pizza Hut and Taco Bell?
SHOW: 742
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WHEN EVERYTHING IS A PLATFORM, FOR PLATFORM ENGINEERING TEAMS
BE CAREFUL ABOUT CREATING THINGS WITH NO MEANING
FEEDBACK?
Dave Vellante (@dvellante, Cofounder & Co-CEO SiliconANGLE Media, co-host of @theCUBE) gives an update on the status of SuperClouds and talks about the recent SuperCloud 3 event.
SHOW: 741
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Topic 1 - Welcome back to the show. You cover everything, but where are your main focuses these days?
Topic 2 - For anyone that’s new to Cloudcast, or new to this concept of SuperCloud (which has evolved over time), give us the high-level overview of the concept.
Topic 3 - Let’s dive right into SuperCloud, since you just finished the SuperCloud 3 event. What were the big trends within the event?
Topic 4 - The new focus on AI seems to have shown a new light on the location of data, and how well isolated data (and models) are from other companies. How do you see the concept of SuperCloud playing with new AI demands around data locality?
Topic 5 - It seems like nobody is going to be able to afford the CAPEX required to do AI (GPUs) at scale except the big three hyperclouds. They are all going through various levels of economic challenges. Do you expect to see infrastructure becoming an AI bottleneck soon?
Topic 6 - Are you seeing any companies or technologies breaking away from the pack with regard to the SuperCloud capabilities?
Topic 7 - Where are you focusing on the next SuperCloud event and research?
FEEDBACK?
What does the future of the software business look like? How much of an impact will SaaS and AI have on the profitability of software?
SHOW: 740
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SOME VCs ARE QUESTIONING IF SOFTWARE IS A GOOD BUSINESS
WHAT ARE THE EVOLVING DYNAMICS OF THE SOFTWARE BUSINESS?
FEEDBACK?
Dr. Ronen Dar (Co-Founder/ CTO of @runailabs) talks about the challenges of running compute infrastructure for AI, the GPU ecosystem, sizing LLMs and more.
SHOW: 739
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what you focus on at Run:ai.
Topic 2 - Let’s begin by talking about the challenges of running AI applications. What unique characteristics and requirements do AI applications have?
Topic 3 - Most AI applications run on GPUs. How do things change when using GPUs vs. CPUs to power AI applications? What is needed to get the most out of GPUs?
Topic 4 - As environments grow larger, what is needed to scale-up environments, both in terms of scheduling applications and managing the underlying GPU infrastructure?
Topic 5 - GPUs are not only expensive resources, but also in high-demand. How are companies doing capacity planning with GPUs? What struggles are you seeing companies have as they manage planning for AI projects?
Topic 6 - Are the new Large Language Models (LLMs) much different in size than AI models of the past?
Topic 7 - How well is the industry prepared to deal with the new interest in AI from across the industry?
FEEDBACK?
Some recent events in the tech industry have questioned the spirit of open source, the value of contributions, and the standards that various entities should be held to. This is not a new concept, and it’s often complicated.
SHOW: 738
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THE TECH WORLD HAS A STRANGE RELATIONSHIP WITH FREE
FREE IS GOOD RIGHT? WHAT ABOUT WHEN IT’S DEEMED TO BE NOT GOOD?
FEEDBACK?
Addison Huddy (@addisonhuddy, Sr Dir of PM @Confluentinc) talks about the evolution of cloud-based Kafka platforms, and how this might reshape how all OSS software moves into the cloud.
SHOW: 737
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what you focus on at Confluent.
Topic 2 - Let’s start with Confluent Cloud. What happens when you take an open source project and make it a cloud service?
Topic 3 - After many years of learning, Confluent decided to build Kora. Walk us through that design process and the goals of this new 10x Kafka-compatible service.
Topic 4 - As I’m looking through the capabilities of Kora (see below), can you give us a sense of how these compare to the previous Confluent Cloud?
Topic 5 - Kora remains compatible with existing Kafka. How did you go about essentially maintaining the API/protocol while essentially re-writing the entire backend of the system?
Topic 6 - Obviously you can’t speak for other open source projects, but given what Confluent has learned with Kora, do expect to see other companies potentially trying to build cloud-specific versions? (e.g. Kubernetes)
Topic 7 - What sort of feedback do you get from users of the Kora system vs. the previous Confluent Cloud?
FEEDBACK?
Higher interest rates, fragmented platforms, WFH uncertainty, VC funding declines, generational blending and technology shifts are going to force a new level of quality to be demanded by businesses.
SHOW: 736
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“THAT’S A ZERO INTEREST RATE PROBLEM, BRO!”
EXPECTATIONS OF HIGHER QUALITY ARE GOING TO RISE SIGNIFICANTLY
FEEDBACK?
Jonathan Morin (Product Lead @datadoghq) & Jason Manson-Hing (Product Manager) talk about emerging trends in Database monitoring and observability.
SHOW: 735
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what you focus on at Snowflake.
Topic 2 - Let’s talk about database monitoring. There are so many types of databases these days (SQL, Graph, Time-Series, Document, etc.), are the concepts for database monitoring the same across any database, or does the system need specific domain expertise?
Topic 3 - Given the importance of database performance for the overall application experience, do you find that DBAs (or application developers) are thinking about their monitoring strategy earlier in the DB design process?
Topic 4 - What are some of the most common database challenges to monitor and troubleshoot (e.g. root problems, performance)? What are some of the most difficult to troubleshoot (e.g. AlwaysOn Availability groups)?
Topic 5 - How much time and effort is typically spent monitoring/troubleshooting DB problems in real-time vs. looking at historical trends and trying to either troubleshoot issues or predict how things might behave in the future?
Topic 6 - What are some of the things that can be done to find the right balance between resources being dedicated to application-database processing vs. database-monitoring processing?
FEEDBACK?
Just as ChatGPT gave AI a simple user interface, Meta’s new Thread application is going to make it easy to explain app modernization to your management team.
SHOW: 734
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IT’S GETTING OBVIOUS THAT TWITTER IS STRUGGLING AND YOU’D LIKE SOMETHING BETTER
BUT WHAT ALL IS INVOLVED IN MOVING TO A MODERNIZED VERSION OF THE APP?
FEEDBACK?
Brian and Brandon Whichard (@bwhichard, Co-Host @SoftwareDefTalk) talk about the major trends in the 1st half of 2023, plus some predictions for the rest of 2023.
SHOW: 733
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Topic 1 - What are your Top 3 biggest stories/trends so far in 2023?
Topic 2 - What is your take on each of the Big 3 cloud providers in 2023?
Topic 3 - How long do you think this Platform Engineering era will last? Is it the new DevOps, or something else?
Topic 4 - Will this Cloud Cost Management trend just become a normal part of deploying to the public cloud, or become too burdensome and companies will keep apps in their Private Cloud?
Topic 5 - How do you see the current AI hype playing out in the Enterprise? Is it more impactful for developers, or operations, or back-office groups? Anything that you are really interested in yet?
Topic 6 - What has been your biggest surprise of the year, so far in 2023
Topic 7 - Any early predictions about the 2nd half of 2023?
FEEDBACK?
Kelsey Hightower (@kelseyhightower) announced his retirement from Google this week. What comes next is unknown, but let’s take a few moments to appreciate the lessons he passed along to everyone.
SHOW: 732
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THE WORLD IS FULL OF SMART PEOPLE - BUT NOT ALL SMART IDEAS GET COMMUNICATED
HOW DID KELSEY HIGHTOWER MAKE AN IMPACT ON YOUR TECH CAREER?
FEEDBACK?
Jeff Hollan (@jeffhollan, Director of Product @SnowflakeDB) talks about bringing apps to data, how orgs manage AI/ML, and the “enterprise” needs of Generative AI.
SHOW: 731
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what you focus on at Snowflake.
Topic 2 - For those not familiar, give us a high-level overview of the breadth of services that the Snowflake Data Cloud provides?
Topic 3 - Challenges and patterns for orgs making data science / ML “real” in their company
Topic 4 - Evolution of data cloud platforms and emerging pattern of “bringing apps to the data” - the why and the how
Topic 5 - Generative AI / LLMs for enterprise - peeling back the hype, enterprise considerations, tech opportunities.
FEEDBACK?
For most people, you're not always associated with a winning team. But for those moments when you are, it's so important to embrace it, enjoy it, and share it, because it often doesn't last long.
SHOW: 730
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SOME PASSIONS GET INSIDE YOU AT A YOUNG AGE
SOMETIMES YOU WIN, SOMETIMES YOU LOSE, SOMETIMES YOU EXPERIENCE SOMETHING NEW
FEEDBACK?
Adam Jacob (@adamhjk, Founder/CEO of @thesysteminit) talks about the potential for DevOps 2.0. What’s new, what needs to be started from scratch, and the formation of new ecosystems.
SHOW: 729
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Topic 1 - Welcome to the show. Give everyone a quick background.
Topic 2 - Before we dive into the announcements from today, let’s go back in time a little bit. What worked well at Chef, what worked well with DevOps 1.0, and what was broken?
Topic 3 - Let’s talk about your philosophy with DevOps 2.0. What’s new, what needs to be started from scratch, and how do you see the ecosystem potentially forming around this new model?
Topic 4 - Walk us through the new system. Obviously demos and visuals will be available, but paint us a picture or a day (or week/month) with this new model?
Topic 5 - You’ve been working on this for a few years, and we suspect you’re getting feedback from people you trust and potential users. What sort of feedback are you hearing? What didn’t you expect to hear?
Topic 6 - What’s the best way for people to get started?
FEEDBACK?
Developers don’t want to be told “NO” by the Security team. They also don’t want to be responsible for security. Is Shift Left the right or wrong answer?
SHOW: 728
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THANK YOU TO ALL THE DADS OUT THERE ON FATHER’S DAY
WHAT’S THE RIGHT ANSWER TO DEVELOPERS AND SECURITY?
FEEDBACK?
Randall Degges (@rdegges, Head DevRel & Community @snyksec) talks about best practices of how to integrate security into application development environments.
SHOW: 727
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Topic 1 - Welcome to the show. Give everyone a quick background.
Topic 2 - The intersection of development and security has become a hot topic in recent years. How did the issues start and what are the most common vulnerabilities or issues you run into?
Topic 3 - Security can really exist anywhere and we constantly hear about shifting left. When we are talking about developers and security, where in the process and pipelines should people, process and tools get involved?
Topic 4 - I know API security has become quite well known and is a common area, what are other areas developers need to consider? With the rise of AI, how does this impact?
Topic 5 - There is a big difference between discovery and remediation. How should developers address this?
Topic 6 - What is the difference between Snyk Open Source and the company?
Topic 7 - How do you convince both security and development teams to adopt a common platform? Is this a challenge and how do you overcome issues?
FEEDBACK?
'Software companies taste like chicken,' says private-equity mogul. 'They’re selling different products, but 80% of what they do is pretty much the same'
SHOW: 726
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THE MARKET USUALLY ONLY SUPPORTS THREE OPTIONS
OPEN SOURCE AND SAAS HAVE HOLLOWED OUT THE MIDDLE OF SOFTWARE
FEEDBACK?
Jon Toor (CMO @CloudianStorage) talks about the history and evolution of object storage, the rise of enterprise class object storage, and the changing economics of cloud storage.
SHOW: 725
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SHOW NOTES:
Topic 1 - Welcome to the show Jon. Tell us a little bit about your background. Your career and Cloudian parallel in many ways.
Topic 2 - Cloudian has been around since before object storage was cool. We first heard about Cloudian back in the OpenStack and early AWS S3 days. Object storage has come a long way. Can you help everyone frame where we were and where we are today?
Topic 3 - We’ve seen the rise of Enterprise class, S3 compatible object storage for use cases like hybrid cloud, data sovereignty, and more recently analytics such as data lakehouses. Where are you seeing implementations these days as we’ve moved beyond basic, simple storage behind cloud backends.
Topic 4 - With the recent changes to the world economy, how much does economics come into conversations around the design of solutions. There’s often a healthy tension between what is technically possible and what is economically feasible. How does that design conversation play out lately?
Topic 5 - We used to talk about “Data Gravity” all the time. The concept for those unfamiliar is that data has a certain weight and attracts more data to existing sources and becomes hard to move over time. We haven’t talked about it as much in recent years and we are seeing the rise of hybrid and multicloud solutions but folks often don’t think about access to the data. Where are folks building large data sets? What are they using them for? Are they ever moving them?
Topic 6 - Last question, Cloudian is well known for their partnerships, alliances and solutions. You partner with hardware companies, software companies, backup companies, public clouds, etc. It’s quite a mix. Has this been a factor in Cloudian’s longevity and tell everyone a little bit about how this came to be and how important you see this for the future.
FEEDBACK?
They get requested all the time; a technology ROI model. But how do you build one, what does it tell you, and how are they relevant for technology purchases?
SHOW: 724
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WHY ARE MANAGERS ALWAYS ASKING FOR THE ROI?
WHY ISN’T ROI EASIER TO CALCULATE? AND DOES ANYONE CARE LATER ON?
FEEDBACK?
Bridget Kromhout (@bridgetkromhout, Principal PM @Azure) & Ralph Squillace (@ralph_squillace, Principal PM @Azure) talk about DevOps, Public Cloud involvement with OSS communities, CNCF, WASM and OSS Communities.
SHOW: 724
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Topic 1 - Bridget, welcome back! It's been over 7 years since you were last on the show! Ralph, welcome to the show!
Topic 2 - Bridget, let’s talk about your journey. You were involved with Arrested DevOps Podcast & DevOps Days. Your career has changed a bit from the Developer Advocate path into the PM side. Tell us a little bit about that.
Topic 3 - For those that aren’t familiar, tell everyone about OSS @ Azure. How does Azure work with the Linux Foundation and the CNCF?
Topic 4 - Ralph, let’s talk about Web Assembly a bit. How did you get involved? How does Web Assembly fit into the bigger Azure architecture? How does it compare to Azure Functions?
Topic 5 - We last talked about WASM probably in the summer last year. Momentum appears to have picked up dramatically judging by interest at recent KubeCon events. From your perspective, how has the space evolved and changed in the last 12 months?
Topic 6 - How is Web Assembly different from the past promises of PaaS? What are some of the unique capabilities and use-cases that have evolved?
FEEDBACK?
As AI begins to go mainstream in IT, we’re now at the stage where projects will either be AI-enabled or not, creating the new Bi-Modal IT for the 2020s.
SHOW: 722
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EVERY VENDOR NOW HAS A PATH TO AI-INTEGRATED CAPABILITIES
WILL AI-ENABLED CAPABILITIES CHANGE HOW AI PROJECTS ARE MEASURED?
FEEDBACK?
Luca Galante (@luca_cloud, Product @humanitec_com & PlatformCon Organizer) talks about the latest trends in Platform Engineering, what to expect at PlatformCon 2023, and how to get engaged and join the community.
SHOW: 721
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Welcome to the show. Luca, how did you get involved with Platform Engineering and how did PlatformCon come into being?
Topic 2 - Platform Engineering is having its moment. There is a lot being written about Platform Engineering and a lot of customers, companies and vendors are all jumping on board. As someone who was there at the beginning, why do you think this happened? What was the need filled and the main problem solved?
Topic 3 - We often hear about IDP’s (Internal Developer Platforms) associated with Platform Engineering, often as the “product” or outcome. What are your thoughts on this?
Topic 4 - Every “hype cycle” eventually hits the dreaded trough of disillusionment. Momentum moves from excitement (Backstage as an example) into the “getting things done” stage and often complexity gets in the way. Do you see that happening here and how should the community address this?
Topic 5 - Let’s talk about PlatformCon. What is it and what should folks expect? Was 2022 the first year? How did it go? Any lessons learned you are bringing to 2023?
Topic 6 - You’re also heavily involved with the Platform Engineering Slack Community. I think you recently passed over 12k members if I remember correctly. How did that get started and what do you think contributed to such growth in such a short amount of time?
FEEDBACK?
Are some of the flaws of the Cloud-native ecosystem and architectures starting to get exposed? Or is this just the natural evolution of new technologies?
SHOW: 720
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THE CLOUD-NATIVE MOVEMENT WAS BUILD ON A FEW PRINCIPLES
IT’S VERY RARE THAT ANY NEW TECHNOLOGY REPLACES THE PREVIOUS TECHNOLOGY
FEEDBACK?
Sam Clark (Technical Account Manager, @doitint) and Miguel Mendao (CTO @Recognyte) talk about managing the cloud costs of AI services, FinOps implementations, and spinning out new business services.
SHOW: 719
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Topic 1 - Welcome to the show. Tell us a little bit about your backgrounds,
Topic 2 - We’ve spoken several times on the show about tools to control cloud cost management, but we don’t spend much time talking about the process of how companies decide it’s time to make it a focus area. Let’s talk about what thresholds tend to trigger customers to make cost management a focus area.
Topic 3 - Is cost management something that companies can think about ahead of time, or do they usually need to get past the excitement of being able to do things dynamically in the cloud first?
Topic 4 - Do you find that there are unique things in different clouds that customers should focus on around cost management? For example, you spend a lot of time with Google Cloud.
Topic 5 - Can you tell us some more about DoIT Flexsave, and maybe how it differs from some of the other types of cloud cost management tools out there? Are there typical savings that companies might expect to see?
Topic 6 - What are some of the best practices that DoIT uses with customers that are at different stages of cloud cost management, and want to get their bill under control?
FEEDBACK?
Can we take the lessons we learned from our mothers (on Mothers Day), and apply some of those lessons to the known challenges of generative AI?
SHOW: 718
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DON’T FORGET TO CALL YOUR MOTHER, OR SUPPORT YOUR MOTHER
EMBRACE CREATIVITY, AND DON’T BE AFRAID TO PARTNER WITH AN EXPERIENCED
FEEDBACK?
Jason Edelman (@jedelman8, Founder/CTO @networktocode) talks about the challenges of managing complex networks in a world of DevOps and automation.
SHOW: 717
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Topic 1 - Welcome back to the show Jason. Tell us a little bit about your journey with Network to Code, and your focus these days.
Topic 2 - Let’s talk about network automation and how it’s evolved over the years. Give a sense of the scope of complexity that companies are facing these days.
Topic 3 - How has the concept of a CMDB for the network, or Network Source of Truth emerged to provide a more centralized view of all aspects of the network?
Topic 4 - How does the Nautobot framework work? What type of team or skill sets typically build and maintain it?
Topic 5 - What are some of the typical problems that Nautobot is able to solve for companies?
Topic 6 - How does Network to Code engage with companies to get their Nautobot environments running?
FEEDBACK?
AI is at the center of many tech conversations these days. How will it potentially impact the Cloud-native ecosystem now, and into the future?
SHOW: 716
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HOW WILL AI PLAY A ROLE IN CLOUD-NATIVE IT AND DEVELOPMENT?
THERE’S SOMETHING FOR (MOSTLY EVERYBODY). EVERYBODY WILL HAVE A DIFFERENT VIEWPOINT ON THE SHOW.
FEEDBACK?
Leonard Pahlke (@LeonardPahlke, CNCF Ambassador & K8s 1.26 Release Team Lead) talks about the behind the scenes activities of releasing a major open source project.
SHOW: 715
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Topic 1 - Welcome to the show Leonard, this is another in a series on getting involved with the community. How did you get started with the CNCF and Kubernetes?
Topic 2 - What made you get started with the Open Source Software & the CNCF? If you had to recommend a path for someone to get started, would you advise them to follow the same path or a different path?
Topic 3 - It appears you started through the shadow program in Kubernetes 1.23 and worked your way up to Release Team Lead for 1.26. Tell everyone a little bit about the program and your experience. Are you going to do it again?
Topic 4 - I would imagine getting a new version of a large project like Kubernetes out the door is a lot of work and coordination of a lot of people. How did you handle that?
Topic 5 - Not all CNCF projects are as big as Kubernetes. How are the release cycles on smaller projects handled? Less Governance, Less Community Involvement, etc.
Topic 6 - You are the Co-Chair CNCF TAG Environmental Sustainability, tell everyone a little about that and your goals and motivations there.
FEEDBACK?
Steve Buchanan (@buchatech, Principal PM @Azure, Author @Pluralsight) talks about his journey in Kubernetes community, building a personal brand through education and sharing, content creation and maintaining a healthy work life balance
SHOW: 714
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Topic 1 - Today we are going to be talking about careers and Kubernetes. Steve, welcome to the show! You have a super fascinating career journey, can you give everyone a quick introduction?
Topic 2 - I heard you over on the Kubernetes Unpacked podcast. First off, it’s hard to keep up with everything you are doing in the community these days. What is your current focus and passion? Have you reached 20 courses on Pluralsight yet?!
Topic 3 - How do you balance the day job (Program Manager for AKS) and the nights and weekends (PluralSight courses, blogging, podcasts, etc.)? Besides learning and sharing, what benefits are you seeing with this approach?
Topic 4 - I believe your journey parallels our journey here. We started the podcast to learn and give back to the community. Prior to the podcast, blogging was the big thing (we are completely aging ourselves I know) but I think it is safe to say blogging isn’t a primary source today. How would you recommend folks new to the industry get started sharing their journey? Where is the most “bang for your buck” these days?
Topic 5 - Let’s talk about Kubernetes and specifically AKS, what are customers finding new and interesting? What are the leading solutions and integrations you see combined with AKS? How do you create a “stack” in AKS (GitHub Actions, Azure Container Registry, etc.)
FEEDBACK?
KubeConEU 2023 in Amsterdam had over 10,000 attendees. What were the highlights and new trends happening in the CNCF ecosystem?
SHOW: 713
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10,000 ATTENDEES, 58% OF THEM ARE NEW TO CNCF
THERE’S SOMETHING FOR (MOSTLY EVERYBODY). EVERYBODY WILL HAVE A DIFFERENT VIEWPOINT ON THE SHOW.
FEEDBACK?
Shawn Freligh (SVP/GM, Content Lifecycle Automation @UplandSoftware) talks about cloud delivery, AI and Security in managing document workflows and fax integrations.
SHOW: 712
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Topic 1 - Welcome to the show Shawn. Tell us a little bit about your background
Topic 2 - How does technology like fax maintain a foothold in the market? How has fax technology evolved, in other words “survived?
Topic 3 - AI is a big topic in today’s market. Can fax benefit from current trends in AI?
Topic 4 - Security is of course top of mind for everyone – how do you view the security around fax?
Topic 5 - What markets are still reliant on fax technology and why?
Topic 6 - How do fax and digital transformation come together?
FEEDBACK?
How much of an impact has Digital Transformation really had on major markets? How often do unicorns disrupt incumbents? Let’s dig into the data over the last 30 years.
SHOW: 711
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CHANGE COMES SLOW AT FIRST, AND THEN ALL OF A SUDDEN (or does it?)
THE USER EXPERIENCE HAS CHANGED, BUT THE COMPANIES BEHIND IT HAVEN’T AS MUCH
FEEDBACK?
Rob Szumski (@robszumski, Founder/CEO @Edgebitio) talks about the evolution of software supply chains, SBOMs, and managing software dependencies in the age of cloud-native apps.
SHOW: 710
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Topic 1 - Welcome to the show Rob. Tell us a little bit about your background and what led you to start Edgebit.
Topic 2 - SBOM (Software Bill of Materials) has become a big topic, especially around the cloud-native community. Software and security have been around a long time, why the uptick in discussions around SBOM now?
Topic 3 - Let’s walk through the day-in-the-life of a typical team these days. Where are there holes in their current toolset and how are things potentially improving?
Topic 4 - Tell us about Edgebit. Where does Edgebit play a role in the Software Supply Chain?
Topic 5 - Edgebit take a broad view of a company’s software landscape, but a narrow view of action. Less of a boil the ocean approach. How do you find this approach is appreciated by developers vs. security teams?
Topic 6 - What are some of the ways you expect to see the SBOM and Software Supply Chain over the next year?
FEEDBACK?
AI is either having its 15 minutes of fame, or completely reshaping every aspect of technology (and maybe every aspect of life), right now. How is everyone comprehending this shift?
SHOW: 709
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NEW TECHNOLOGY TRENDS USUALLY COME OUT OF DOWNTURNS
HOW TO MAKE SENSE OF NEW + CHAOS + UNCERTAINTY
FEEDBACK?
Jamin Ball (@jaminball, Partner @ Altimeter Capital, author Clouded Judgement) talks about SaaS business models, common SaaS terminology in judging financials, models for multiples, the impact of interest rates, vision vs. product
SHOW: 708
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Topic 1 - Welcome to our guest co-host, Brandon Whichard. Jamin, can you give everyone a quick introduction?
Topic 2 - We’ve been huge fans of the Clouded Judgment Substack since inception in 2020. We regularly reference it during our weekly cloud news and recommend it as required reading for anyone interested in the business side of SaaS. What motivated you to start the substack?
Topic 3 - Can you start with SaaS financial terminology. We hear terms like ARR, customer churn, NTM, EV, LTM, etc. For those new to this, what terms matter the most and why? What picture are you trying to construct about the business from these financial values?
Topic 4 - One of the sections of your newsletter is “multiples”, can you explain what multiples are and why you use Revenue Multiple as a valuation framework? What are the strengths and weaknesses of this framework? What other frameworks could be used?
Topic 5 - Everyone is talking about the rise of interest rates, how do interest rates affect multiples and valuation? Why should we care about this? Why should employees at SaaS companies know about this? SaaS business models were on an up and to the right trend for a number of years but we’ve recently seen some ups and downs. What are your thoughts on the current and future state of SaaS as an industry sector?
Topic 6 - The newsletter is very focused on financial metrics, how do you as an investor balance these metrics vs. product vision? How much revenue does a company need for this to become value? What metrics should an early startup focus on?
FEEDBACK?
Free is great, until it isn’t. Now that the unicorn buffet of VC funding has less cheap money, expect to see more announcements about free stuff no longer being free.
SHOW: 707
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FREE AS IN BEER, FREE AS IN PUPPIES, FREE AS IN LUNCH
BE CAREFUL WHEN YOUR DEPENDENCIES ARE BASED ON SOMEONE ELSE’S COSTS
FEEDBACK?
Gordon Radlein (@maascamp, Engineering Director at @Datadoghq) talks about the evolution of Open Telemetry (OTel), Logging, Metrics and Observability.
SHOW: 706
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Topic 1 - Welcome to the show Gordon. Tell us a bit about your background, and what you’re focused on these days at Datadog?
Topic 2 - Let’s start with some basics - help us connect the dots between Telemetry and Logs and Metrics and Observability. And how does the Open Telemetry (OTel) project fit into the bigger picture?
Topic 3 - Telemetry has always been a tradeoff between how much data to collect and how much data can be processed. How do you see companies using Telemetry today? Does it usually depend on the company size, or the complexity of the application?
Topic 4 - How does Datadog offer Open Telemetry to customers today? Has that evolved over time, as the standard has evolved?
Topic 5 - What are some of the new trends happening around Open Telemetry
Topic 6 - You’ve been around quite a bit of very large-scale infrastructure in your career. What are some of the tips that you’d give anybody trying to build out or scale their observability environments?
FEEDBACK?
The managers vs. workers leverage pendulum is swinging back again. Will management continue investing in IT Skills, or hollow out the IT future?
SHOW: 705
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WHAT HAPPENS AFTER THE GREAT RESIGNATION AND QUIET QUITTING?
HOW TO COMMUNICATE VALUE vs PRODUCTIVITY vs COST SAVINGS
FEEDBACK?
Gleb Budman (@GlebBudman, CEO/Co-Founder of @Backblaze) talks about the evolution of cloud storage, the shift from on-prem to cloud, best practices and the rise of ransomware.
SHOW: 704
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Welcome to the show. You started Backblaze in 2007, just a year after AWS S3 launched. What made you decide to start a storage company when EMC, HP and NetApp dominated with big enterprise boxes, and S3 seemed like a weird new thing for Amazon sellers?
Topic 2 - Over the last couple of years, it feels like there has been a shift in how companies think about “the cloud”. We’re seeing more specialty clouds. How do you see this trend playing out in the market?
Topic 3 - You’ve been through multiple stages of how the cloud has evolved. Where do you see us now in terms of cloud evolution, and what are some of the things you see coming on the horizon?
Topic 4 - Backblaze is well known for disrupting both the cost of cloud storage, but also how storage systems are built. Given today’s economic climate, are you seeing more companies demand more flexibility &/or efficiency on how they store data?
Topic 5 - We continue to see ransomware attacks across all industries. Is this leading companies to rethink their backup and disaster-recovery strategies?
Topic 6 - From a storage perspective, do you see bottlenecks emerging about how this appetite for more and more data will eventually run into problems?
FEEDBACK?
March comes in like a lion, but goes out like a lamb. Let’s explore 3 storylines that might have long-ranging implications for cloud.
SHOW: 703
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THERE’S A LOT TO KEEP UP WITH RIGHT NOW
LEVERAGE, INTEREST RATES, RISK, TIMELINES, COMMUNICATIONS and PANICS
FEEDBACK?
Martina Iglesias Fernández (@martina_if, CTO) & David Tuite (@dtuite, CEO of @Roadiehq) talk about the rise of Internal Developer Portals, the problems they solve, the creation of Backstage and IDP’s as a SaaS service.
SHOW: 702
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Topic 1 - David & Martina, Welcome to the show. Please give everyone a brief introduction and how you got started with Backstage and internal development portals.
Topic 2 - Backstage was spun out of Spotify and is now a CNCF project. What problems were developers seeing and what is the origin story of Backstage?
Topic 3 - What were the immediate and long term advantages of consolidating the development experience on the Backstage platform?
Topic 4 - There is always a healthy tension with development platforms. How do you balance between setting standards to consolidate and providing freedom of choice?
Topic 5 - One of the common takeaways we have seen recently is that the IDP is the output product of Platform Engineering. Do you agree with this statement and what has your experience shown? Is this more about a set of common standards and automation or about a “product” such as an IDP.
Topic 6 - Why does an IDP succeed or fail?
Topic 7- Backstage doesn’t have a reputation of being the easiest to configure or operate. Is this where Backstage as a service comes in? What are the advantages and disadvantages to Backstage as a Service?
FEEDBACK?
This past week, Silicon Valley Bank (SVB) was closed by banking regulators. Let’s understand the basics of how this happened and why it matters to the tech industry.
SHOW: 701
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SHOW NOTES:
HOW CAN A BANK WITH SO MUCH MONEY SHUT DOWN?
LEVERAGE, INTEREST RATES, RISK, TIMELINES, COMMUNICATIONS and PANICS
FEEDBACK?
James Governor (@monkchips, Co-Founder @Redmonk) talks about Developer experience in 2023. Topics include trends, platforms, languages and culture.
SHOW: 700
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Topic 1 - Welcome back to the show. You are a rockstar in the developer world, and maybe unknown in the infrastructure world. Tell us a little bit about your background.
Topic 2 - [Developers as a Whole] In 2023, do you think about developers any differently than you did in 2018 or 2021? Do you think about developers in terms of things they get done, or the types of work they do (front-end, back-end, mobile, data-science, etc.), or something else?
Topic 3 - [Trends] What are the big developer-centric trends that you are tracking or really have your interest? AI? Hosting services? Database services? WASM?
Topic 4 - [Platforms] Will we ever find that PaaS pot-of-golf at the end of the rainbow, or is the dream of platforms just a unicorn? Or do we have to realize that successful platforms are all micro-platforms?
Topic 5 - [Languages] Redmonk famously tracks development languages every six months. It feels like there are only two trends - what stays the same, and the language that is the new hotness. Do languages really matter?
Topic 6 - [Culture] Lots of people talk about changing a company’s culture to better serve the needs of developers. Do you have any examples of where that has worked, or best practices?
FEEDBACK?
It’s now been 3 years since the world was disrupted by COVID-19. How has the tech industry been impacted, changed, and altered?
SHOW: 699
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GOOD PREDICTIONS, BAD PREDICTIONS, AND MISSED OPPORTUNITIES
GOOD HABITS, BAD HABITS, AND LESSONS LEARNED
FEEDBACK?
Zachary Smith (@zsmithnyc, Head of Edge Infrastructure @Equinix) talks about Edge Computing, the evolution of CoLocation, Cloud Interconnects and Emerging Trends.
SHOW: 698
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Topic 1 - Welcome to the show. Tell us a little bit of your background, and where you focus your efforts at Equinix?
Topic 2 - Equinix is in a very interesting position in the market, because you have visibility to so many different trends - cloud interconnects, edge computing, application migrations, etc. As we move into 2023, what are some of the trends that you’re keeping an eye on?
Topic 3 - You focus on Edge computing. It seems like a very fragmented market (many definitions, many use-cases, many business models). How do you think about the breadth of Edge?
Topic 4 - What are some of the trends you’re seeing from the big cloud providers, and how does it impact different size businesses?
Topic 5 - You also have a focus on bare metal computing. Is that still primarily a performance-centric play in the market, or are there new trends happening that expand what bare metal can be a part of?
Topic 6 - Going forward, what role do you see the global Co-Location providers planning in Cloud, or Edge, or other major trends over the next 5+ years?
FEEDBACK?
The economics of the Internet are changing as the foundational ad-driven model is being disrupted. How will this impact the cost of things we’ve long enjoyed for free on the Internet?
SHOW: 697
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THE EVOLUTION OF HOW THE INTERNET WAS PAID FOR
THE DISRUPTION OF THE AD-CENTRIC INTERNET AND ITS IMPACTS
FEEDBACK?
Michael Isbitski (@michaelisbitski, Director Cybersecurity Strategy @sysdig) talks about about Sysdig's 2023 Cloud Native Security and Usage Report. The latest trends, interesting findings and the latest on Cloud Native Security
SHOW: 696
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Topic 1 - Welcome to the show. Tell us a little bit of your background, and where you focus your efforts at Sysdig?
Topic 2 - Let’s talk about the 2023 report. This is something that Sysdig has run for many years. What are some of the major Container Security and Usage trends you’re seeing this year (2022 to 2023)?
Topic 3 - It seems like preparedness for attacks, via vulnerabilities, is on the rise? Why do you think we’re seeing things getting worse, rather than better?
Topic 4 - Talk to us about some of the best practices for managing all the vulnerabilities, and how to think about prioritization - such as Common Vulnerability Scoring System (CVSS).
Topic 5 - It appears that Zero Trust is a big buzzword, but maybe companies have zero trust in zero trust. Did this surprise you? What do you think is causing this?
Topic 6 - What are some of the operational best practices that you’re seeing companies doing to help mitigate these ever growing security threats?
FEEDBACK?
Public cloud usage. Cloud-native application development. Developer relations. In a down economy, everything gets questioned. Expect a lot of naysayers and doubters.
SHOW: 695
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THE CURVE IS BENDING DOWN, SO QUESTION EVERYTHING
THE DIFFERENCE BETWEEN EARLY ADOPTERS AND MAINSTREAM
FEEDBACK?
Kyle Weller (@KyleJWeller, Head of Product @onehousehq) talks about the latest trends in OSS Data Lakes, Data Warehouses, and the evolution to “Data Lakehouses” with Apache Hudi
SHOW: 694
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Topic 1 - Welcome to the show. Tell us a little bit of your background, and where you focus your efforts at Onehouse?
Topic 2 - Your focus is on an emerging open source project, Apache Hudi. Before we dive into the project and technologies, we’re always interested in the background of what drove the creation of new projects. What problems existed before Hudi?
Topic 3 - Let’s dive into Hudi. Data lakes, Delta Lakes, Lake houses, Icebergs. What is going on with all these water metaphors?
Topic 4 - Hudi is focused on streaming data lakes. What are some of the things (types of applications) that need a streaming data lake? Where do transactions come into play? Where do data warehouse capabilities come into play?
Topic 5 - Stitching together open source projects and platforms can be complicated. How does the Onehouse platform simplify all of this for either data scientists or platform teams?
Topic 6 - What are some examples of how companies are using Onehouse and Hudi today?
FEEDBACK?
Now that AWS, Azure, GCP earnings are slowing down across the board, let’s look at what this could mean in the near-term and long-term.
SHOW: 693
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
THE GROWTH OF CLOUD PROVIDERS IS BEGINNING TO SLOW DOWN
WHAT’S CAUSING THE SLOW DOWN?
FEEDBACK?
Josh Patterson (@datametrician, Co-Founder & CEO @VoltronData) talks about the concept of composable data analytics and how it benefits our industry. What is it, why should be using it, and how to get started.
SHOW: 694
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Topic 1 - Hello Josh and welcome to the show. You have a very diverse and interesting background. Can you give everyone a quick introduction? As a follow up, tell everyone a little bit about your experience as Presidential Innovation Fellow.
Topic 2 - Before we dig into Voltron Data, we need to tell everyone about Apache Arrow. Business and organizations tend to be overwhelmed by big data. Everything from the volume, to the tools, to the lack of data scientists and practitioners. Can you give everyone an overview of Arrow, how it came to be, what problem does it solve?
Topic 3 - Arrow has companies like Snowflake, NetFlix, Meta, Databricks, Google and Microsoft all adopting it. Our listeners will be more familiar with Snowflake & Databricks and their business models, what makes Voltron Data different? How are you building a company on top of OSS?
Topic 4 - Let’s talk about communities and standards. I’ve seen various numbers on Arrow and monthly downloads, always in the tens of millions per month. Your focus appears to be providing services for Arrow and other Apache projects to simplify open source for those that don’t have the skills or time, while also working towards the goal of community standards. Is that correct?
Topic 5 - How will open source standards for data help the data analytics industry move faster? Is this a process problem? A data set problem? A tools problem?
Topic 6 - Data Analytics has a reputation for a high barrier to entry. If our listeners are interested, how can they get started?
FEEDBACK?
The tech industry is going through an employment level downturn at the moment, so what should you do? What shouldn’t you do?
SHOW: 691
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
LAYOFFS ARE NEVER FUN, AND THEY HAVE RIPPLE EFFECTS
HOW TO NAVIGATE A LAYOFF, OR BEING AROUND AFTER A LAYOFF
FEEDBACK?
Chris Aniszczyk (@cra, CTO of @CloudNativeFdn) talks about the evolution of CNCF projects, major cloud-native trends, and managing the intersection of projects, users and vendors.
SHOW: 690
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Welcome to the show. Tell us a little bit of your background, and what does a CTO of a foundation like the CNCF do?
Topic 2 - What does the CNCF do these days, and what should various stakeholders, partners and consumers of CNCF “things” (projects, events, training, etc.) expect from the CNCF?
Topic 3 - The CNCF has a number of ways to represent technologies under its governance - Landscape, Technology Radar, etc. As the CTO, how do you think about all the different ways there are to solve problems using CNCF technologies?
Topic 4 - How much do you worry about the economy slowing down, in the sense of it impacting VC funding for companies that might be at the core of projects (especially new projects). Does the CNCF need a certain amount of volume of projects to provide value, or are you mostly focused on doing good governance to the projects in front of you?
Topic 5 - As the CTO of the CNCF, do you feel like there are “core” projects that need more of your attention because of how many other projects have dependencies? Or are there key concepts that you try to infuse into projects, knowing how interconnected they become?
Topic 6 - Every technologist has their areas of interest. You recently did a post on your predictions for 2023 that everyone should check out. What are some of yours as you look out at 2023?
Topic 7 - What are some of the new things that the CNCF is working on this year?
FEEDBACK?
While we all live in a world of constantly emerging and evolving technologies, sometimes new technologies are so different from the past that they are just difficult to explain the first time.
SHOW: 689
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LETS CONNECT THE DOTS BETWEEN THE EXPERIENCE OF TWO NEW TECHNOLOGIES
HOW TO EXPLAIN NEW THINGS TO PEOPLE WITHOUT EXPERIENCE
FEEDBACK?
Matt Ray (@mattray, Senior Community Manager for OpenCost) talks about the evolution of FinOps, alignment between Eng and Finance, and FinOps best practices.
SHOW: 688
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and where you focus on Cloud Cost Management today.
Topic 2 - The cloud has been around for more than a decade. Why does it seem like Cloud Cost Management has suddenly become such a big topic of discussion over the last couple years - is it mostly the pandemic and economy (interest rates), or more driven by end-user behaviors….or both?
Topic 3 - What do best practices for Cost Management look like today? It is mostly about having the right monitoring tools, or is it how groups are organized, or something else?
Topic 4 - How in the world can any finance person understand the nuances of all the services that are available in the cloud, and how they might impact both architecture and ultimately the bill? Who needs to be educating them?
Topic 5 - How do most companies engage around cost management? Does it start with cost management tools and then bring in consultants (e.g. Corey Quinn) if they can’t figure things out? Or is it the CFO getting heavy-handed and setting strict policies?
Topic 6 - Let’s talk about OpenCost.
Topic 7 - Given all the variables involved, can you be useful in the cloud cost management space if they don’t have a strong background in building applications or architecture?
Topic 8 - What are some of the areas of cloud cost management that are most interesting to you today?
FEEDBACK?
Does any technology make sense if the organization surrounding it is misaligned? Let’s look at some examples of the right and wrong ways to align the technology organization with business results.
SHOW: 687
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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GREAT SLIDES AND DEMOS DON’T ALWAYS WORK IN THE REAL WORLD
THINGS THAT WORK AND THINGS THAT OFTEN BREAK
FEEDBACK?
Aneel Lakhani (@aneel, Investor, @crane_vc Crane Venture Partners) talks about life as a VC, upcoming trends to look out for, and what to expect with rising interest rates in 2023.
SHOW: 686
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
Topic 1 - Welcome back. You’re almost in the 5 timers club at this point and a returning guest from our look ahead shows in 2022. For our new listeners, tell everyone a little bit about yourself
Topic 2 - We covered a lot of VC basics in last year's show, link above for those that missed it. We still get a lot of questions around VC funding and VC’s in general. What’s the elevator pitch version of what you do day to day as a VC? Also, how is Crane different from say some of the traditional Sand Hill Road VC’s
Topic 3 - Since we spoke last year, what’s changed? What market patterns have you noticed? Have investment and “exit” strategies changed?
Topic 4 - Investment advisors always tell clients to take a long view of markets, because their horizon for things like retirement or college savings, are long term. Do VCs tend to take round–to-round viewpoints of customers, or longer-term (like 5-7yrs) of their investments?
Topic 5 - Last year we talked about the cost of investments (expectations of valuations) being high (cheap money, lots of competition). Given the changes in the economy, do you expect that we’ll see big changes in investments, valuations, etc..?
Topic 6 - At a macro level, what is interesting to you in 2023? What are you researching these days?
FEEDBACK?
VMware was one of the great IT successes, but their journey from start-up to behemoth was fraught with decisions that led to the Broadcom acquisition. How did they get here?
SHOW: 685
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
HOW MUCH VMWARE COULD CONTROL MAKE NEVER TRULY BE KNOWN
HOW TO FOCUS ON CHANGES, ADDITIONS, AND SUBTRACTIONS
FEEDBACK?
Sam Charrington (@samcharrington, host @twimlai podcast) talks about the evolution of AI & ML in 2023, and the possibilities of ChatGPT.
SHOW: 684
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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Topic 1 - Hi Sam. Welcome back to the show. Before we get into today’s discussions, tell us a little bit about the breadth of things you’re doing over at TWIMLAI and how people can get involved?
Topic 2 - Let’s start with the recent headlines - Stable Diffusion and ChatGPT. For those of us that aren’t around this everyday, it feels like some big leaps in useability. Did we see a big jump in AI at the end of 2022, or was this just good UI design, or something else?
Topic 3 - ChatGPT - Give us the basics, and then what are some of the more interesting things you’re hearing people start to talk about with technology like this.
Topic 4 - The last time you were on, we talked about how “the goal posts tend to shift” about what we think of as powerful AI. Do you see any areas of AI getting close to becoming a big shift in terms of ease-of-use, or being hidden/embedded in other technologies?
Topic 5 - There are various reports about GPUs being harder to get these days. There is also speculation that the cost of AI processing has been going up. What are you seeing in terms of cost of processing vs. useful outcomes lately?
Topic 6 - What’s the “getting started” curve look like for companies that want/need to add or integrate AI & ML into their applications? What’s the barrier to entry and has it changed in the last few years? What are some numbers you hear about cost of engineers, sizes of datasets, number of experiments and models needed to run, etc.?
Topic 7 - What are some of the things you’re really looking forward to in 2023, whether it’s technology or trends or something else?
FEEDBACK?
The evolution of Microsoft under Satya Nadella provides a blueprint for how to transition companies from one focus to another.
SHOW: 683
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HOW MICROSOFT EVOLVED FROM A CLOSED SW COMPANY TO CLOUD COMPANY
HOW TO FOCUS ON CHANGES, ADDITIONS, AND SUBTRACTIONS
FEEDBACK?
Rob Hirschfeld (@zehicle Founder & CEO @rackngo) talks about how Platform Engineering has evolved from DevOps and SRE and how it aligns to Cloud Platforms.
SHOW: 682
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
Topic 1 - Welcome back to the show, it was great to see you in person at events recently. What have you been focusing on the last couple of years?
Topic 2 - There’s been a lot of discussion about Platform Engineering over the last 6+ months. You’ve been around this space for a while. We’re trying to understand if PE is different from DevOps or SRE or Cloud Platform in the past, or an evolution. Is PE just a common platform maintained with reusable tools, regardless of the infrastructure?
Topic 3 - I’ve heard people say that Cloud Platform and Platform Engineering are colleagues. where one owns/operates the platform, and the other is the “product manager” to the application teams. Is this realistic?
Topic 4 - What does “good” look like for Platform Engineering? Is the goal a frictionless developer experience? Are developer consistency and efficiency valid goals? Are there KPIs or Metrics that “good” teams are striving towards?
Topic 5 - Any interesting technologies that you’re seeing that make Platform Engineering easier, or more manageable?
Topic 6 - Any team dynamics that you’re seeing that make Platform Engineering easier, or more manageable?
FEEDBACK?
You asked, we answered. A year-end mailbag of the best of the questions we received from our community in 2022.
SHOW: 681
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Q1: The cloud has created a lot of big shifts over the last 10 years. Are there any “big winners” over the last 10 years that you see being disrupted anytime soon?
Q2: Why do you think so many people got crypto/Web3 wrong in 2022?
Q3: Why don’t you guys cover more about application modernizations and migrations? Isn’t that a huge part of IT groups portfolio and budgets?
Q4: Has the shift to wide-spread remote work been a good thing or a bad thing?
Q5: What advice would you give to someone in their 20s, 30s or 40s that would help them for the next 5yrs or 10yrs?
Q6: These economic shifts are freaking me out a little bit. How should I think about them?
Q7: I got to thinking about some of the new AI news (OpenAI, ChatGPT, etc.) that’s been coming out and it seems like a big deal. Will it be as big as it potentially seems?
Q8; Why do you think Andy Jassy took the Amazon CEO job, which seems like a lot of headaches, when the AWS job was going so well?
Q9: What do you wish you had done with your careers, assuming you could go back and change something(s)?
Q10: What are you thankful for this year?
FEEDBACK?
Last Sunday Perspective of the year, so let’s look at how we put together the perspectives, and why it can be a valuable framework for evaluation and decision-making.
SHOW: 680
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HOW TO CREATE A PERSPECTIVE
CAN YOU USE THE SUNDAY PERSPECTIVE FRAMEWORK FOR WORK DECISIONS?
FEEDBACK?
Aaron and Brian discuss the 2022 Year in Review, highlighting the biggest trends, as well as making 2023 predictions.
SHOW: 679
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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THE BASICS:
THE BIG NEWS AREAS:
2023 PREDICTIONS:
Aaron’s Predictions:
Brian’s Predictions:
FEEDBACK?
Let’s look at the differences between when technology is in a boom-cycle vs. a bust-cycle, and what happens as things transition between cycles.
SHOW: 678
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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HOW CAN WE TELL WHAT CYCLE WE’RE IN?
THE GOOD TIMES, THE UNCERTAIN TIMES, AND THE BAD TIMES
FEEDBACK?
Bryan Thompson (VP Product Management of @HPE_GreenLake Cloud Services) talks about managing private and hybrid cloud services and bringing the Cloud to data.
SHOW: 677
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Topic 1 - Welcome to the show. Let’s talk about your background, and what you focus on at HPE.
Topic 2 - HPE is one of the most iconic brands in all of computing history. A lot has evolved over the years. Where does Hewlett Packard Enterprise (HPE) fit into the picture with HP, and what is the HPE focus these days?
Topic 3 - For the last 10 years, we’ve seen a huge growth in the usage of public cloud, but we also heard many industry leaders claim that we’re still only around 10% in public cloud. That means we have behavioral expectations changing (on-demand, scalable, etc.) but not necessarily actions changing. How does HPE view their role in the evolution and intersection of IT and the Cloud?
Topic 4 - Give us an overview of HPE GreenLake, both in terms of technology and delivery/operations.
Topic 5 - HPE GreenLake has a “bring the Cloud to IT” approach. What does that mean in terms of evolving that 90% that hasn’t moved to the cloud yet? And will they ever move to the cloud?
Topic 6 - What surprises people the most when they start to understand what’s possible with HPE GreenLake that wasn’t there a few years ago?
FEEDBACK?
Looking at the Battery Ventures “State of OpenCloud 2022” for trends that will impact 2023.
SHOW: 676
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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HOW DO THE VCs LOOK AT THE STATE OF THE OPEN CLOUD MARKET?
HOW CAN THAT INFLUENCE WHAT 2023 MIGHT LOOK LIKE?
FEEDBACK?
Let’s look at the NEW announcements from AWS re:Invent. Not as many as usual, but some interesting new focus areas for AppDev, AppNet, and Security.
SHOW: 675
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SHOW NOTES:
~130 new announcements (features, services, partner-related capabilities)
< 10 brand new services
FEEDBACK?
AWS re:Invent is the largest Cloud conference of the year, and it was back after a downturn from the COVID pandemic. What was the vibe in Las Vegas in 2022?
SHOW: 674
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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WHAT WAS THE VIBE FROM AWS IN YEAR 2 OF ADAM SELIPSKY?
WHAT WAS THE VIBE FROM ATTENDEES AND PARTNERS/VENDORS?
FEEDBACK?
Edo Liberty (@edoliberty, Founder/CEO @Pinecone) talks about vector databases and building applications that leverage data in new and unique ways.
SHOW: 673
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Topic 1 - Welcome to the show. Let’s talk about your background, and what led you to found Pinecone.
Topic 2 - Let’s talk about trends in search. Beyond what we all experience with Google Search, how is more advanced search impacting applications and user-experiences?
Topic 3 - What is involved in building a modern search platform or application, in terms of data ingestion and indexing, scaling the platform, and day-to-day operations?
Topic 4 - How does Pinecone help search application builders? Where does the Pinecone platform stop and the application start?
Topic 5 - How do the AI models in Pinecone help the application builders?
Topic 6 - What are some examples of how vector search is helping companies today?
FEEDBACK?
It’s that time of year when we step back and consider the important things for which we are thankful.
SHOW: 672
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SHOW NOTES:
BE THANKFUL ALL THE TIME, BUT BE THOUGHTFUL IN YOUR THANKFULNESS
BE THANKFUL FOR SOMETHING THAT MAKES YOU LAUGH, THINK and GET ALONG
FEEDBACK?
Andrew Davidson (SVP Products, @MongoDB) talks about MongoDB's evolution from a software company to a cloud services company (MongoDB Atlas), how developers traditionally interacted with databases, and the need for Developer Data Platforms going forward.
SHOW: 671
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Topic 1 - Welcome to the show. Let’s talk about your background, and what you focus on at MongoDB.
Topic 2 - Data is a weird beast. It’s cheap to create, it’s expensive to move, and it’s complicated to use because there’s so many ways to interact with it depending on the use-case. So for someone that thinks about data a lot, how do you frame up the challenges of how applications interact with data?
Topic 3 - People tend to think about MongoDB as a database company, and then a Cloud database company. What did the company learn as it moved to the cloud, as a lot of barriers for developers got knocked down in that transition?
Topic 4 - As a developer today, do I still need to think about the relationship between the underlying data and the database access model needed to make that useful to an application, or are any of those lines blurring or going away?
Topic 5 - Databases have traditionally followed the CAP theorem, and different choices have different strengths and tradeoffs. As you start to think about this concept of developer data platform, how do you try and reframe those tradeoffs? Do any of them go away?
Topic 6 - What are some examples of how companies and their developers are able to think differently about how their new applications can be built with this new platform approach to data?
FEEDBACK?
Kin Lane (@kinlane, Founder API Evangelist & Chief Evangelist @Postman) talks about getting started with APIs. We also cover API lifecycle & governance.
SHOW: 670
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Topic 1 - Kin, for those out there that maybe haven’t heard of you, give everyone a brief introduction.
Topic 2 - You’ve been doing APIs since before APIs were cool. You started the API evangelist site 12 years ago. Tell us about that journey. As a follow up, how do new folks get started?
Topic 3 - As you mention on the API Evangelist website. APIs are more than technology. The headline of the website is “making sense of the technology, business, and politics of APIs since 2010. What do you mean by that? How does business and politics come into play with APIs.
Topic 4 - We often hear the phrases Cloud First and API First thrown around. What does that mean? Also, help everyone out with terminology differences between say Open API, GraphQL, etc.
Topic 5 - Follow up to API First question. Let’s talk about API First companies, we often hear about the poster children: Twilio, Stripe, and SendGrid for instance. Are they still valid examples? Who are the latest examples and use cases?
Topic 6 - Let’s talk about API Lifecycles and dig into Postman a bit. We’ve reached a point in our industry that APIs are treated like a product, have PM and full development teams, and just like any product or service a company would produce. What are the typical steps you see and how does Postman help with this journey?
Topic 7 - You are active in API research, publishing of articles and research around APIs. I noticed you have been digging into Government APIs recently for instance. Where is your focus these days and what are the latest emerging trends you are seeing?
FEEDBACK?
Kayla Taylor (Sr. Product Manager @datadoghq) talks about taking control of cloud costs and managing costs along with observability and troubleshooting.
SHOW: 669
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Topic 1 - Welcome to the show. Let’s talk about your background, and what you focus on at Datadog.
Topic 2 - Cloud cost management has become a very active focus area since the economy has been slowing down. How are you seeing customers, or engineering teams thinking about cost differently than before?
Topic 3 - Since Datadog provides so much visibility into active applications (APM, Observability, Troubleshooting), do you take a similar approach to Cost Management?
Topic 4 - Accountants understand costs, but not technology. Engineers understand technology, but do you find that they understand costs? How do you help them conceptualize costs and be able to make changes that impact their applications?
Topic 5 - What are some of the unique things that Datadog does with the new Cloud Cost Management offering? How does it tie into the other aspects of Datadog?
Topic 6 - The service is new, but what are some of the surprising things you’ve observed about how companies are using this insight into their cloud costs?
FEEDBACK?
Twitter is going through some things. For the life of The Cloudcast, it’s been our ERP, CRM, Collaboration and PR engine. What if it goes away? Are there lessons to be learned?
SHOW: 668
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SHOW NOTES:
IT’S CRAZY NOW, BUT IT’S ALWAYS BEEN SORT OF CRAZY….AND USEFUL
DEPENDENCE ON TWITTER IS MORE COMPLEX THAN A SINGLE CLOUD
FEEDBACK?
Marko Anastasov (@markoa, Co-Founder Semaphore CI) talks about how to manage the evolution of monoliths to microservices using modern CI/CD.
SHOW: 667
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Topic 1 - Marko, let’s start with a quick introduction. How did you get involved with SemaphoreCI?
Topic 2 - You have been working on CI/CD for 10+ years. Many listeners are familiar with the concepts of CI and CD but what brought you into the space and what are the primary benefits you see in clients you work with?
Topic 3 - We hear success stories from organizations that are doing hundreds to thousands of deployments a day (Netflix, Twitter, etc.). Many didn’t start out that way. Some didn’t even start with microservices, but started with monoliths and moved to microservices as they outgrew a monolithic architecture. Is this common?
Topic 4 - What are the tradeoffs between monoliths and microservices? Also, does the concept of a greenfield deployment vs. a brownfield deployment factor into the decision? Where does an organization start?
Topic 5 - What are the guidelines to building a successful microservices strategy? Where do you even start to split up a monolith? Is it a line of business function, technical boundary in the application, keeping the size of the development team small?
Topic 6 - In the journey to microservices, what are the first advantages seen? What are the first pitfalls encountered?
Topic 7 - Developers just want to go fast and automate all the things. Once a microservices strategy is built, my next thought goes to governance, compliance, security & cost. All items that keep developers from going fast. Doesn’t “shifting left” come at a price?
FEEDBACK?
Many people are asking about the future of KubeCon now that Kubernetes isn’t the central focus. How does it evolve? Is it like re:Invent or VMworld or something else?
SHOW: 666
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WHAT’S THE FUTURE OF KUBECON / CLOUDNATIVECON
KubeCon feels like it’s at a cross-roads now that Kubernetes is not the central focus of the event. So where does it go from here?
WHAT HAPPENS WHEN THERE ISN’T A CENTRAL FOCUS?
FEEDBACK?
Aaron and Brian talk about all things KubeConNA (Detroit) 2022.
SHOW: 665
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SHOW NOTES:
Topic 1 - Let’s start with what was good or bad at CloudNativeCon/KubeCon. Overall vibes at the conference?
Topic 2 - Interesting technologies or technology trends?
Topic 3 - Are we in a bubble? Lots of companies in each technology category? Will we see consolidation, failures or buyers?
Topic 4 - What’s next for KubeCon?
FEEDBACK?
What is the new intersection between open-source communities, vendors and VCs? Is it changing? Should we be concerned about the future of open source?
SHOW: 664
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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OPEN SOURCE ISN'T THE SAME AS 20 YEARS AGO
Open source is the new default for innovation, and many companies have made it their default. But do they think about open source and technology differently now?
IT'S THE DEFAULT, BUT THE USAGE EXPECTATIONS HAVE EVOLVED TOO
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Nick Durkin, Field CTO & VP of Engineering at Harness talk about how the journey to success for cloud-native often runs through CI/CD fundamentals.
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Topic 1 - Nick, let’s start with a quick introduction.
Topic 2 - Let’s dig into CI/CD pipelines a bit. Some like to treat CI different from CD, others say they must be combined. When you talk to customers about deployment strategies and patterns, how do you approach this? Where does GitOps fit into the conversation?
Topic 3 - We hear success stories all the time about top performing organizations that do hundreds to thousands of deployments to production a day. Is this a realistic expectation for the average organization? If they want to improve, where do they start?
Topic 4 - For organizations that are just beginning the journey, how do you convince internal teams to embrace automation and build confidence over time?
Topic 4.5 - Once confidence is built internally, my next thought goes to governance, compliance, & cost? All items that keep developers from going fast. Doesn’t “shifting left” come at a price and builds tension?
Topic 5 - Where does security fit into all of this as automation increases? What other design considerations should be taken into consideration creating pipelines? What are the common mistakes you see?
Topic 6 - How does AI and ML fit into the present and future for CI/CD?
FEEDBACK?
Let’s take a look at the evolution of “SuperCloud”, and if it’s a trend, an architecture, an application model, or something else all together.
SHOW: 662
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NAMING IS IMPORTANT, BUT SOMETIMES NEW CONCEPTS ARE HARD TO NAME
When something new comes along, do we spend more time talking about the name or the value of the new concept? Does anyone remember “Serverless”?
WHAT IS SUPERCLOUD, AND WHY MIGHT IT BE IMPORTANT
FEEDBACK?
Benjamin Wilms (@MrBWilms, co-founder/CEO of @Steadybit) talks about the importance of resilience for SREs, DevOps, and developers through chaos engineering platforms
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Topic 1 - Benjamin, give everyone a quick introduction.
Topic 2 - Let’s start with the concept of chaos engineering. In its simplest form, chaos engineering intentionally takes down parts of a test or production environment (typically after software has shipped) randomly so teams, typically SRE’s/ops/dev, are forced to make the applications more resilient over time. It’s not a matter of if systems will go down, it’s a matter of when. This makes the systems better over time. Benjamin, you have a consulting background in this area that ultimately led to founding Steadybit. What were the limitations to this approach?
Topic 3 - What you’re talking about is a more proactive approach to downtime. I’ll call this resilience engineering and it requires a shift in mindset in an organization. How do you get developers onboard to embrace the need? Are we asking developers to share responsibility for outages with the SRE organization?
Topic 4 - On the surface, the obvious benefit is reduced downtime. That can be hard to quantify in business value. Outages can be measured, a lack of outages is harder to quantify. Does this become an issue in convincing an organization to embrace this methodology?
Topic 5 - When you say we are going to move chaos engineering into the CI/CD pipeline, what does that mean? Is this code that is added? Testing simulations that have to be passed? Real time failures of databases or nodes or simulated? What are the common use cases?
FEEDBACK?
Technical Debt has a branding problem, and in a shifting economy, it becomes increasingly important to have a focus on projects that drive positive ROI.
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WE GLAMORIZE INNOVATION BECAUSE ROI IS HARD TO MEASURE
There is an outward perspective that everyone wants to work on something new, because it gets a lot of attention. But there are plenty of opportunities to focus on foundational, stabilizing capabilities.
SOMETIMES GROWTH COMES FROM BEING EFFICIENT
FEEDBACK?
Michael Cade (@michaelcade1) talks about learning in public and his creation of "90 Days of DevOps" to enable others by teaching the process and principles of DevOps from the ground up.
SHOW: 659
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Topic 1 - We’ve known each other for a long time. For those out there not familiar, give us a quick introduction.
Topic 2 - Before we dig into the 90 Days of DevOps project, tell everyone about your career journey at Veeam and now Kasten. You’ve made the transition from infrastructure technologist to DevOps and cloud native technologies. How did that come about?
Topic 3 - You started the project on Jan 1, 2022. Did you have this all mapped out before you started or did you create the content and topics as you went along?
Topic 4 - Tell everyone a little bit about what they can learn if they complete the program. What made you choose these topics? What I like best about the program is the wide variety of topics. Everything from conceptual items (OSI model) to hands on with Terraform, Kubernetes, Jenkins, etc.
Topic 5 - What stuck out to you going through the process? What was most impactful to you in the journey? I remember following along from a far on Twitter while you were doing this. You struck a nerve in the community somewhere along the way (18k stars on GitHub). When did you think this might get bigger than you anticipated?
Topic 6 - What’s next? Do you have plans to continue the project or create another project? What are folks out there asking for? Anything you would change in the current program?
FEEDBACK?
It’s important to remember not to “equate fun with money”, especially when you have to do repetitive and boring things that aren’t fun and don’t get you more money.
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SOMETIMES THINGS GROW AND IT’S FUN
We’re hiring! Launches! Everyone is a rock-star! Nobody cares about accountability during the good times, because growth hides all the flaws.
SOMETIMES GROWTH COMES FROM BEING EFFICIENT
FEEDBACK?
Joe Duffy (@funcOfJoe, Founder/CEO of @PulumiCorp) talks about the evolution of cloud engineering and Infrastructure-as-Code.
SHOW: 657
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Topic 1 - Welcome to the show. It’s been a while since Pulumi was last on the show (2019), so give us an update on how things are growing.
Topic 2 - There’s been a lot of change in the IaC market over the last few years - Ansible/IBM, Hashicorp/IPO, Chef/Puppet went to Private Equity, VMware bought Salt - Why do you think we’ve seen so much change in the market in such a short period of time?
Topic 3 - With more companies using the public cloud, and multiple clouds, what does Infrastructure-as-Code look like these days? Are there a new set of challenges to be solved?
Topic 4 - Pulumi has a development model that sort of straddles between IaC and applications. How does it get used in actual customer environments? Has it surprised you how it’s used by customers?
Topic 5 - What are some of the new ways in which Pulumi can take advantage of new cloud capabilities, or new trends you’re seeing from your customers?
Topic 6 - If someone was using a different IaC tool before, are there easy ways to migrate to Pulumi, or is there a steep learning curve?
FEEDBACK?
VCs used to love the public cloud because it disrupted old guard vendors. Now the cloud is keeping more of the profits and the VCs are starting to fight back.
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VCs USED TO LOVE THE CLOUD
In the old days, the first $50M of VC funding went to Cisco, EMC, Sun and Oracle. And then the public cloud came along, and that shifted to the first $5M going to AWS.
NOW VCs ARE ACTIVELY FIGHTING AGAINST THE MONSTER THEY HELPED CREATE
FEEDBACK?
Dan Lorenc (@lorenc_dan, Founder/CEO @chainguard_dev) talks about modern software-supply chains, Sigstore and SBOM.
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Topic 1 - Welcome to the show. Let’s talk about your background, and led you to found Chainguard.
Topic 2 - Over the last couple years, we’ve seen several high-profile hacks where malicious code was a big part of the problem. As an industry, where are we in terms of managing the security around software?
Topic 3 - Now that we’re building software much faster, and software is coming from so many different (and often unknown/untrusted) places, what are some of the technology shifts that are happening to address these new environments?
Topic 4 - Chainguard is focused on both secure container images and now secure supply-chain solutions. Walk us through how your offers fit into today’s software challenges.
Topic 5 - There is a new term we’re hearing quite a bit, SBOM (Secure Bill of Materials). How does SBOM fit into this bigger picture? What are the technologies behind the scenes that make it possible?
Topic 6 - For anyone focusing on this area, what are some good ways to get involved with the new technologies and way of thinking about software security?
FEEDBACK?
Headlines are boring. New technologies are boring. Companies aren’t changing the world right now. And all this boring is OK. Sometimes being pragmatic is a good thing.
SHOW: 654
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RIGHT NOW, THINGS SEEM PRETTY BORING
Crypto crashed and burned. Unicorns have to generate profits. The hyperscalers want to cut costs. From a headlines perspective, things seem pretty boring right now. And that’s OK.
BORING IS WHEN THINGS GET MORE AUTOMATED, MORE SECURE, AND REDESIGNED
FEEDBACK?
Tuhin Srivastava, (Co-Founder/CEO of @basetenco) talks about enabling Data Scientists to build better Machine Learning models and applications.
SHOW: 653
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Topic 1 - Welcome to the show. Tell us a little bit about your background and why you started Baseten.
Topic 2 - Let’s start by talking about Data Scientists. Not an easy job. They build models and analyze data. But what typically happens after that? How do the models typically get seen and what needed to happen to make that possible?
Topic 3 - What parts of those pain points does Baseten focus on? How does Baseten bring together low-code (or serverless) concepts with the complexity that Data Scientists need to deal with day-to-day?
Topic 4 - What are some of the technologies running behind the scenes to make Baseten easy to use, or that are exposed to the Data Scientists?
Topic 5 - How does a Data Scientist typically get from “I have a useful model” to “I’m making this part of a useful application”? How does Baseten create building blocks to help them not have to be front-end or back-end engineers?
Topic 6 - What are some of the types of use-cases or applications that your customers have been building?
FEEDBACK?
Digital transformation has seen a number of success stories, but it’s not always clear that it followed a DevOps Days pattern. Let’s explore what works and maybe doesn’t work.
SHOW: 652
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DIGITAL TRANSFORMATION WAS SUPPOSED TO BE THE FOUNDATION FOR DEVOPS
BUT HOW MUCH OF IT ACTUALLY WORKED OUT?
FEEDBACK?
Shahar Yakov (@shahar_yakov, Product Manager @GranulateLtd, an Intel company) talks about the different factors in optimizing Kubernetes costs.
SHOW: 651
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Topic 1 - Welcome to the show. Tell us a bit about your background, and what you focus on now at Granulate.
Topic 2 - Let’s start by talking about Cost Optimization. What’s a good framework to think about this problem? Is it a focus on over-provisioning, or optimizing applications, or a different approach?
Topic 3 - What are some of the most common areas where Kubernetes needs to better manage costs? Is it more at the infrastructure layer, or at the application layer?
Topic 4 - Tell us about the recently launched gMaestro. How does it work, and what are the common ways that companies would begin to use it to optimize their environments?
Topic 5 - Are some optimizations more immediately impactful? Are some optimizations more focused on long-term cost savings?
Topic 6 - What are the best ways for companies to engage around gMaestro?
FEEDBACK?
In technology we do a lot of hero worshiping, especially the disruptors. What happens when their moats dry up and their great ideas start showing cracks?
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WE CELEBRATE THE BIG FUNDING, THE DISRUPTORS AND THE STORIES
When things are good - low interest rates, stock price is up, VC money is flowing in, disruption gets valued at high multiples - lots of stories get written about the disruptors. But when things change - the stories are written about their failures.
BUT THE DISRUPTION RARELY LAST FOREVER.
FEEDBACK?
Louis Ryan (@louiscryan, Principal Engineer @Google) + Christian Posta (@christianposta, Field CTO @soloio_inc) talk about Istio Ambient Mesh, the new data plane for Istio service mesh.
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Topic 1 - Welcome to the show. Let's talk about both of your backgrounds, especially as they relate to Istio and service mesh.
Topic 2 - Solo and Google made a significant contribution to the Istio project today, called Ambient Mesh. Give us some background on what it is and what types of service mesh challenges it solves.
Topic 3 - Let’s walk through the core elements of Ambient Mesh, and maybe highlight where it’s the same or different from traditional Istio deployments.
Topic 4 - Sidecars (proxy) have been a core element of Istio (and most service meshes) for quite a while. Now we’re hearing about sidecar-less (or no sidecars). Can you explain why we’re starting to hear about these options and what they mean for the application and operations teams?
Topic 5 - If somebody is already using Istio today, what will be the process to add Ambient into their environment? Will they be able to run both Ambient Mesh mode and traditional Istio mode?
Topic 6 - As this is new in the Istio community, what are some of the additional things that you expand might evolve with Ambient in the future?
FEEDBACK?
Each year we celebrate labor with a day of no labor. Throughout our careers, labor means different things to different people. What does this Labor Day mean to you?
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SHOULD WE CELEBRATE THE LABOR OR THE OUTPUT OF LABOR?
Do you live to work, or work to live? Are you changing the world, or fine with incremental change?
HOW DOES YOUR VIEW OF LABOR CHANGE OVER THE COURSE OF YOUR CAREER?
FEEDBACK?
Tim Wagner (@timallenwagner, Co-Founder/CEO of @VendiaHQ) talks about accelerating multi-cloud application and data deployments, and the evolving role of serverless.
SHOW: 647
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Topic 1 - Welcome to the show. It’s been a while since you smashed servers on stage at a keynote. Tell us a little bit about your background and why you decided to leave AWS and found Vendia.
Topic 2 - The public cloud did a really good job of accelerating application growth, and data sprawl, but it didn’t really organize it very well. So we have apps across multiple clouds and data across multiple clouds. How do companies start to cope with this distributed “mess”?
Topic 3 - When does a customer’s application or data challenges become such that Vendia becomes a way to solve their problem?
Topic 4 - You’re known as Mr. Serverless. What role does Serverless play in the Vendia platform, and what other technologies are under the covers?
Topic 5 - What types of applications make the most sense on the Vendia platform?
Topic 6 - Blockchain is part of the Vendia platform. Why choose this for the backend data vs. some other database or storage technology?
FEEDBACK?
Can you justify what you spend on software? On DevOps activities? Like actually put a number on it, not just explain that it’s needed to solve the digital challenges of the business?
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HOW MUCH DOES IT COST TO CREATE AND RUN SOFTWARE?
How much does a better customer experience cost? How valuable is it to add new partners? Some questions are easy to measure, while others are not. So how do you measure them?
DOES YOUR PROJECT CLEAR THE HURDLE RATE?
FEEDBACK?
AJ Stuyvenberg (@astuyve, Engineer Lead @DatadogHQ) talks about the 2022 State of Serverless Report and the latest serverless trends.
SHOW: 645
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Topic 1 - Welcome to the show. You’ve been around the serverless market for quite a while. Tell us a little bit about your background, and what you focus on today?
Topic 2 - We’re seeing adoption of serverless in all the major clouds. Have the offerings in each cloud gotten to about the same level, or do you think this is mostly a factor of companies using multiple clouds?
Topic 3 - Node.js and Python lead the way in terms of language used with Serverless, but most companies are using 3+ languages. Are you surprised at the breadth of language usage by companies?
Topic 4 - Nearly 50% of all serverless is tied to API-Gateway usage. This surprised us - expected more to be tied to event-driven services. Any insights into how they are using serverless in this context?
Topic 5 - There’s quite a bit of variety between usage patterns between the cloud offerings - from container images, to integration with ECS/Kubernetes, to Cloud Run to Azure Container Instances. It seems to show that the market and usage-patterns are still evolving.
FEEDBACK?
Kenneth White (@kennwhite, Security Principal @MongoDB) talks about the causes of internal breaches, querying encrypted data vs encryption-at-rest, and database evolutions.
SHOW: 644
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Topic 1 - Welcome to the show. You have quite a distinguished career in security and cryptography-adjacent. Tell us a little bit about your background, and what you focus on at MongoDB?
Topic 2 - Unfortunately, we’re hearing about more and more attacks that have an internal origination. From a security and cryptography perspective, what typically breaks down to allow this to happen?
Topic 3 - MongoDB has recently launched a database that enables querying encrypted data. Give us some background on how this new concept came into being.
Topic 4 - What are the technology components involved in making this happen - on the database side, on the application side, on the key management side?
Topic 5 - What are some of the application use-cases where this new database technology makes sense?
Topic 6 - How can people start exploring this technology? Is it available in both the software and SaaS offerings?
FEEDBACK?
Maya Kaczorowski (@MayaKaczorowski, Product @Tailscale) talks about the new world of remote systems access, zero-config VPNs, and why everyone loves using Tailscale.
SHOW: 643
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Topic 1 - Welcome to the show. Tell us a little bit about your background.
Topic 2 - Let’s start with some praise and some confusion. We see tons of people saying “we love Tailscale”, and yet most people hate VPNs or are trying to get rid of VPNs. Help us get smart about what Tailscale does.
Topic 3 - Step back a little bit. Help us understand what a modern CISO has to think about regarding remote access vs. zero trust vs. encrypting communications? What are the critical things they worry about?
Topic 4 - What are some of the unique things that Tailscale does with VPNs? Why does everyone seem to love using it?
Topic 5 - Tailscale seems to work on all the modern OSs (iOS, Android, Windows, Linux, etc.). How does Tailscale work with existing networking devices?
Topic 6 - What are some of the common customer outcomes that happen when they enable Tailscale? What lessons can be learned from this approach?
FEEDBACK?
Over the last decade, software ate the world. So what are the byproducts of all that eating, and is there anything left on the table?
SHOW: 642
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HOW DID SOFTWARE EAT THE WORLD?
ARE THE INCUMBENTS FINALLY EATING THEIR OWN SOFTWARE?
FEEDBACK?
Jordan Novet (@jordannovet, Technology Reporter @CNBC) talks about how to analyze earnings from the big clouds, Microsoft’s position as the #2 cloud, and what might disrupt the Big 3 in the future.
SHOW: 641
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Topic 1 - Welcome to the show. Tell us a little bit about your background.
Topic 2 - We’re now into a different phase of the economy from the pandemic years of 2020-early2022. What are the trends we’re now seeing for the major cloud companies?
Topic 3 - Beyond looking at quarter to quarter earnings, how do you think about the trends for the bigger cloud companies (AWS, Azure, GCP) and the challenger clouds (Cloudflare, etc.)?
Topic 4 - Are you seeing anything that tells you that we’ll see a change in the standings (AWS, Azure, GCP) anytime soon (e.g. forward CAPEX spending, etc.)? Do you see the challenges/disruptors making any dents in their growth?
Topic 5 - We saw some slowing down in the growth rates of all the cloud providers this past quarter. Do you think that’s just the impact of post-COVID slowdown plus some supply-chain issues around getting new servers, or does this potentially signal that movement to the cloud might be slowing down?
Topic 6 - What types of things does the financial community wish they knew about the cloud providers that either aren't broken out (e.g. different reporting across the cloud providers), or what areas are lacking transparency?
FEEDBACK?
As much as we talk about tech, our industry is people-centric. Knowing how to find a mentor, or eventually becoming a mentor is an important skill to have. So how does it work?
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WHY DO WE HAVE MENTORS WHEN THERE ARE SO MANY BOOKS?
When I was early in my career, I thought you could just ask executives questions. And you can, but you might not always get the answers you expect. So a lot of people read books. But sometimes it’s good to find the in-between.
HOW DOES THE MENTOR / MENTEE PROCESS WORK?
FEEDBACK?
Niall Dalton (@0x01dea, Co-Founder @seaplane_io) talks about simplifying the deployment of complex application and improving Day 2 operations.
SHOW: 639
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what led you to create Seaplane IO.
Topic 2 - I feel like a lot of people talk about Lo-Code to make it easier for non-developers, and serverless for non-ops, but nobody really talks about more robust apps that want deployment and ops taken care of for them. Give us an overview of Seaplane IO.
Topic 3 - If i’m a developer, where does my code and application stop and where does Seaplane IO take over? Is there a “best” application that can take advantage of Seaplane IO?
Topic 4 - What does Day 2 look like for an application deployed to Seaplane IO?
Topic 5 - Help us understand some of the intelligent (“automatic”) things that Seaplane IO does to align my application to user-traffic, or failed cloud infrastructure?
Topic 6 - What are some areas where you see the Seaplane IO “control plane” expanding in the future?
FEEDBACK?
Ever since Developers became the New Kingmakers, DevRel has become a subsection of our industry. But what does it do, and is it helping Devs?
SHOW: 638
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WHY DID DEVREL HAPPEN?
WHERE IS DEVREL TODAY?
FEEDBACK?
Maxim Fateev (@mfateev, Co-Founder/CEO of @temporalio) talks about building modern applications, rethinking microservices, and orchestrating business logic.
SHOW: 637
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Topic 1 - Welcome to the show. Let’s talk about your background and what led you to start Temporal.io.
Topic 2 - There are lots of approaches to building (or running) modern applications - from Low-Code to Serverless to PaaS. Some are more focused on building apps and others on running apps. Where do you see various approaches today having struggles?
Topic 3 - What is the Temporal philosophy on making it easier to build/run modern applications?
Topic 4 - Let’s talk about the concept of Temporal workflows. Who interacts with a workflow (developer, DevOps teams, etc.), and how much influence does it have on both application design and deployment?
Topic 5 - What are some of the things that happen to an application using Temporal that don’t happen with some of the other tools/frameworks focused on microservices?
Topic 6 - Does Temporal help “modernize” existing applications, or is it primarily focused on new applications?
FEEDBACK?
Webb Brown (@webb_brown, Co-Founder/CEO @kubecost) talks about the evolution of Kubecost, and better management of Kubernetes costs.
SHOW: 636
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Topic 1 - Welcome to the show. Let’s talk about your background, as well as the team at Kubecost.
Topic 2 - Let’s start by talking about why Kubernetes has a cost problem. Is this mostly driven by the underlying technology, or how companies use Kubernetes?
Topic 3 - Walk us through the Kubecost open source project. How does it work, and how does it fit into the broader Kubernetes ecosystem?
Topic 4 - What are the typical stages that a company goes through (using Kubernetes) where they realize that costs are a problem? Is it an “oh sh*t” moment with a EKS/GKE bill, or are they starting to build it into their normal Kubernetes cluster bills?
Topic 5 - What are some of the common mistakes that companies make when using Kubernetes that drive up costs? Is Kubecost mostly focused on identifying them, or trying to improve them?
Topic 6 - With the economy starting to slow down post-COVID-pandemic, are you starting to see a new level of cost-consciousness starting to kick in for Kubernetes users?
FEEDBACK?
Ken Ahrens (@kahrens_atl, Co-Founder @Speedscaleai) talks about the challenges of testing applications in Kubernetes environments.
SHOW: 635
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Topic 1 - Welcome to the show. Let’s talk about your background and what led to start Speedscale.
Topic 2 - Kubernetes has definitely gone mainstream at this point, but mainstream doesn’t mean that it’s easy to use or operate. How do you see the market today in terms of companies being comfortable with operating Kubernetes - what works well, and where are their struggles?
Topic 3 - In the past we had things that would test Kubernetes conformance (from CNCF, or Sonobuoy from Heptio). Where does Speedscale come into play in terms of Kubernetes testing?
Topic 4 - Where do you see opportunities to bring value to testing of Kubernetes environments? Does this testing tend to help DevOps teams or AppDev teams more?
Topic 5 - What are some of the common areas where you see companies getting benefits from Kubernetes testing?
Topic 6 - What are some of the best ways to get started in testing for Kubernetes?
FEEDBACK?
Brian Gilmore (@BrianMGilmore, Director IoT/Emerging Technology @InfluxDB) talks about Edge and Industrial Edge Computing, as well as application and data challenges at the edge.
SHOW: 634
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Topic 1 - Welcome to the show. Before we get into the fascinating world of Edge and IoT, tell us a little bit about your background, and then where you focus these days with InfluxData.
Topic 2 - It’s been a little while since we covered IoT and IIoT. In the past it was somewhat of a fragmented market segment (lots of definitions, lots of different use-cases). How do you summarize the IoT and IIoT markets in 2022?
Topic 3 - We’ve always said that the sensor part of IoT isn’t very interesting, but what a company does with the data is very interesting (and complicated). How do companies think about edge data these days – what aspects of the data are valuable?
Topic 4 - Time Series databases seem like the perfect fit for IoT and IIoT use-cases because they are designed to be both real-time and give historical context (from a time perspective). Is this the case, and why do companies ever consider other types of databases at the edge?
Topic 5 - What are the current best practices about managing data at the edge, in terms of long-term retention and what they eventually do with the data (analysis, analytics, etc.) to better optimize those edge applications?
Topic 6 - What are some of the emerging trends you’re starting to see happen at the edge, that maybe weren’t on the industry radar a few years ago?
FEEDBACK?
Matt Butcher (@technosophos, Co-Founder/CEO @fermyontech) talks about building the next-generation PaaS platform around WebAssembly.
SHOW: 633
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Topic 1 - Welcome to the show. Let’s talk about your background, as well as the team as Ferymon, as you all have some experience building application platforms.
Topic 2 - Before we get into Fermyon, let’s talk about WebAssembly. What is it, and how does it connect to your previous world of being heavily involved in containers and Kubernetes?
Topic 3 - Let’s talk about what it means to be a WebAssembly PaaS. We’ve seen PaaS platforms in the past (Deis, Heroku, dotCloud, Cloud Foundry, OpenShift, etc.). What do developers need to do, and what does the platform take care of?
Topic 4 - Walk us through the Spin project and what it delivers? Can it be compared/contrasted to a container experience, or something else developers are familiar with?
Topic 5 - What are some of the unique capabilities and use-cases where WebAssembly is a good fit and delivers unique value today?
Topic 6 - How are people able to engage with Fermyon today?
FEEDBACK?
Competition in technology has many levels - from individuals to groups to companies to technologies. We dig into how competition impacts in multiple different ways, throughout our careers.
SHOW: 632
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TECHNOLOGY COMPETITION IS NOT LIKE SPORTS COMPETITION
COMPETITION IN TECHNOLOGY TAKES ON SO MANY DIFFERENT LEVELS
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Bryan Woodworth (Solutions Strategist @Aviatrix) talks about the evolution of Cloud migrations, security best practices, and how to organize for migration success.
SHOW: 631
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Topic 1 - Welcome to the show. Let’s talk about your background, because you've been in the big clouds and now you’re helping people navigate the journey to the cloud.
Topic 2 - It’s 2022, walk me through a typical cloud migration for a company? What are their considerations, concerns, common mistakes, etc.?
Topic 3 - Who within the company is typically driving the cloud migration? What are their goals or success metrics? And how often do they misunderstand what the cloud provider does and what the company has to do – especially around security?
Topic 4 - All the clouds are a little bit different, but companies would really like them to look and act the same. How do companies deal with those challenges, from a networking and security standpoint?
Topic 5 - Where and how does Aviatrix come into the picture when companies are doing Cloud migrations?
Topic 6 - For a company that might be new to Cloud migrations, what are some lessons-learned from the past that they can use to avoid common mistakes?
FEEDBACK?
Aaron, Brian and Brandon Whichard (@bwhichard, Co-Host of @SoftwareDefTalk) talk about all the big stories, trends and transactions in the cloud in the first half of 2022.
SHOW: 630
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Topic 1 - VMware WTF!?
Topic 2 - I really liked the recent analysis on Clouded Judgement Substack about subscription vs. consumption in an economic downturn. (link) If SaaS is the future, does the consumption model really matter as long as value is there?
Topic 3 - Is there any aspect of the crypto industry that hasn’t been proven to be a sham this year? Decentralized (no). DAOs for governance (no). Controlled by the community (no). Secure (no). Not linked to fiat currencies (no). Good technology (no). A16z propaganda (no).
Topic 4 - Are passwords finally dying? Companies like strongDM/Teleport are pushing certificate based authentication and FIDO is gaining adoption in Windows and macOS. Will there be a time when we don’t need passwords?
Topic 5 - We always talk about skills and keeping up with the industry waves on the show. SaaS is less about building skills and more about operating. How does you get/keep up to speed about SaaS and what’s the future? Is the Cloud Architect going the way of the Infrastructure Admin?
Topic 6 - Did the big 3 cloud providers all fire their marketing teams? I feel like there hasn’t been one big announcement from any of them this year.
FEEDBACK?
Dave Vellante (@dvellante, CEO/Co-Host of @theCube) talks about the VMware acquisition by Broadcom and the potential future of the combined organization.
SHOW: 629
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Topic 1 - Welcome back to the show. Lets jump right into it - did you expect VMware to get sold this quickly after finally being “free” of a parent company?
Topic 2 - “Accretive acquisition bringing $8.5B of EBITDA by Year 3” - this seems to be the statement (headline) that really has people talking. What does it mean, and what does it say about the future plans that Broadcom might have for VMware?
Topic 3 - Let’s walk through their slide “Multiple Levers to Increase VMware’s Profitability
Topic 4 - We all know that vSphere/ESX is the cash cow and isn’t going anywhere. Beyond that, how do you potentially see other parts of the portfolio moving forward - VMware on AWS, NSX (networking), VSAN (storage), Tanzu (AppDev)?
Topic 5 - Could you see companies like Cisco or HP or NetApp or Dell buying any of those businesses (especially NSX or VSAN) so that they have permanent attachment to vSphere?
Topic 6 - Do you have any experience hearing from customers of CA or Symmantec to give current VMware customers a sense of what their new world might look like?
FEEDBACK?
Kent Bennett (Venture Capitalist @bessemervp) talks about the 2022 State of Cloud report, the evolution of the SaaS business model, new monetization models, and the Great Resignation.
SHOW: 628
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Topic 1 - Welcome to the show. Let’s talk a little bit about your background, and where you focus your attention these days at Bessemer.
Topic 2 - The media headlines for Cloud aren’t great these days. What are the headlines from your State of Cloud 2022?
Topic 3 - Help us understand how much money has come into the VC systems over the last couple years and where it’s being targeted.
Topic 4 - Let’s talk about the $1 to $18 model in SaaS. How does that happen, and what separates the good companies ($18) from the good/mediocre companies ($7).
Topic 5 - You talk about “First Act” and indirect models, focused on all their companies that deliver pieces of a monetization model. How long do we expect that approach to last, because we see a wave of consolidation?
Topic 6 - A lot has been discussed about the “Great Resignation”. This has impacted both tech workers and non-tech. How do you see technology companies having an impact or influence on the global workforce?
FEEDBACK?
It’s been 13 years since the last economic downturn impacted the tech industry. Many people don’t remember those days, or we’re part of it. Here’s what to expect.
SHOW: 627
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FOR THE YOUNGER PEOPLE, THAT WEREN’T AROUND FOR 2008
HOW WILL THE CONVERSATION AROUND TECH CHANGE?
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Alessya Visnjic (CEO, WhyLabs) talks about MLOps, the concept of ML Observability and why AI models can fail. Alyessa talks about the differences between data health and model health and why post production analysis of ML is so important.
SHOW: 626
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Topic 1 - Welcome Alessya! You are what is known in the AI/ML spaces as a veteran. For those who aren’t familiar with your previous work, how about a quick introduction and background.
Topic 2 - Give everyone a background in MLOps as it is still an emerging market. We are seeing an emerging trend of trust in data to train models. How did we get to this problem? Is this a transparency and observability problem once in production?
Topic 3 - How is model health different from data health? Post deployment of models can actually be a factor, things like data drift over time…
Topic 4 - What does a typical tool chain look like? Under the covers is this a logging platform to provide visibility into the model behavior to ensure accuracy over time? I would think every model is different, how do you “standardize/rationalize” the data to detect anomalies and incorrect results?
Topic 5 - Every new category of tools has leading use cases. Where are you seeing the most traction today and how can you best help practitioners?
Topic 6 - How can folks get started if they are interested?
FEEDBACK?
Priyanka Vergadia (@pvergadia, Staff Developer Advocate @GoogleCloud) talks about how to use creative visualization to convey complex cloud topics.
SHOW: 625
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Topic 1 - Welcome to the show. You’re one of our favorite follows on Twitter. Tell us a little bit about your background, and what you focus on these days at Google?
Topic 2 - As someone who likes to whiteboard things, I’m drawn (no pun intended) to your style of communicating complex ideas. Where did this skill and style come from?
Topic 3 - How was your style looked at by Google, and what types of feedback do you get from the broader community?
Topic 4 - In the book, you cover A LOT of topics. How deep do you need to get into a topic before you start drawing it? How do you go about learning all the different technologies?
Topic 5 - What tools do you use to create all the drawings, and more so, you turn a lot of these into videos. Are these tools that other people could easily use?
Topic 6 - Any tips you’ve learned about how to communicate complex ideas, either to technical or business people?
FEEDBACK?
Miles Ward (@milesward, CTO @SADA) talks about managing the transition to public cloud, customer vs. provider responsibilities, and how to best leverage cloud provider innovations.
SHOW: 624
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Topic 1 - Welcome to the show. Dude, you’ve done some things. Tell us a little bit about your background at a few of these clouds that people have heard of.
Topic 2 - Let’s talk about SADA. We’re really curious about the perspective of Google Cloud vs. AWS.
Topic 3 - Based on the revenue numbers, companies are using public cloud services a lot these days. The clouds seem great, because they take a lot of people’s plates. Do you think they realize who is actually responsible for their cloud deployments?
Topic 4 - Having build a number of best practices | well-architected designs, how do the cloud providers think about responsibility (let’s take security as an example) and how do they expect customers to take responsibility?
Topic 5 - What are the most common mistakes companies make in this shared responsibility model? What are the biggest gray areas?
Topic 6 - Let’s come back to Google Cloud. What are some of the cool things you’re able to uniquely do in Google Cloud that really add business value for your clients?
FEEDBACK?
During uncertain times, many people seek the help of a mentor. On today’s show, we look at how to find a mentor, and how to consider being a mentor.
SHOW: 623
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HOW DOES THE MENTOR-MENTEE PROCESS WORK?
How to determine if you’re trying to find a job, or trying to find a mentor. And what does a good mentor-mentee relationship look like?
HOW TO FIND A MENTOR, HOW TO BE A MENTOR
FEEDBACK?
Andy Grotto (@grottoandrew, Researcher @StanfordCyber) and Steve Weber (Professor Cal Berkeley I-School) talk about the big picture intersection of Cybersecurity, Global Economy and Government policy.
SHOW: 622
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Topic 1 - Welcome to the show. Tell us a bit about both of your backgrounds.
Topic 2 - You both focus on the intersections between Technology, Gov’t Policy and Economics. We tend to focus on technology, but obviously they are all interconnected. Where would you start in a 101 Technology-centric class to branch out from Security threats to how it impacts those other areas?
Topic 3 - Sometimes individuals feel like they can’t impact macro-level issues. So how do you frame your areas of focus when speaking with Government or Business leaders to get them to understand the scope, the breadth, and what actions could be taken?
Topic 4 - We talk a lot on this show about new security technologies, and we talk about companies having trouble keeping up to be able to manage their security. Do you think there are other factors involved that are preventing companies from remaining secure?
Topic 5 - What are some of the security (technology) areas where you see opportunities to improve business and government security? Are these areas that need more implementations, or more funding, or more research?
Topic 6 - We’re coming (mostly) out of COVID-19, there’s various levels of economic uncertainty around the world (supply chain, inflation). What are the headlines you’re writing today and what are some of the scenarios you see playing out over the next 12-18 months?
FEEDBACK?
Cory Albert (Global Head of Cloud Strategy, Bloomberg Enterprise Data) talks about delivering cloud services to the financial services industry, new cloud delivery models, and innovations on the horizon.
SHOW: 621
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Topic 1 - Welcome to the show. Bloomberg is one of the most recognized companies in the world. Let’s talk a little bit about your background and where your focus is today.
Topic 2 - Help us understand the scope of Bloomberg’s role in the overall financial markets, in terms of delivering data to clients and partners.
Topic 3 - The demands of financial markets (latency, data volume, security, etc.) have previously mandated that resources be local (on-prem, specialized co-lo facilities, etc.), but we’re hearing more and more about how financial services are leveraging the public cloud. Can you talk about how this hybrid cloud model might be impacting data management?
Topic 4 - As we look out a few years, how do you see shifts in cloud delivery models potentially reshaping how financial services data is used, delivered, protected, etc? What are some of the future trends that you’re keeping your eyes on?
Topic 5 - There is a ton of innovation happening around the financial services markets, from how services are delivered to who is using the services. How do these changes shape the way that Bloomberg has to partner with other companies to remain innovative and competitive?
Topic 6 - You’re a veteran of the financial services industry. What are some of the interesting areas that you’re seeing for new people coming into the industry where they might have an opportunity to potentially shape the future of financial markets?
FEEDBACK?
Sam Lambert (@isamlambert, CEO @PlanetScaledata) talks about building a cloud-native SQL database from first principles, and how to eliminate the things people hate about database operations. This is cool stuff!
SHOW: 620
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Topic 1 - Welcome to the show. In less than 10 years, you’ve had quite a career rise from “MySQL DBA” to some very high-profile roles. Tell us a little bit about your background, and where you focus now as CEO of PlanetScale.
Topic 2 - There have been an explosion of “Internet-scale” databases over the last 5 years. Where is the market today for these technologies?
Topic 3 - Scaling databases is difficult. Scaling them while still allowing compatibility with known skills is even harder. PlanetScale builds upon a project called Vitess. Walk us through the journey of how Vitress got started to where it is today.
Topic 4 - What do developers want to know about databases? What do they wish they could ignore or not worry about?
Topic 5 - In today’s world, what’s the right balance between what developers want and what’s needed under the covers (e.g. Ops, scaling, security, etc.) to make sure the data is always available? What are some of the quantum leaps that PlanetScale has taken to eliminate previous problems?
Topic 6 - What are some (customer) examples of things that PlanetScale does now that you wish you had in your previous DBA roles?
FEEDBACK?
As we wade into global economic uncertainty, let's look at what we can learn from previous (2001, 2008) economic downturns and how they impacted the tech industry.
SHOW: 619
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WHAT CAN WE LEARN FROM PAST ECONOMIC DOWNTURNS AND HOW THEY IMPACT THE TECH INDUSTRY
LESSONS FROM PREVIOUS ECONOMIC DOWNTURNS
FEEDBACK?
Danny Fields (CTO/EVP @Avalara) talks about operating large SaaS environments, customizations for customer demands, and transitioning from traditional software.
SHOW: 618
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Topic 1 - Welcome to the show. You’ve got a very broad background in engineering and leadership roles. Can you share with us a little bit of your evolution, and where you focus your time at Avalara?
Topic 2 - Give us a little bit of background on Avalara (SaaS for Tax Compliance), and a little bit of details on what it means to run a SaaS platform for such a complex product offering?
Topic 3 - You’ve been involved in a number of different SaaS platforms over the years. What are some of the biggest changes and challenges you face in running modern SaaS platforms today?
Topic 4 - Taxes are a very complex ecosystem, especially with all the variants around the world. How does a product team think about balancing the desire to deliver a consistent experience (SaaS operations) and customer demands for uniqueness?
Topic 5 - How do you think about balancing optimizations around Operations and taking advantage of all the new innovations happening in open-source, or from the cloud-providers, or just internal capabilities from your team?
Topic 6 - Any tips for anyone looking to get into SaaS operations, or transitions from traditional data center software delivery?
FEEDBACK?
Pranay Kamat (Prod Mgmt @datadoghq) talks about the challenges is protecting sensitive data, internal vs. external attacks, evolution of DLP, the role of Governance in DevSecOps.
SHOW: 617
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Topic 1 - Welcome to the show. Let’s talk about your background and the areas where you focus at Datadog.
Topic 2 - We continuing to see headlines about critical data being stolen, which is a trend that doesn’t seem to be slowing down. Give us a picture of where we are with the problems that are still causing this, and what new things companies can do to prevent it.
Topic 3 - Where are some of the differences between traditional Data Loss Prevent (DLP) strategies and strategies that proactively look at logs to identify data access and breaches?
Topic 4 - We often think about attacks coming from the outside, but oftentimes attacks happen from inside the house (directly or indirectly). How important is it to be able to control access to logs and what is visible within logs to prevent internal attacks and vulnerabilities?
Topic 5 - What are some of the more dynamic, modern ways to identify sensitive traffic and tag it properly so systems can act on it?
Topic 6 - It’s often said that security is everyone’s issue. In modern teams (DevOps, DevSecOps, etc.), where are you seeing as the owner of this Governance and Sensitive data?
Raman Sharma (@rasharm_, VP Product & Programs Marketing @DigitalOcean) talks about the evolution of Digital Ocean, the right tools for developers, and managing simplicity and scale.
SHOW: 616
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Topic 1 - Welcome to the show. Your career has followed a parallel path to the evolution of the cloud. Let’s talk a little bit about your background, and especially your involvement with developers.
Topic 2 - It’s been a while since we last had DigitalOcean on the show. Before we dive into the technology stack, let’s talk about how DigitalOcean thinks about developer needs.
Topic 3 - Compute, Storage, Networking, Databases, Kubernetes, PaaS, Marketplace. Walk us through where DigitalOcean helps developers make it simple to use these primitives.
Topic 4 - What do developers ask you for next? Is it more capabilities, or different pricing, or something else to make their lives easier?
Topic 5 - What do your customer’s teams look like? Do they align to the primitives (e.g. cloud infrastructure teams), or is it more “you build it you run it”, or something else?
Topic 6 - Where are some of the areas where DigitalOcean is focused or sees new opportunities in 2022 and beyond?
FEEDBACK?
In this new series, we’ll look at ways to explain complex technical topics. This week we’re looking at Service Mesh.
SHOW: 615
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HOW DOES A SERVICE MESH WORK? WHEN SHOULD YOU CONSIDER ONE?
A service mesh is a dedicated infrastructure layer for facilitating service-to-service communications between services or microservices, using a proxy.
LET’S EXPLAIN HOW SERVICE MESH WORKS.
We explain service mesh using a family household analogy, and how it changes over time. We relate this back to how an application evolves from a monolith to microservices.
FEEDBACK?
John Jahnke (CEO of @Tackleio) talks about the rise of Cloud Marketplaces, the evolution of B2B purchasing for cloud products, and the relationship between software vendors and cloud providers.
SHOW: 614
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Topic 1 - Welcome to the show. Tell us a little bit about your background. And please give us a quick overview of Tackle.
Topic 2 - Everybody knows about the 100s of services that get announced by the major hyperscalers each year, but not as many people are aware that there’s more to the cloud than native services. Where do cloud marketplaces fit into the cloud ecosystem, and how have they evolved over the years?
Topic 3 - If we wanted to explain the value of a cloud marketplace to someone, what value does it provide to the various parties involved - the cloud, the marketplace owner, the software company using a marketplace, the customers using a marketplace?
Topic 4 - Can you walk us through the process of how a software company engages with a marketplace? Are they working to get their software into 3rd-party marketplaces, or building their own marketplaces, or something else?
Topic 5 - How do the Tackle marketplaces different from the AWS, Azure or GCP marketplaces?
Topic 6 - What are the best ways for companies to create a plan to leverage cloud marketplaces to better reach customers and specific markets?
FEEDBACK?
No Brian (Gracely) for a Sunday Perspective this week. We have Brian Singer (@brian_singer, CPO @nobl9inc) talking about Service Level Objectives (SLO), what they are, why they matter, and how to use SLOs to focus on innovation vs. technical debt.
SHOW: 613
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Topic 1 - Brian, welcome to the show! We had Alex on the podcast last year and look forward to continuing the SLO conversation. Give everyone a brief introduction.
Topic 2 - If someone isn’t familiar with SLO’s (Service Level Objectives), how do you define them? Why do they matter? What problem do they solve? How are they different from SLA’s?
Topic 3 - Is this a transition from max reliability to instead look at errors as a “budget”? How can you manage a certain window of unreliability and keep customers happy?
Topic 4 - How do you create SLOs? Who creates them? Is this an SRE connecting up to existing systems or new tooling and plumbing? Does it fit into an existing GitOps workflow for instance - SLOs-as-Code? Is there automation triggers that happen when conditions are met?
Topic 5 - How does an SRE know which metrics matter? I would imagine not all downtime is equal? How does this correlate with business KPIs? Do you fine tune over time?
Topic 6 - The big question is always the focus on technical debt vs. innovation. Does this help and if so how?
FEEDBACK?
Borja Burgos (@borja_burgos, Director of Product @datadoghq) talks about monitoring and measuring CI/CD environments, “shift left” for security and test coverage, and understanding test coverage patterns.
SHOW: 612
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Topic 1 - Welcome to the show. You’ve got quite an impressive track-record as an entrepreneur and founder. Tell us a little bit about your background, and some of the things you’re now focused on at Datadog.
Topic 2 - You wrote that “Master is the new Prod, and Devs are the new Ops”. Can you help us unpack the concepts that you were trying to convey?
Topic 3 -.How widespread is the understanding that it’s important to monitor CI/CD environments, vs. the more traditional focus of monitoring production environments?
Topic 4 - What are some of the areas where CI visibility or synthetic CI/CD testing helps improve application quality and overall availability in production?
Topic 5 - All of these efforts to test earlier, integrate earlier and have visibility earlier sound like the “shift left” movement. Are those things difficult to do, since many companies have siloed teams?
Topic 6 - What are some of the ways that your team has been able to take the technology from Undefined Labs and bring it into the broader scope of capabilities that are available through Datadog?
FEEDBACK?
Could you explain Twitter to a 5yr old? Some things are just difficult to explain, and this week we look at the challenges of trying to explain complex technical concepts to everyday people.
SHOW: 611
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I GET HOW IT WORKS, BUT WHAT DOES IT ACTUALLY DO?
Many of us use Twitter on a daily basis, but if you had to explain it to someone, could you explain what it is and what value it provides? Many of us are tasked with a similar challenge in trying to explain our day-to-day work.
EXPLAINING COMPLEX THINGS IS HARD. MAYBE THAT’S A SIGN THAT IT’S TOO TECHNICAL OR SHOULD BE BROKEN APART
FEEDBACK?
Ian McClarty (President @PhoenixNAP) talks about the evolution of the CoLocation and DataCenter-as-a-Service market, cloud repatriation, how software has changed the economics and working closely with hyperscalers.
SHOW: 610
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Topic 1 - Welcome to the show. You’ve run PhoenixNAP for more than a decade. Give us some sense of the evolution of the CoLocation | Managed Services market over that time.
Topic 2 - Lots of people focus on the cloud hyperscalers, but there are a ton of business needs that they can’t satisfy - whether it’s location, or dedicated resources, or offloading skills, etc. What are the biggest challenges that your customers are facing these days?
Topic 3 - The breadth of capabilities that you offer has really evolved - from locations, to capabilities, to flexibility you can offer customers. How much has the industry shift to software-defined-services enabled that to accelerate?
Topic 4 - What is a typical relationship that your customers have between you and the hyperscalers? It seems like there are a lot of potential synergies that benefit everybody.
Topic 5 - What differentiates the CoLocation | Managed Cloud providers these days? And where do you see that evolving?
Topic 6 - What are some of the most common ways that your customers take advantage of the value you provide them - whether it’s technology, or people skills, or capacity planning or locations?
FEEDBACK?
Transitioning from a technical role to a “less” technical role can be scary. Let’s look at how you might evaluate a change, and some tips to succeed in the transition.
SHOW: 609
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I DON’T WANT TO LOSE MY TECHNICAL SKILLS OR REPUTATION
It’s completely normal to be concerned about losing your technical skills, the thing that has established your current value to your employer, if you transition to a more product or business-focused role.
HOW TO SUCCEED (OR AVOID FAILING) IN A TRANSITION
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Ben Hagan (@ben_hagan, Founder/CEO @polyScaleAI) talks about the challenges of database performance, distributed data and applications, and how caching-as-a-service can improve performance.
SHOW: 608
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Topic 1 - Welcome to the show. You’re very much a data-centric person. Tell us a little bit about your background and what led you to found Polyscale?
Topic 2 - Before we dive into what Polyscale does, let’s talk about the problem that it solves for companies.
Topic 3 - Let’s talk about how Polyscale makes data-access faster, without having to rewrite a bunch of applications or databases. Help us understand things like placement, scaling, resiliency, etc.
Topic 4 - How much different will the experience be for an application-developer or DBA? How much visibility will be available to troubleshoot or make adjustments?
Topic 5 - How is Polyscale different from a CDN platform?
Topic 6 - What are some of the initial use-cases or problem areas where companies can take advantage of Polyscale capabilities?
FEEDBACK?
Every week we talk about new technologies and new trends. But studies show us that new technology adoption tends to be very slow, especially at high levels. What’s behind the inability of new tech to displace legacy tech?
SHOW: 607
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IF IT AIN’T BROKE, DON’T FIX IT
For existing companies, most of the budget (typically 70-80%) is spent maintaining existing systems. New technologies are rarely used to replace existing technologies, but are usually additive. New teams and new processes are created, and those teams are often expensive (rare skills).
OUTSIDE OF CLOUD, THE COSTS OF CHANGE ARE DIFFICULT TO MANAGE
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William Collins (@@WCollins502, Principal Cloud Architect @AlkiraNet) talks about how to seamlessly build multi-cloud networks for any applications.
SHOW: 606
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Topic 1 - Welcome to the show. Tell us a little bit about your background.
Topic 2 - Every survey that comes out says customers are going to be using multiple clouds for quite a while. Interconnecting all these services, either simply or in complex ways is now a reality. Walk us through how this challenge is typically approached?
Topic 3 - Walk us through the different options, from VPNs to SD-WAN to Cloud Interconnects. What are the pros/cons and trade-offs for companies?
Topic 4 - Has the COVID pandemic and all the remote work changed how companies network with the clouds? Are these expected to be temporary changes, or likely to remain long-term
Topic 5 - How does Alkira fit into the cloud networking picture? Does their approach to simplifying things help when companies are adopting things like DevSecOps, where networking might not be the primary focus?
Topic 6 - What are some ways that companies on their multi-cloud journey can benefit from simplified ways to enable security and inter-connections to the cloud?
FEEDBACK?
DevOps mashes together two things, Dev and Ops. But in reality, it includes much more than that. But who owns DevOps? Does anyone use all of DevOps? And is DevOps a people, process or technology?
SHOW: 605
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WHEN DOES A TOOL STOP, AND A PROCESS BEGINS?
How would you define DevOps? Who owns DevOps?
MOST PEOPLE ONLY USE 30% OF THE FEATURES OF ANY TOOL
FEEDBACK?
Loren Goodman (CTO @InRule) talks about the intersection of AI/ML, DevOps, and Low Code/NoCode and making complex decisions using automation.
SHOW: 604
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Topic 1 - Loren, welcome to the show. How about a brief introduction and background.
Topic 2 - Our audience shows an interest in AI/ML but at least as us as the hosts, we aren’t deep on the AI/ML side. So, let’s start at the start, what is a decision platform? How is AI/ML involved? And most importantly, why do companies need one?
Topic 3 - As I understand this, this is about an intersection of AI/ML with DevOps and then providing access to non-technical SME’s as well? Is this the correct way to think about this? How does this relate to automating complex decisions and how does this help the business? Does this stray into the topic of LowCode/NoCode?
Topic 4 - Anytime I think about automation, especially highly automated CI/CD pipelines, I worry about a ripple effect. Is it true to say the more complex the decisions, the higher the risk that something will not go as planned? Any recommendations or best practices/lessons learned you would like to share?
Topic 5 - This has me thinking about another trend, we keep hearing anything with Ops tacked on the back. Of course DevOps, then DevSecOps, AIOps, etc. Is this DecisionOps? What industries are typically drawn to these types of platforms? I can see this benefiting highly regulated industries.
Topic 6 - As this may be a new topic for some, if folks want to learn more, how would you suggest they get started in this space?
FEEDBACK?
Making changes to applications has always been difficult. DevOps and Microservices introduced new techniques to simplify that, but also introduced new challenges that can be difficult to manage. Should things be easier for Devs or Ops?
SHOW: 603
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DEVELOPERS WANT MORE FREEDOM TO CHOOSE AND MAKE CHANGES
Since the earliest days of PaaS, developers have wanted more freedom to choose how they build applications, and wanted less to distract them. But those trade-offs move the challenges of managing applications to different areas.
HAS DEVOPS FIGURED OUT HOW TO BALANCE THOSE TRADEOFFS PROPERLY?
FEEDBACK?
Forrest Brazeal (@forrestbrazeal, Head of Content @GoogleCloud) talks about the realities of multi-cloud (intended and accidental), how to adapt skills to new cloud environments, and best vs. worst practices.
SHOW: 602
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Topic 1 - Welcome to the show. We first learned about your skills at A Cloud Guru, but you work on a bunch of really interesting projects. Tell us a little bit about your background, and what you now focus on at Google Cloud.
Topic 2 - For a while you were very AWS-centric in your focus. What were your thoughts on multi-cloud a few years ago, and how has that evolved over the last few years?
Topic 3 - Hashicorp’s recent State of Cloud Strategy Survey found 76% of employers are already using multiple clouds in some fashion, with more than 50% flagging lack of skills among their employees as a top challenge to survival in the cloud. What do these survey results tell you about actual company usage of clouds?
Topic 4 - You spend a lot of time talking to people about cloud jobs and transitioning to cloud skills. In the context of multi-cloud, who do you find should be focusing on multi-cloud? Is it more infrastructure-centric or application-centric or something else?
Topic 5 - Technical people obviously can’t be experts in everything (all clouds). Do you have any suggestions for companies that have to manage applications across multiple clouds? Best practices, worst practices, etc.
Topic 6 - We have to ask about the songs. How did it begin, what’s the process, and do your co-workers respond to them?
FEEDBACK?
There are transitional moments, often many, in your career when you just don’t think you can make the change. This week we look at the thought process of how to address those “don’t think I can” moments.
SHOW: 601
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SOMETIMES HARD DECISIONS ARE HARD
There will be times in your life when you’d like to make a change, or take on a new skill or opportunity, but you tell yourself that you’ll never be able to do that.
THE JOURNEY IS OFTEN MORE INTERESTING THAN THE DESTINATION
At times it can seem like the new thing will take forever to learn, or that it’s too far out of reach. We talk about some examples of when changes happen, the thought process involved, and how to measure the next stage.
FEEDBACK?
Jesse Proudman (Makara, Co-Founder & CEO) talks about how he moved from infrastructure into the world of crypto. He gives advice on learning and his plans to make investing in this space more approachable for everyone.
SHOW: 600
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Topic 1 - Welcome back Jesse! We’ve chatted multiple times over the years but most recently back in 2018 with your first crypto startup, Strix Leviathan. For those who haven’t heard from you before, how about a quick introduction and background.
Topic 2 - By now, everyone has heard of crypto and it seems these days, everyone has an opinion on crypto. What got you started in the space and what prompted you to spin off a second company from Strix Leviathan, the new company is Makara.
Topic 3 - What are the most common misconceptions and objections you run across these days in the crypto space?
Topic 4 - Before we dig into Makara and what is different there. What are your thoughts on differences between tokens? There are many different spaces and types. Layer 0, Layer 1, Layer 2… Does this matter to the average person or is Bitcoin the same as Ethereum?
Topic 5 - Tell everyone a little bit about Makara and why it is different?
Topic 6 - To bring this back around to the previous question on types of crypto and categories. Tell everyone about Makara’s concept of baskets for categories and how do you decide on groupings and when do you introduce new baskets?
Topic 7 - Because of the interest in this space, there are lots of people out there giving bad advice and trying to make a quick buck. Most of the dedicated podcasts covering this space are horrible I’ve found. If someone was new and wanted to get started, where would you go?
FEEDBACK?
We’re at an interesting crossroads. Technology is becoming more distributed, and yet the teams managing it are having to become more integrated. For successful companies, this is creating a different way to think about “platform” services.
SHOW: 599
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LOCATIONS, INFRASTRUCTURE AND APPLICATIONS ARE BECOMING MORE DISTRIBUTED
Data Center to Cloud. Zero-Trust Networks. Users (internal and external) are everywhere. Application Services are managed, or reached via an API.
WHAT DOES THE LAYER ABOVE INFRASTRUCTURE LOOK LIKE NOW?
We know that infrastructure is now “Cloud” and often managed by someone else, but what do we call the stuff about it? Some of it is Applications, some of it is Application-Services, and then there is a bunch of stuff that crosses boundaries between networking, security, API governance, application acceleration, etc..
FEEDBACK?
Elliot Shmukler (@eshmu, Co-Founder/CEO @anomalo_hq) and Jeremy Stanley (@jeremystan, Co-Founder/CTO) talk about how data integrity and changes can impact both technology and business decisions.
SHOW: 598
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Topic 1 - Welcome to the show. Let’s start with brief introductions and backgrounds. Elliot & Jeremy please introduce yourselves.
Topic 2 - As mentioned you both met and worked together at Instacart. Let’s introduce the concept of data quality and integrity to those who may not be familiar. What patterns and problems did you see. Any possible horror stories you can share?
Topic 3 - Up until now, I’ve seen big data often more about finding the needle in the haystack. It’s in there somewhere, you just have to find it. But, what if it is the wrong needle?
Topic 4 - Are we also talking about data drift over time as the amount of data grows? As data is added to the pool, we may come to different conclusions. How do we know if the new conclusions are based on good data or bad data?
Topic 5 - You recently announced a partnership with Snowflake. This makes sense, why build another data lake and that of course may be a barrier of entry to some, correct? Are we reaching a point with big data and data lakes that we can have one single source of truth? I know we are in early days but how do most customers approach big data today and how do they keep the data sets up to date.
FEEDBACK?
Sometimes change happens fast, and sometimes change happens over a long period of time. Today’s show tries to put a few things in perspective around tech and non-tech change.
SHOW: 597
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WE WISH WE KNEW MORE ABOUT OUR AUDIENCE, AT A PERSONAL LEVEL
We have listeners from 130+ countries. Unfortunately podcast tools don’t give us individualized information about our audience. Over the last 5 weeks, we had 19 listeners from Ukraine. This past week, we had 0. We hope that they are all safe.
YOU NEVER KNOW WHEN A JOB WILL BE A GREAT JOB, GOOD JOB, OR BAD JOB
Over the years, Aaron and I have changed jobs within the tech industry several times. Sometimes we stayed for a little while and sometimes much longer. You never know how a specific job will be going into it, and sometimes it’s hard to have perspective on it while you’re in the job. The best you can hope for is a few great teams, or great projects, or working with great people, to offset that lots of things in tech don’t pan out like they are expected.
FEEDBACK?
Tim Prendergast (@auxome, CEO strongDM) talks about security access as code, the latest security trends including Zero Trust and taking a modern approach to security.
SHOW: 596
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Topic 1 - Welcome back to the show! For those that don’t know, you were on the Cloudcast show #151 way back in the day and one of our first security guests. Hard to believe it has been almost 8 years since we’ve had you on the show. For those that don’t know, give everyone a brief introduction and what you’ve been up to since your evident.io days.
Topic 2 - You introduced our listeners to the concepts of Continuous Security Monitoring and Shared Responsibility in the public cloud. Bring folks up to date, how have security models and concepts evolved?
Topic 3 - Leading question for you Tim… as we know strongDM recently published some great reports on this, go check out the Infographic and Year of Access Reports linked in the show notes. Where do developers and more specifically where does DevOps or even DevSecOps fit into all of this? How do we “air gap” developers in public cloud while maintaining access to the tools and workflows they need. (i.e. ssh keys, AWS IAM keys, RDP logins, and database credentials)
Topic 4 - Security to me has always been a tradeoff of convenience. But, we also have the rise of automation, which I would expect to be a big convenience vs. risk trade off, especially at scale. Is this still true? Where does Zero Trust fit in?
Topic 5 - Lets talk about strongDM specifically quickly. I’ve heard the term “access as code” thrown around. Is this a proxy, a VPN, tell us a bit about the tech and the implementation and use case and what changes.
FEEDBACK?
Kubernetes won the container wars and continues to grow in use across many industries. But how did something that was about Cloud-native Applications gain traction without a developer experience?
SHOW: 595
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HOW DID KUBERNETES WIN WHEN IT STARTED FROM BEHIND?
Listening to this week's SDT show, and remembering listening to SDT years ago, @cote comments about why Kubernetes "won" were always interesting. In essence it was late to market, was lacking in features vs. competitors (Mesos, Swarm, CF), and had a terrible user-experience...so how did it "win"? It all seems ass-backwards.
HOW HAS KUBERNETES CONTINUED TO WIN, WITHOUT A DEVELOPER EXPERIENCE?
FEEDBACK?
Kevin Hu (@kevinzenghu, Co-Founder | CEO at @Metaplane) talks about the concepts behind Data Observability and the unique challenges for Data Engineers.
SHOW: 594
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Topic 1 - Welcome to the show. Let’s talk about your background and what led you to start Metaplane.
Topic 2 - Let’s start by talking about the concept of what is a modern data engineer. What is this person doing, what are they responsible for, and who are their typical “customers” within a business.
Topic 3 - Beyond just huge volumes of data and trying to make the data usable (formatting, ETL, storage access, etc.), what sort of problems do data engineers encounter? How much is typically “first-party data” and how much comes from external systems?
Topic 4 - Let’s talk about Data Observability. First off, what is it?. And second, how is it different from the Observability that we’ve seen from Datadog or Honeycomb or Observe or many others?
Topic 5 - What are the types of Data Observability problems that Metaplane is focused on solving for Data engineers? Are these usually done independently, or in collaboration with the application or business analyst teams?
Topic 6 - What are some of the immediate results (improvements) that companies see when adding Data Observability to their environments?
FEEDBACK?
DevOps is defined as, “Everything you do to overcome the friction created by silos … All the rest is plain engineering” Why is it so difficult to implement, but so easy to make up so many job titles surrounding it?
SHOW: 593
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IF EVERYTHING IS DEVOPS, THEN WHAT IS DEVOPS?
Patrick Dubois, one of the original creators of the DevOps concept, recently published a framework to think about all the job titles that have emerged out of the original DevOps concept. Is this a good progression, or is it just hiding the cultural and organizational complexities that DevOps is trying to address?
THE CHALLENGES OF TRYING TO ELIMINATE SILOED TECHNOLOGY FUNCTIONS
FEEDBACK?
Erik Peterson (@silvexis, Founder/CTO/CISO @CloudZeroInc) talks about how Cloud Cost Mgmt has matured, the importance of business context for cloud costs, and best practices for managing SaaS costs.
SHOW: 592
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Topic 1 - Welcome to the show. You have a very interesting background. Tell us a little bit how you’ve gone from Nuclear watchdog to Banking to Product guy to Security guy and now focus on Cloud costs.
Topic 2 - Let’s start by talking about maturity levels of companies using the cloud. Engineering teams are fairly mature, but how mature are product teams, finance teams, marketing teams, etc, especially when it comes to understanding cloud costs in their world?
Topic 3 - Cloud Cost Mgmt used to be all about when to use on-demand vs. Reserved Instances. Have the systems evolved to be more contextual - (example) so marketing teams can run experiments and product teams can make smarter feature priority decisions?
Topic 4 - We’re seeing a lot of companies moving from selling software to delivering their capabilities as a SaaS offering. This is a big change in the economics of that business. How can those types of teams think about cloud costs?
Topic 5 - How much of Cost Mgmt is systems vs. people that understand the contexts of costs? What is your perspective on how much should be automated systems vs. human expertise to augment automated systems?
Topic 6 - What are some of the most common mistakes you see companies make around Cost Mgmt, or some tips you give to immediately help companies better spend on Cloud
FEEDBACK?
Shadow IT and start-ups were the original users of public cloud, over a decade ago. But as public cloud has become a multi-billion dollar business, let’s explore how the role of Shadow IT has evolved.
SHOW: 591
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DOES SHADOW IT STILL EXIST IF PUBLIC CLOUD IS MAINSTREAM?
Shadow IT began as a way to be more productive in the office (server under the desk, WiFi in a conference room, etc.) and then it went to the cloud (SaaS, the IaaS/PaaS). But how did it evolve and what situations has it created now?
WHAT DOES THE NEW DISTRIBUTED IT LOOK LIKE NOW?
FEEDBACK?
Tim Banks (@elchefe, Principal Cloud Economist @duckbillgroup) talks about how public cloud providers are offering committed spend programs, and ways to best use their programs to manage cloud spending.
SHOW: 590
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Topic 1 - Welcome to the show. You’ve got a very interesting background of hands-on technical and being on the business side of things. Tell us a little bit about your background and what you focus on at Duckbill Group.
Topic 2 - Let’s start by talking about this trend of long-term cloud contracts. Why are we seeing more and more announced, and who does it seem to benefit more (cloud provider or customer)?
Topic 2a - How do companies typically size these deals? Is it some percentage of current spend forecasted forward, or some aspirational goal, or something else?
Topic 3 - When a company signs up for one of these long-term committed spend contracts, what are the mechanics of the contract? Is it just “all-you-can-eat” technology, or do they tend to include additional capabilities/services, etc?
Topic 4 - What have you found to be the behavior of companies that sign these contracts? Does it lead to more projects getting created, or more experimentation, or any other unintended consequences?
Topic 5 - At what point do companies start re-evaluating the contracts? What happens if they find themselves way below expected spending expectations?
Topic 6 - Have you seen any new behaviors from the cloud providers once they sign a contract, whereas one group (or service) is pushing hard to capture a bigger portion of the contract?
FEEDBACK?
Our industry is fascinated with the origin stories of founders and the end of technology trends. In between, we seem fine with learning curves and technical debt.
SHOW: 589
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WHEN ONE TECHNOLOGY ENDS, DOES ANOTHER TAKE ITS PLACE?
During a recent interview, I was asked “How close to complete is Kubernetes?”. We also saw a survey saying that less people are interested in Serverless (knowledge/training). Kubernetes is far from complete, and Serverless was supposed to be the next thing.
WHY DO WE WORRY MORE ABOUT THE END OF A TECHNOLOGY AND LESS ABOUT TECHNICAL DEBT?
FEEDBACK?
Preeti Somal (@psomal, EVP Engineering @Hashicorp) talks about the evolution of Hashicorp Cloud Platform, creating cloud services from software projects, and the evolution of cloud SREs and SLAs.
SHOW: 588
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Topic 1 - Welcome to the show. We’re always excited to have women leaders on the show. Tell us a little bit about your background and your focus areas at Hashicorp. Congrats on the UGA National Championship.
Topic 2 - Let’s talk about the Hashicorp Cloud Platform. We’ve covered Hashicorp software for years. How did HCP come about, and how has it changed how Hashicorp thinks about what you’re building (software vs. cloud services)?
Topic 3 - To create a cloud service out of an existing Hashicorp product (e.g. Terraform or Vault), does it just require creating an SRE team to run it, or do you have to rethink how the technologies are built and operated?
Topic 4 - How have Hashicorp customers adapted to consuming cloud services vs. running the software themselves? Sometimes the cloud services have to be more restrictive to deliver SLAs.
Topic 5 - Are you able to do anything unique in the cloud(s) that you couldn’t do as software products? Does multi-cloud provide any unique opportunities?
Topic 6 - Are you finding any new ways to interact with your communities now that Hashicorp is offering cloud services?
FEEDBACK?
As the “Great Resignation” rolls along, many people are facing the prospect of a new role or a new company. What are some tips to be successful in the near-term in this new role?
SHOW: 587
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20-25% OF PEOPLE IN TECHNOLOGY HAVE CHANGED JOBS IN THE LAST 18 MONTHS
Lots of people are taking new jobs, and right now the industry is paying a premium for talent. So how can you stand out in your new role or company? How can you make an immediate difference?
HOW CAN YOU STAND OUT IN YOUR NEW ROLE OR NEW COMPANY
FEEDBACK?
Dave Vellante (@dvellante, Cofounder & Co-CEO SiliconANGLE Media, co-host of @theCUBE) talks about the emerging trends of powerful application services built for multiple public clouds.
SHOW: 586
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Topic 1 - Welcome to the show. We’ve known each other for a while, but tell folks about your background.
Topic 2 - Let’s talk about this term that you’ve been using at SiliconAngle, “SuperCloud”. You introduced it at AWS re:Invent 2021. Give us some context about what you think is new and what has changed?
Topic 3 - The three major cloud providers (AWS, Azure, GCP) now have 100s of services, but we’re seeing success from these companies built on top of them. Do you think the cloud providers have misjudged the importance of innovation vs. integration?
Topic 4 - We now have a decade of knowledge in how to build technology on top of the public cloud (architectures, economics, partnership models, etc.). Do you think we’ll see an acceleration of these Supercloud services, and maybe even some unique new capabilities?
Topic 5 - You highlighted that this isn’t just IT-centric services, but also industry-vertical services. We’ve seen SaaS services try and disrupt some vertical industries (FinSvcs, Health, Streaming Media, etc.). How do you see the industry-verticals accelerating with supercloud architectures?
Topic 6 - Do you think that supercloud becomes the new normal for cloud providers, or do you think they double-down on trying to build their application portfolios?
FEEDBACK?
We’re looking for some listener feedback on a new idea to help make it easier to learn about new technologies, and bring more new ideas into The Cloudcast community.
SHOW: 585
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CAN WE MAKE IT EASIER TO SHOW MORE TECHNOLOGY
We get 100s of requests to come on the podcast, but we struggle to find the best way to both highlight new technologies and fit them into 52 week in a year. So we'd like to try something new. #CloudcastDemos
SUGGESTIONS ON HOW TO PRIORITIZE THE PEOPLE AROUND YOU
FEEDBACK?
Chris Castiglione (@castig, Co-Founder One Month, Adjunct Professor @Columbia_Biz) talks about the fundamental concepts behind web3 (crypto, blockchain, decentralized applications and identity of resources), as well as smart contracts and how to get started with web3 apps.
SHOW: 584
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Topic 1 - Welcome to the show. You’re a man of many skills. Tell us a little bit about your background, as an entrepreneur, an educator and as a developer.
Topic 2 - Web3 is potentially a big concept. As someone who both builds web3, but also explains web3, how do you begin explaining the main concepts to newbies?
Topic 3 - Many of the web3 discussions center around “distributed systems”. Can you help us understand what is distributed vs. these more centralized on-ramps like Coinbase or Openseas or a virtual world?
Topic 4 - Is everything associated with web3 tied to cryptocurrencies? Is that the starting point for everything web3?
Topic 5 - What are some ways to understand not only the broad set of crypto coins/tokens, but also the differences between currencies and smart contracts?
Topic 6 - Is there a way to build a Hello World app for web3? Or how would you structure a One Month (to Code) for web3?
FEEDBACK?
Ever since the pandemic started, remote work is trending up. Whether or not this becomes the new normal or just a more common option, let’s look at some ways to succeed in distributed environments.
SHOW: 583
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COVID HAS REDEFINED WHERE AND HOW PEOPLE WORK
James Governor at Redmonk makes a great case for how remote work reshaped Silicon Valley and many companies around the world. His article has spurred much debate about whether or not the trend will last.
WHAT LESSONS CAN BE LEARNED TO BE MORE EFFECTIVE AS A REMOTE WORKER
FEEDBACK?
Shawn Wang (@swyx, Head of Developer Experience @Temporalio) talks about the breadth of developer skills needed, how developers learn new technologies, and insights into important future trends for a broad set of developers.
SHOW: 582
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Topic 1 - Welcome to the show. You seem to be at the center of (or around) so many developer-centric conversations. Tell us a little bit about your background, and some of the areas you’ve been focused on.
Topic 2 - You’re well known for The Coding Career Handbook. With so many options out there for developers, how do you frame conversations about where people should focus?
Topic 3 - At some point, developers (like many engineers) get bored of working on the same things. Right now it seems like we’re in the middle of big changes. What should they think about the transition process?
Topic 4 - As a developer, what are some of the best ways to get visibility of your projects? How do you find the right balance of public projects, side projects, and whatever you’re currently getting paid for (main company job)?
Topic 5 - Any tips or tricks that you’ve learned to accelerate your learning process?
Topic 6 - How is WFH changing the developer work-life-balance?
FEEDBACK?
As we kick off 2022, it’s important to remember that behind all the interesting technology is people. And those people have been living under extraordinary circumstances going into their 3rd year.
SHOW: 581
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LOTS OF THINGS HAVE CHANGED, AND PEOPLE DON’T LOVE CHANGE
No matter where you are in life (or job), the New Year tends to make you self-reflect and re-prioritize the things that are important to you. And when this dynamic happens within teams, those two priorities don’t always align.
SUGGESTIONS ON HOW TO PRIORITIZE THE PEOPLE AROUND YOU
FEEDBACK?
Aneel Lakhani (@aneel, Venture Partner @crane_vc) talks about the modern state of Tech VC investing, the changing pace of investment horizons, portfolio thesis, and helping founders.
SHOW: 580
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Topic 1 - Welcome back to the show. You’ve changed roles. Tell us about what you’re working on these days.
Topic 2 - You’ve worked at startups, been an advisor to startups, and an angel investor in the past. In 2022, what does a Venture Capitalist do? How has that evolved over the last 5 years?
Topic 3 - It not only seems like there is a lot more money flowing into startups, but a lot more early. Is there sort of a “homerun” mentality happening across the VC world, or is that just one of the headlines?
Topic 4 - How do you go about creating your investment thesis? Do you have a future horizon that you’re thinking about, or is it more about technology sectors, or founder personalities, etc.?
Topic 5 - How do you balance between investing in something completely new, and seeing something that is just a much better version of a current mousetrap?
Topic 6 - How involved do you get with the companies? How involved do you want to be? How much do the founders guide you vs. you guiding them?
Topic 7 - At the macro-level, what areas are you most interested in (investing) vs. just areas where you’re doing a lot of research (personal interests)?
FEEDBACK?
As we wrap up 2021 and have some down time, here’s a list of things we’re reading to try and make sense of the big changes happening in cloud computing and around the web.
SHOW: 578
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SHOW NOTES - "FUTURE OF CLOUD COMPUTING" and "WEB 3 vs WEB2"
READING LISTS - https://docs.google.com/document/d/1gjIUAnEhuudVm4t1MJ4dka7AqOPSng0pnUR4fOY25AQ/edit?usp=sharing
Other interesting Twitter Threads
FEEDBACK?
Aaron (@aarondelp) and Brian (@bgracely) discuss the biggest trends from 2021, and make bold cloud computing predictions in 2022.
SHOW: 577
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PODCAST BUSINESS:
TRENDS and MAJOR STORIES from 2021:
2022 PREDICTIONS:
AARON’s PREDICTIONS
BRIAN’s PREDICTIONS
FEEDBACK?
Computers break. Software has bugs. Cloud services fail. And yet we don’t deal with failures very well. Why don’t we have better Plan B’s, for both personal and business uses of cloud?
SHOW: 576
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WHY DO WE EXPECT SO MUCH FROM COMPUTERS?
While we have automated testing, test coverage, SLAs, redundancy best practices, etc - We still really don’t know when computers and software will break. So why do we get so frustrated when it happens, instead of having backup plans?
SHOULD WE LOOK AT TECHNOLOGY FAILURES AS THE WORLD TRYING TO TELLING US SOMETHING?
FEEDBACK?
Gil Hoffer (@gilhoffer, Co-Founder / CTO @salto_io) talks about the challenges of managing and integrating SaaS applications, the blurring line between business and technical engineer, and software supply-chain for SaaS integrations.
SHOW: 575
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Topic 1 - Welcome to the show. You have a broad background in engineering and entrepreneurship. Let’s talk about your background and what led you to create Salto.
Topic 2 - There is a big trend happening, where companies are using more and more technology outside of the “central IT” groups. This includes quite a bit of SaaS usage. But it also requires more than just vanilla SaaS. Let’s talk about this concept of a “business engineer”.
Topic 3 - How often do SaaS applications need customizations? How often does a business application require integrations across multiple SaaS services?
Topic 4 - Walk us through a day in the life of a business engineer, and what’s involved in some of the integrations? How much is being able to code, and how much
Topic 5 - Integrations can be complicated, not only to build, but also to maintain. How does Salto simplify the creation and life cycle of these integrations?
Topic 6 - Salto is available as OSS, software and SaaS. What seems to be the best usage model for certain use-cases or types of businesses?
FEEDBACK?
AWS had an outage in a region and many people responded. What did we learn about outages, responses, and dealing with cloud services going forward?
SHOW: 574
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CLOUD OUTAGES ARE A PART OF USING A SHARED SERVICE
This week another major cloud service had an outage. They happen frequently enough, for some period of time (usually measured in hours), that we really notice them and then move on. Their impact is felt across many sites and dependent services,
SOME THOUGHTS ON RESPONSES TO CLOUD OUTAGES
FEEDBACK?
We review the new strategic directions of AWS under CEO Adam Selipsky, as well as major announcements from AWS re:Invent 2021.
SHOW: 573
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BIG ANNOUNCEMENTS:
FEEDBACK?
In 2015, Dell acquired EMC and VMware for a record-setting $67B. In 2021, Dell spun out VMware as an independent company. What lessons were learned?
SHOW: 572
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WHAT WERE THE GOALS OF THE DELL ACQUISITION OF EMC?
Dell was trying to recover from having to go private in 2013. Wanted to consolidate the Enterprise infrastructure market. Wanted to have a one-stop-shop from desktop to enterprise infrastructure to security to applications to hybrid cloud.
WHAT VALUE DID DELL BRING TO VMWARE?
FEEDBACK?
Shanea Leven (@ShaneaLeven, Founder/CEO @CodeSeeio) talks about enabling development teams to better understand the complexities and interdependencies of their code throughout the lifecycle.
SHOW: 571
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Topic 1 - Welcome to the show. You’ve had an interesting background prior to CodeSee. Tell us a little bit about your journey, and what led you to create CodeSee.
Topic 2 - Let’s start by talking about developer productivity and the types of things that create bottlenecks for teams. Help us understand where CodeSee fits into the flow of how applications are built and lifecycled.
Topic 3 - Teams change, teams grow, projects evolve over time. How does CodeSee help teams improve the learning curve of what’s in code and how to understand what came before them?
Topic 4 - Walk us through a day, or week, in the life of application teams that are working with CodeSee and without CodeSee. I’ve seen you use the term “Continuous Understanding” - what does that mean to you?
Topic 5 - Development teams have all sorts of tools in front of them. What are some of the interesting ways that CodeSee integrates with the other tools that are commonly put in front of them? GitHub recently called out a nice integration.
Topic 6 - We talk alot about developer productivity. How do you find companies measuring improvement when using CodeSee?
FEEDBACK?
You’ve been hearing about Web3 and metaverse and crypto, and everything is changing. But is that a good thing or a bad thing? Let’s yell at the metaverse and see what echoes back.
SHOW: 570
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WHY IS EVERYONE TRYING TO CHANGE THE EXISTING INTERNET?
The metaverse is part of a bigger evolution called “Web3”, which is looking at new interaction models, new payment models, and new ways to represent life in a fully digital world. How did we get here? What lessons from the past can we learn?
HOW MIGHT THE METAVERSE CHANGE THE INTERNET, FOR GOOD OR BAD?
FEEDBACK?
Jim Walker (@jaymce, Principal Product Evangelist at @CockroachDB) talks about how serverless has moved from compute to backing data services, and focuses on improving application developer productivity.
SHOW: 569
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Topic 1 - Welcome to the show. Let’s start by talking a little bit about your background, and where you focus your attention at Cockroach Labs. Give us a quick overview of CockroachDB.
Topic 2 - We’ve covered “Serverless” quite a bit on the show, mostly focused around compute services, but there seems to be a growing trend around serverless as it relates to data services. Can you give us some background on what’s driving these new capabilities?
Topic 3 - Implementations of Database-as-a-Service have been around for quite a while now. What’s new or different around service database offerings?
Topic 4 - CockroachDB is fairly unique in its ability to span locations (e.g. in essence be multi-cloud). Help us connect the dots between the core elements of CockroachDB, and where the new serverless capabilities enhance that (for an application, for a DB team, for an Operations team, etc.)
Topic 5 - What are some of the new use-cases that can potentially be unlocked with the new serverless offering?
Topic 6 - How do you expect the new serverless offering to change the way that application teams and operations teams interact with systems going forward?
FEEDBACK?
Many people ask us about technical product marketing - the skills needed, the challenges, the career rewards - and how to work in those jobs. This week we explore what’s needed to be a successful technical product marketer.
SHOW: 568
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HOW DOES SOMEONE BECOME A TECHNICAL PRODUCT MARKETER
Is marketing just lies and double-speak? If a product or technology is great, does it even need marketing? These are the questions that people often ask themselves before exploring roles that have some aspect of “marketing” in their name.
WHAT SKILLS ARE NEEDED TO BECOME A SUCCESSFUL TECHNICAL PRODUCT MARKETER
FEEDBACK?
In October and November, Microsoft hosted the GitHub Universe and Ignite 2021 conferences, focused on Developers and Cloud Computing. We review the important announcements and analyze the future directions for Azure, GitHub, etc
SHOW: 567
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Azure - Bigger Announcements
GitHub - Bigger Announcements
FEEDBACK?
Hashicorp has been on The Cloudcast more than any other company. As they prepare for their upcoming IPO, we look back at what makes them successful vs. other OSS-centric companies.
SHOW: 566
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WHAT MADE HASHICORP UNIQUE IN THE INFRASTRUCTURE SPACE?
Hashicorp was not alone in the Infra-as-Code space, or the Security space, but they have been successful in building a commercial business based on OSS projects. Let’s look at what made them unique and successful.
HOW DID HASHICORP GET HERE?
Funding - $350M | NRR 124% | Operating Margin 22%
Funding - $350M
GitLab - $179M | Gross Margin 88% | Revenue Growth (LTM) 72% |
Funding $414M | NRR 152% | Operating Margin 50%
Pivotal - $509M | Gross Margin 55% | Revenue Growth (LTM) 22% | $1.7B
Pivotal (Subscription/ARR) $300M
FEEDBACK?
Mike Rockwell (Global Head of Solutions @Megaport) talks about the evolution of Cloud connectivity, SD-WAN, SASE, and how Megaport is helping companies adapt to more needs for virtual edge networking.
SHOW: 565
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Topic 1 - Welcome to the show. Tell us about your background.
Topic 2 - Let’s begin by talking about the breadth of ways Megaport helps businesses connect to the cloud.
Topic 3 - Can you walk us through some of the various ways that businesses use to connect to the cloud and why they choose to use Megaport?
Topic 4 - Megaport recently launched a product named Megaport Virtual Edge (MVE), which helps businesses connect branches to clouds within their SD-WAN and SASE (Secure Access Service Edge) solutions. You’ve announced some major partnerships with Cisco, Fortinet, and Versa. Tell us a little bit about MVE and these partnerships and how they’ll help customers.
Topic 5 - From a bigger picture perspective, how do companies think about modernizing their enterprise WAN - do they use MPLS, do they use SD-WAN, and what role does the cloud play in their network - what considerations do they need to make?
Topic 6 - Why do you think it’s so important for businesses to enable their SD-WAN or SASE solutions for multicloud? Tell us about a sample use case.
FEEDBACK?
Many people ask us about technical product management - the skills needed, the challenges, the career rewards - and how to work in those jobs. This week we explore what’s needed to be a successful product manager.
SHOW: 564
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HOW DOES SOMEONE BECOME A PRODUCT MANAGER
Many people in the tech industry believe that they know how to build a better mousetrap. But what does it really take to be a product manager? How is the job challenging, how is it difficult, and what does it take to be successful?
WHAT SKILLS ARE NEEDED TO BECOME A SUCCESSFUL PRODUCT MANAGER
FEEDBACK?
Nick Davey (Sr. Product Manager, Cloud & SDN @JuniperNetworks) talks about the evolution of SDN networking for Kubernetes, cross-cluster and cross-cloud networking, and Tungsten Fabric.
SHOW: 563
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and where you focus at Juniper?
Topic 2 - There’s lots of talk about Hybrid Cloud and Multi-Cloud, but it’s often in the context of Kubernetes or an application running in multiple places. Let’s talk about how we interconnect clouds.
Topic 3 - How should we think about the networking interconnections between end-users, the service providers, and the public cloud providers?
Topic 4 - Help us understand the similarities and differences between the orchestration of workloads (e.g. containers and Kubernetes) and orchestration of networks (e.g. SDN, Contrail, etc.). Who needs to know about each system?
Topic 5 - How does this all evolve as things like Kubernetes, KubeVirt (VMs) extend out to the edge?
Topic 6 - What are some of the newer use-cases or application-types that are starting to push the need for new cloud networking technologies?
FEEDBACK?
While developers are the new kingmakers, it’s rare that any two companies will use the same systems, the same platforms, or the same models to enable developers to be successful. Let’s explore why.
SHOW: 562
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DEVELOPERS HAVE NEVER HAD MORE ACCESS TO TOOLS
Between open source tools, improved local hardware (laptops), online tutorials, free tiers, cloud-based tools, SaaS-based platforms and public repositories, there has never been a better time to be an application developer. Yet we still hear complaints about developer productivity, and developers feeling like too many things are in their path to success.
AND DEVELOPERS HAVE NEVER HAD MORE ACCESS TO PLATFORMS
FEEDBACK?
Ken Meyer (EVP & CIO Consumer Technology at Truist Bank) talks about the 2yr transformation of Truist Bank (SunTrust and BB&T), managing multiple tech stacks, enabling a multi-cloud strategy, and internal communications and learnings.
SHOW: 561
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Topic 1 - Welcome to the show. Let’s start by talking about your background, and the scope of the transformation you’ve been driving at Truist Bank.
Topic 2 - Beyond the merger of two large banks, how did you think about the business challenges that you were trying to solve?
Topic 3 - Walk us through how you tried to rationalize two technology stacks, and how you’ve been planning for a more cloud-centric future?
Topic 4 - Every transformation has to balance existing (“old”) and new. How did you work through priorities, leveraging new technologies, maintaining existing systems, learning curves, etc?
Topic 5 - Have you been able to create any unique ways to manage through the transition of so many technology stacks?
Topic 6 - How are you measuring progress, success, alignment to business goals, etc?
Topic 7 - How are you communicating the evolution to the teams, as well as management and stakeholders? Any lessons learned?
FEEDBACK?
Many tech workers are struggling with the repetitive effects of the COVID pandemic (work from home, constant video calls, longer hours, etc.). But there’s never been a better time to explore new ways to be a “maker”.
SHOW: 560
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CREATIVITY GETS THE BRAIN ENGAGED
We (The Cloudcast) frequently discuss the need to have a “learning mindset” in the IT industry, since the only constant is changing technologies. But learning requires a specific time commitment and a specific type of mind engagement. It’s important, but at times can feel very mentally draining. Finding a way to be creative, to be a “maker”, can be a good balance to learning.
MAKERS FIND, ENGAGE and EXPAND via COMMUNITIES
FEEDBACK?
Kevin Hoffman (@KevinHoffman, CTO at @Cosmonic_com, wasmCloud creator) talks about WebAssembly and wasmCloud, and how this new development paradigm can simplify application development.
SHOW: 559
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Topic 1 - Welcome to the show. Let’s start by talking a little bit about your background, and what led you to create wasmCloud.
Topic 2 - Let’s begin by talking about Webassembly. What is it (a language, a framework??), and what problems does it solve for developers?
Topic 3 - Let’s talk about wasmCloud. Once you’ve built something leveraging Webassembly, how does it interact with wasmCloud?
Topic 4 - Everything in application development tends to be a progression from something prior. How did Webassembly evolve? Docker’s Solomon Hykes said that if wasm+wasi existed 7yrs ago, he never would have created Docker.
Topic 5 - Yesterday was WASM Day at Cloud Native Con. What were some of the highlights and focus areas?
Topic 6 - What are some of the early uses and usage patterns of Webassembly?
Topic 7 - What are some of the ways to get started with Webassembly and wasmCloud?
FEEDBACK?
While many computing systems mirror systems in nature, one aspect that doesn’t is technical debt. The majority of spending is maintaining the existing systems, and yet very little attention is paid to how to reduce the on-going costs.
SHOW: 558
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IN NATURE, THE FALL BEGINS THE PROCESS OF RESETTING
In many parts of the world, Fall (or Autumn) gives us a last glimpse of the beauty of nature, but then it resets for another cycle of recuperation and regeneration. This is one of the aspects of nature that the tech industry doesn’t seem to emulate in their systems.
WE ACCEPT RESETS AND CHANGES ALL AROUND US, EXCEPT IN IT
FEEDBACK?
Jonathan Seelig (@j_seelig, Co-Founder/CEO of Ridge) talks about building the distributed cloud, remotely managing cloud resources, and the evolution of the edge.
SHOW: 557
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Topic 1 - Welcome to the show. Let’s start by talking a little bit about your background, and what led you to trying to create a new vision of “the cloud”.
Topic 2 - What types of problems exist with the current (mostly centralized) cloud architectures today? Or where are there new opportunities to rethink and introduce a new architecture?
Topic 3 - Let’s talk about the main concepts behind the Ridge architecture. How much does it borrow from your experience at Akamai, and how much of it is your team looking at the world differently?
Topic 4 - What are the core primitives of Ridge? How do companies engage with it?
Topic 5 - What are some of the near-term and long-term impacts that you expect companies would see in using the Ridge architecture vs. more centralized cloud architectures?
FEEDBACK?
Part 2 (of 2) looking at a recent example of how The Innovator’s Dilemma is playing out between the biggest clouds and the challenging upstarts.
SHOW: 556
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MAKING A MAJOR CHANGE IS ALWAYS DIFFICULT
Understanding the transition to cloud means understanding that almost everything about your technology stack and business stack will likely have to change, get re-invented, or built from scratch.
A BLUEPRINT FOR SUCCESS OR FAILURE THROUGH THE TRANSITION
FEEDBACK?
Huxlee Barbee (@huxley_barbee, Head Security Prod Mktg @DataDogHQ) talks about the challenging odds of preventing security attacks, managing configuration mistakes, scaling security through monitoring, and security feedback loops in production.
SHOW: 555
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Topic 1 - Welcome to the show. Let’s start by talking a little bit about your background, and where you focus your attention these days.
Topic 2 -According to many reports, configuration mistakes tend to lead to the most security breaches. Who is typically making the mistakes?
Topic 3 - Can you dig deeper on the dynamics between security on the one hand and developers and SRE engineers on the other hand?
Topic 4 - So what are some of the strategies and tactics for achieving optimum balance between these opposing interests?
Topic 5 - Should we think about platform (infra) security apart from workload (application) security?
Topic 6 - Can you talk to us about the differences between applying security to things that happen pre-production (e.g. CI/CD, software-supply chains) and things that happen in production?
FEEDBACK?
Part 1 (of 2) looking at a recent example of how The Innovator’s Dilemma is playing out between the biggest clouds and the challenging upstarts.
SHOW: 554
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ONE COMPANY’S PROFIT IS ANOTHER COMPANY’S OPPORTUNITY
As AWS transitions from long-time leaders to a new leadership team, many industry upstarts are looking for ways to pick away at their most profitable (and customer-problematic) services, with new capabilities that may unlock completely new business models for companies.
CHEAPER NETWORKING, AGILE COMPUTING, and NEW COMPANY MODELS
FEEDBACK?
Josh Stella (@joshstella, Founder/CEO of @FugueHQ) talks about the differences between cloud security and data center security, the value businesses place on security implementations, and enabling governance in the cloud.
SHOW: 553
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Topic 1 - Welcome back to the show. It’s been a complicated world for security the last 12-18 months. Tell us a little bit about your background and the State of Cloud Security 2021 report.
Topic 2 - Between the SolarWinds hack, Microsoft database hack and daily breaches of 100M users, where are we with security these days? It seems as messy as ever, and yet it also seems like people aren’t that concerned anymore.
Topic 3 - Misconfiguration still seems to be a major issue. Isn’t Automation and Infra-as-Code and GitOps catching on? Policy-as-Code.
Topic 4 - We now have DevSecOps, which combines all these functions together. Who is ultimately responsible for Security?
Topic 5 - When companies move to the public cloud, they still have regulatory requirements. The cloud providers have “certifications” (e.g. SOC 2, NIST 800-53, GDPR, and HIPAA, so are they responsible now?
Topic 6 - How do we start matching the level of motivation the bad guys (hackers) have with the level of concern companies should have?
FEEDBACK?
COVID has changed the world over the past two years. But how many of the technology changes we’ve made will remain, and which ones may revert back to pre-COVID standards?
SHOW: 552
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CLOUD GROWTH THROUGH GLOBAL PANDEMIC
This week I had a discussion about the amount of change that happened over the past 18-24 months and whether or not that's normal (across industries)?
WHAT STAYS, WHAT CHANGES, and WHY?
FEEDBACK?
Michael Cucchi (VP of Product @PagerDuty) talks about the challenges of increased hours, more frequent incident responses and overall tech burnout as a result of the 2020-21 pandemic.
SHOW: 551
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Topic 1 - Welcome to the show. Tell us a little bit about your background.
Topic 2 - PagerDuty recently published the 2021 State of Digital Operations report. What were some of the high-level takeaways?
Topic 3 - Obviously the pandemic has disrupted where people work for the last 18 months. But what are some of the other factors that are causing so much disruption for Operations teams?
Topic 4 - We’re seeing the number of critical incidents per month increase (average 105/month). Do you think that’s more a factor of companies having to change so much so quickly, or technical debts just continue to accumulate and the overall foundation is less stable?
Topic 5 - There are tools (ChatOps) that are augmenting how we collaborate, but do you think the lack of face-to-face interactions between teams is causing some of the increased challenges we’ve seen this past year?
Topic 6 - Any tips or tricks that you can give to Operations teams that are trying to manage this increased workload and may be struggling to keep up, or find the right balance between life and work?
FEEDBACK?
The transition of @MongoDB from an open source project to commercially successful public company to cloud provider has been an interesting transition. One that many other software companies are looking to emulate.
SHOW: 550
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FROM OPEN TO COMMERCIAL TO IPO TO CLOUD
Many software companies are trying to make the evolution from customer-operated to cloud-operated business models. MongoDB is an early lighthouse is showing the blueprint for success.
CHANGING (OR GROWING NEW) MARKETS IS VERY DIFFICULT
FEEDBACK?
Ev Kontsevoy (@kontsevoy, Cofounder/CEO @GoTeleport) talks about the state of the art in remote management, especially for Kubernetes environments, and how Teleport simplifies security for remote access.
SHOW: 549
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Topic 1 - Welcome to the show. Tell us a little bit about your background and what led you to create Teleport.
Topic 2 - Today we’re going to dive into Teleport, but we’d like to learn a little bit about the evolution of the company, as it didn’t begin as Teleport.
Topic 3 - For better or for worse, we now work in a very distributed world. Between workers being everywhere, and applications being both on-premises and in the public cloud, what sort of remote management challenges does this create?
Topic 4 - From a technology perspective, how does Teleport work?
Topic 5 - Teleport is made up of access to Servers, Kubernetes, Applications and Databases. How much does remote access change based on the target, or the team/person accessing it?
Topic 6 - What are some of the ways that Teleport makes things easier to manage remotely?
FEEDBACK?
There’s been quite a bit of debate recently on whether or not to stay in a role, look around for something new, or just quit tech all together. What’s the right choice? Let’s explore some options and strategies.
SHOW: 548
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THE COVID PANDEMIC HAS CHANGED A LOT OF PEOPLE’S PERSPECTIVE
Remote work; lots of job prospects, and some new perspective on life has many people considering alternatives to their current situation.
SO SHOULD YOU STAY, LOOK FOR SOMETHING NEW, OR QUIT ALTOGETHER?
When to Stay
When to Look Around
When to consider quitting (usually as a last resort)
FEEDBACK?
David Hill (@davidhill_co, Product Strategy, Office CTO) and Sam Nicholls (Public Cloud Principle) @Veeam talk about the evolution of managing data in the cloud, and backup and security strategies.
SHOW: 547
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Topic 1 - Welcome to the show. Tell us a little bit about your backgrounds.
Topic 2 - We live in a world of software, and clouds, and ransomware attacks and security threats and frequent changes to applications. Let’s start by talking about the big picture of what backup looks like these days.
Topic 3 - In a world that’s becoming increasingly more DevOps-centric, who now owns all of the elements around backups (testing plans, compliance, retention and cost-mgmt, etc.)
Topic 3a - What are some of the unique things Veeam does to make things simpler for those teams?
Topic 4 - We used to live in a world of redundant, cold hardware in a remote facility, and truck rolls to Iron Mountain, and manual steps. What has public cloud and automation done to the backup landscape?
Topic 5 - How does the economics change now that public cloud is such a critical piece of backup strategies? (saving data, faster recovery times, agility, etc.)
FEEDBACK?
The next 12-18 months are going to be all about changes, chaos and a three-ring circus between the major cloud providers. The status quo is likely going to change, as plenty of new names and faces, and big money, try to steer these giant ships.
SHOW: 546
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ARE THE BIG CLOUDS TOO BIG TO DISRUPT?
It’s very difficult to sustain success in business, especially in highly competitive markets. And the market dynamics of today are ripe for change.
HOW DOES CHANGE HAPPEN FOR THE MARKET LEADERS
FEEDBACK?
Aaron and Brian discuss how the on-going pandemic is creating a permanent habit of working remotely, and the challenges of trying to learn technology with less free time.
SHOW: 545
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Topic 1 - Origin story of The Cloudcast (brief)
Topic 2 - It’s now been 529 days since the world shut down (in the US). How many Zoom calls have you attended in that time?
Topic 3 - “It can take anywhere from 18 to 254 days for a person to form a new habit and an average of 66 days for a new behavior to become automatic.” What new, work-related habits have you formed?
Topic 4 - How do you expect people to keep up with new technologies?
Topic 5 - We’re at a weird stage, where lots of people say that they want to work-from-home (full or part-time), for various reasons (e.g. avoid commutes, cube-mates chews too loud, etc.), but also claim to be more burned out. Do you think people will take the time to learn new stuff?
Topic 6 - Has the pandemic changed anything about how you’re effective? Do you think it’ll be permanent, or do you still have the “we’ll get back to normal” mindset?
Topic 7 - Any tips or tricks to be an effective remote worker and tech leader?
FEEDBACK?
Security has been in the news quite a bit lately, both for failures and funding. But does security even matter anymore? Nobody knows.
SHOW: 544
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DOES ANYONE ACTUALLY CARE ABOUT SECURITY?
“This is the worst cloud vulnerability you can imagine.”
WHAT IS THE PENALTY FOR BEING BAD AT SECURITY?
The State of Cloud Security 2021 Report highlights several alarming facts, including:
Every company makes security a massive part of every purchasing decision. And yet the market doesn’t seem to do anything when a massive breach happens. How is this still the state of security?
FEEDBACK?
Jason Warner (@jasoncwarner, MD @redpointvc), a veteran of GitHub, Heroku and Canonical, talks about the process and challenges of hiring a VP of Engineering.
SHOW: 543
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Topic 1 - Welcome to the show. Tell us a little bit about your background prior to Redpoint VC and what you’re now focused on in the VC world.
Topic 2 - Let’s start with “Why do you need to hire a VP of Engineering?” When does it matter as an early-stage startup, and why does it matter when a company is larger? {high leverage}
Topic 3 - What are you looking for in that hire? What is your process for creating a potential list of candidates? What criteria are most important for you to evaluate? {curve bender}
Topic 4 - We hear a lot about “engineering interviews” (technical). How much of that is involved in your hiring process, and how are you measuring the other disciplines that are needed for this role?
Topic 5 - If you’re hiring from the outside, how much do you involve the engineering and product teams, and how do you think about the value of internal-knowledge vs. external-knowledge?
Topic 6 - Once you identify the candidate, what steps do you take to encourage early success? How do you measure on-going activities?
Topic 7 - What advice do you have for people that are interviewing for these roles?
FEEDBACK?
Cloud Computing has been around for more than a decade. It has generated tremendous growth and reshaped the tech industry. But is the “Cloud Honeymoon“ about to be over?
SHOW: 542
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WHAT HAPPENS IF THE HONEYMOON IS ACTUALLY OVER?
A recent article claimed that (public) Cloud Computing is moving into the next phase of maturity, and it will cause challenges for “the big three” cloud computing companies (AWS, Azure, GCP).
WHAT HAPPENS NEXT, AS CLOUD COMPUTING MOVES INTO THE NEXT PHASE?
MARKET DYNAMICS
FEEDBACK?
Guillermo Rauch (@rauchg, CEO at @vercel) talks about simplifying life for front-end developers, the Next.js JavaScript framework, and the balance between great developers, great teams and great collaboration.
SHOW: 541
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Topic 1 - Welcome to the show. Tell us a little bit about your background as a developer and entrepreneur. How did you eventually get to be leading Vercel?
Topic 2 - Vercel is a platform that’s designed to make life better for front-end developers. As a developer, how do you get in the head of what other developers want and need?
Topic 3 - With so many choices of languages, frameworks, clouds, etc., what do you find are the most important things about your platform to focus on?
Topic 4 - Is the goal to create great developers, or great collaborative environments, or do you primarily focus on the end result (e.g. great websites) and work backwards?
Topic 5 - Let’s talk about Next.js and why it’s grown in popularity with developers.
Topic 6 - What are some of the areas that are evolving or exciting for front-end developers over the next couple years?
This time of year, many people in the tech industry look to change jobs. What are some tips and tricks if you’re looking for roles in Cloud Computing?
SHOW: 540
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LEARNING CLOUD COMPUTING:
Here are some great places to begin your cloud journey, if you're interested in getting hands-on experience with the technology, or you'd like to build your skills towards a certification.
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WHY DO PEOPLE CHANGE JOBS THIS TIME OF YEAR?
Many companies are in Q3/Q4. Oftentimes they are re-adjusting for the year, or planning for the next year. The fall trade shows (VMworld, re:Invent, etc.) are happening.
TECHNICAL SKILLS, PEOPLE SKILLS, and PICKING PRIORITIES
FEEDBACK?
Simon Crosby (@simoncrosby, CTO @Swim) talks about how to understand the new business models and application uses of data capture and analytics at the edge.
SHOW: 539
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Topic 1 - Welcome back to the show. Former founder of XenSource and Bromium, now the CTO at Swim. You’ve always been at the forefront of solving complex challenges, so where is your focus these days?
Topic 2 - We’ve been covering “real-time” with a number of guests this year, but we don’t always connect the technology to the business outcomes. Where are we today, as an industry, of connecting this more fast-moving data with our ability to understand it in the context of business?
Topic 3 - As you’re seeing real-time data and persistent data mixed together, how are those teams organized for success (or failure)?
Topic 4 - What are some of the common misperceptions that you see about how to best handle either data at the edge, or streaming data?
Topic 5 - Swim is helping companies create real-time representations of their environments. What are some of the unique capabilities that you’ve seen this enable for companies?
Topic 6 - How are some of the most important things that companies can do to enable the opportunity with real-time data?
FEEDBACK?
There’s lots of talk about application migration and modernization, often in the context of digital transformation. But what all is involved in an application transformation, and how do you measure success?
SHOW: 538
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WHY DO COMPANIES MODERNIZE OR MIGRATE APPLICATIONS
When we look at Application Modernization or Migrations, it’s too easy to look at the technologies involved. But what is the business motivation for the change?
HARD COSTS AND SOFT COST CONSIDERATIONS OF MODERNIZATION
FEEDBACK?
James Labocki (@jameslabocki, Sr. Dir. Product Mgmt @RedHat) talks about Application Modernization and Migrations, the Konveyor OSS community, and moving apps towards cloud-native.
SHOW: 537
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Topic 1 - Welcome to the show. Tell us a little bit about your background and how you got focused on Application Modernization?
Topic 2 - Let’s begin by talking about the basics of Application Modernization and Migration. How do companies think about it, rationalize it, and ultimately act on it?
Topic 3 - There are many ways to modernize applications. Let’s talk about the Konveyor community and the associated projects.
Topic 4 - Walk us through some of the experiences you’ve seen or heard from companies going through these migrations.
Topic 5 - What are some of the lessons learned over the past year of focusing on this?
Topic 6 - How can people get engaged with the Konveyor community?
VC investment has been skyrocketing lately, but why? Let’s discuss some of the trends that are driving bigger investments in today’s startups.
SHOW: 536
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WHEN AN A-ROUND IS THE NEW C-ROUND
Why is so much money being invested by VCs over the last 12 months, and what trends are pushing them to make bigger bets?
LET’S FOLLOW THE MONEY AND THE NUMBERS
FEEDBACK?
Christian Hernandez (Sr.Principal Tech Mktg Mgr @RedHat) talks about how GitOps works, it's relationship with DevOps, how it's implemented, and applying it to Infra and Apps.
SHOW: 535
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Topic 1 - Welcome to the show. Tell us a little bit about your background and how you got focused on GitOps?
Topic 2 - Let’s begin by talking about the basics of GitOps. What is it, and what problems is it trying to solve?
Topic 3 - Let’s walk through a day in the life of how GitOps is actually used? Is it infrastructure specific, or can it also be used for applications, security, etc.?
Topic 4 - What are some of the common ways that companies get started using GitOps? Do they typically have to create a GitOps team, or is it an extension of existing groups/skills?
Topic 5 - Is GitOps specific to a certain technology (e.g. Kubernetes) or a specific type of application (e.g. 12-factor), or can it be applied to a wider set of technologies?
Topic 6 - What are some of the best resources you’ve found for getting started or being successful with GitOps?
FEEDBACK?
Your leadership states that you’re no longer in an <xyz> company, but instead you’re now an innovation company. How will that transition play out over the next few years?
SHOW: 534
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SO THE BOSS DECIDES THAT YOU’RE AN INNOVATION COMPANY
For large companies, how do you manage a major transformation, which extends across both technology and culture?
WHAT WORKS, WHAT BREAKS, WHO STAYS and WHO LEAVES?
Gracely’s Theorem #2 - Digital Transformation is drawing a straight line between your company and your customers, via the Internet.
FEEDBACK?
John Pritchard (@indiapeloale, VP of Product & DevEcosystem @Okta) talks developer concerns with authentication and identity, and how to manage 3rd-party integrations and cloud services.
SHOW: 533
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Topic 1 - Welcome to the show. Tell us about your background.
Topic 2 - Let’s begin by talking about the breadth of ways that Okta can now secure things for companies, applications, and developers. How do the pieces from Okta and (previously Auth0) fit together?
Topic 3 - As an application developer, where and when do I need to think about identity and authentication, and when is it a function of the infrastructure?
Topic 4 - Can you walk us through some common access and application patterns, so we have a better understanding of how many places that authentication, identity, access-mgmt come into play?
Topic 5 - From a bigger picture perspective, how do companies think about ownership and operations of these functional areas - do they own it, do they offload it to the cloud - what considerations do they need to make?
Topic 6 - How do developers typically engage with your teams and products/services? Do they need to be security experts first, or do you guide them through what to own and how Okta can offload core elements?
FEEDBACK?
Comparing cloud costs between different environments can be complicated. Let’s look at the different factors that should be considered when comparing costs between clouds.
SHOW: 532
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IS IT POSSIBLE TO COMPARE COSTS ACROSS CLOUDS?
A listener was asking for some guidance on how to build some tools to help them compare costs across clouds.
COMPARING COSTS IS VERY COMPLICATED, BECAUSE THE USE-CASES VARY SO MUCH.
Things to Consider:
FEEDBACK?
Michael Gerstenhaber (@mikezvi, Sr.Director Prod Mgmt @Datadog) talks about the public cloud container usage, the evolution of Kubernetes adoption, application usage patterns and what's next.
SHOW: 531
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Topic 1 - Welcome to the show. Tell us a little bit about your background and your transition from engineer to product manager.
Topic 2 - Let’s talk out container usage in the public cloud. Beyond the rapid pace of growth/usage, what trends are you following the most closely?
Topic 3 - What are some of the unique things that you have to do to monitor container usage, or provide unique data insights to containerized applications?
Topic 4 - We were surprised that only 50% of container usage is associated with Kubernetes. It’s been the de facto standard for the past several years. What else is orchestrating containers, or is it lots of one-off containers?
Topic 5 - Large clusters are dominated by large nodes. That seems somewhat counter-intuitive. What do you think drives this pattern?
Topic 6 - Lots of users are running older versions of Kubernetes. The CNCF has moved back to 3 releases a year. Do you expect that we’ll see longer life cycles supported in the future?
Topic 7 - Since the report was released, are you beginning to see any new trends that people should be keeping an eye on?
FEEDBACK?
Since Satya Nadella became CEO in 2014, the transformation of Microsoft has been incredible. Let’s explore how he evolved the company from many previously missed opportunities.
SHOW: 530
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AREAS OF STRUGGLE FOR MICROSOFT pre-2014
AREAS OF TRANSFORMATION UNDER SATYA NADELLA (since 2014)
FEEDBACK?
Neil Thompson (@teachthegeek, Teach the Geek) talks about educating geeks and engineers in all fields of STEM about how to become a better communicator, storyteller and influencer.
SHOW: 529
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Topic 1 - Welcome to the show. Today we’re going to teach our audience some valuable skills. Tell us a little bit about your background.
Topic 2 - Let’s begin by talking about the intersection of geeks and how they communicate. In what ways do they feel comfortable communicating vs. uncomfortable communicating?
Topic 3 - We find that oftentimes geeks will focus more on their technical skills early in their career, and only later in their career do they recognize the importance of a broad set of communication skills. Do you find this to be a common pattern?
Topic 4 - What are some tips, tricks and ways to get better at communication? Which modes of communication (written, oral, story-telling, influence) are the most important?
Topic 5 - What are some ways that geeks can get the practice or experience needed to improve their communications?
FEEDBACK?
Any sufficiently advanced technology is indistinguishable from magic. Let’s explore if our audience can tell the difference.
SHOW: 528
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SOMETIMES SOMETHING COMPLETELY NEW COMES ALONG...
It might be 5yrs, 10yrs or 100yrs, but eventually (sometimes) things change and they might be awesome!
CAN WE EVER FIGURE OUT IF THE NEW STUFF IS REALLY NEW AND AWESOME?
GitHub CoPilot suggests lines of code or entire functions, within the context of your GitHub Codespace. It’s built on OpenAI Codex.
AWS Infinidash is designed to address the one major issue that AWS hasn’t addressed yet - using their network is really expensive and it never gets cheaper. [NOTE: Pure Speculation, might not be 100% (or 1%) correct]
FEEDBACK?
Sanjiva Weerawarana (@sanjiva, CEO of @wso2) talks about the intersection of low-code and business applications, the Ballerina language, and the WSO2 iPaaS platform Choreo.
SHOW: 527
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Topic 1 - Welcome to the show. Tell us a little bit about your background as an inventor, prior to founding WSO2.
Topic 2 - We are at a stage where every business opportunity requires new applications, and every application requires integration with multiple systems. Let’s begin by talking about your philosophy behind the Choreo iPaaS platform.
Topic 3 - How do you view the intersection between low-code visual coding and the needs to get under the hood of the code for professional developers?
Topic 4 - What are some of the common application-types or usage-patterns you’re seeing with early users of Choreo? What are some of the patterns that have surprised you?
Topic 5 - Organizationally, do you see the iPaaS platform as being operated by an integrated team, or did you design it to be flexible about which teams/groups are engaged with or around the platform?
Topic 6 - There is quite a bit of intelligence and self-service built into the platform. Where do AI-driven guidance and self-service marketplaces fit into the way developers do their day-to-day jobs?
FEEDBACK?
We get a lot of questions from our audience each week, so we thought that it would be useful to answer some listener questions that aren’t easily answered during one of the podcasts.
SHOW: 526
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CLOUDCAST LISTENER QUESTIONS
Thank you for all the questions. Send them to [email protected]
CLOUD GROWTH, PEOPLE MOVEMENT, OPEN SOURCE TRENDS
Question 1 - Do you expect to see any significant changes to the top public clouds over the next few years? - Sam A.
Question 2 - How is the open source world keeping up with the public cloud? - Melissa L.
Question 3 - Any opinions on the better way to reduce technical debt - lift and shift apps to the cloud, or modernize existing apps? - Sanjay R.
Question 4 - Is the recent consolidation in the IT training market a good thing or a bad thing? - Thomas A.
Question 5 - Are you seeing any post-COVID trends accelerating or gaining more traction? - Michelle T.
Question 6 - Does it seem like less people are making big money after working for a tech startup than in the past? - Nadir M.
FEEDBACK?
Brandon Whichard (@@bwhichard) joins us to talk about the @awscloud leadership transition, the future of @VMware, developer preferences, the return of live events, and OSS licensing strategies.
SHOW: 525
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Topic 1 - Welcome back to the show. How are things going over at Software Defined Talk?
Topic 2 - Following a legendary leader has historically been very difficult. Do you foresee any issues with the transition from Besos to Jassy, and Jassy to Selipsky at Amazon/AWS?
Topic 3 - Has any tech company been more influential, and yet not completely controlled their own destiny than VMware?
Topic 3a - How do we bring gambling to the tech industry? The stock market moves too slow and too many interesting companies are private. For example, can we bet on the next ransomware target, or the next acquisition, or the next company to claim to be Observability?
Topic 4 - Is there a market segment more fragmented than “tools for developers”? There’s the “everyone is recreating Heroku” crowd; the “Serverless or die!” crowd, the “VSCode + GitHub” crowd, the Jamstack crowd, the iOS vs. Android crowd, Data Scientists crowd, etc...
Topic 5 - Between Clubhouse collapsing and all virtual events being snoozefests, has the last year essentially killed our desire in tech to get together in anything resembling “in person”?
Topic 5a - What are the lasting and fading changes from the pandemic?
Topic 6 - Does it make complete tech-karma sense that the only two uses of Blockchain have turned out to be cryptocurrencies and NFTs?
Topic 7 - We’ve seen a number of “OSS companies” try and change their licensing model to deal with competitive challenges from the public cloud. What do you predict will be their next move? Did that previous move do anything?
Topic 8 - How disappointed are you that (seemingly) no big tech company took advantage of their growing stock price to take over their market via acquisitions?
FEEDBACK?
A common question we often hear is, “How to improve our adoption rate of new technology?”
SHOW: 524
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WHY DO WE HAVE ALL THESE IN-THE-MIDDLE JOBS?
DevRel, Advocates, Evangelists, Strategists. We’ve all heard about these job titles, but what do people in those roles actually do? And are they necessary?
WHAT DO DEVREL, ADVOCATES, EVANGELISTS, TECHNICAL MARKETERS, STRATEGISTS DO, AND DO WE ACTUALLY NEED THEM?
FEEDBACK?
Alex Ratner (@ajratner, Co-Founder/CEO @SnorkelAI) talks about Snorkel’s evolution from Stanford AI Labs, the challenges of labeling data for AI modeling, and simplifying how AI applications can be built.
SHOW: 523
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Topic 1 - Welcome to the show. Tell us about your background, the origins of the company, and a little bit about the founding team.
Topic 2 - Let’s start by framing the day in the life of a data scientist. There’s raw data, there’s a data sorting/organizing process, there’s model building, there’s results and analysis, and the cycle continues, etc. What parts are solved problems, what parts are commoditized, and where is there still room for improvement?
Topic 3 - Now that we understand today’s AI/ML/DataScience landscape, let’s talk about how Snorkel Flow and automated data labeling is able to evolve those environments
Topic 4 - Application Studio seems like the intersection of Low-Code and Industry-specific templates and the Python toolkit that data scientists understand. Walk us through the mindset of today’s data scientists in how they think about the “developer” part of their jobs.
Topic 5 - What are some of the frequent use-cases or business problem areas that you’ve seen drive early adoption of the Snorkel platform?
Topic 6 - Where do you see Snorkel fitting into the broader ecosystem of AI capabilities that companies may already have in place?
FEEDBACK?
For more than 10 years we’re interviewed the people that changed the tech world. What are some tips and tricks to identify which trends emerge, survive and fail?
SHOW: 522
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IDENTIFYING TRENDS TO HIGHLIGHT ON THE PODCAST
VC TRENDS vs. TECHNOLOGY TRENDS vs. CUSTOMER BUYING TRENDS
FEEDBACK?
Rob Parsons (Practice Director, Network and Integrated Security, Insight Enterprises) talks about advances in edge computing, connections to edge using 5G, and CBRS (Citizens Broadband Radio Service) as an emerging use case.
SHOW: 521
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Topic 1 - Welcome to the show. Before we dive into today’s focus, tell us about your background and how you’ve come to focus on CBRS.
Topic 2 - Let’s talk about the basics of CBRS. What are the underlying technologies, how does it work?
Topic 3 - What are some of the most common use-cases for CBRS technologies? What are some of the problems it solves that can’t be solved with 5G/LTE or WiFi?
Topic 4 - What are some of the design considerations that companies need to make in deploying and maintaining CBRS systems?
Topic 5 - Is there an ecosystem of applications that are specifically built to run on CBRS systems, or are they more specific to the use-case (e.g. municipalities, manufacturing, etc.)?
Topic 6 - How much of a learning curve does CBRS present to teams that have networking and security background?
FEEDBACK?
While there are scenarios where public cloud is much less expensive than data centers, there are times when it’s much more expensive. Is repatriation a viable way to manage cloud costs?
SHOW: 520
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ARTICLE QUOTES:
Repatriation results in one-third to one-half the cost of running equivalent workloads in the cloud
You’re crazy if you don’t start in the cloud; you’re crazy if you stay on it.
infrastructure spend should be a first-class metric
THE CASE FOR REPATRIATION
THE REALITIES OF REPATRIATION
FEEDBACK?
Gary Hoberman (@GaryHoberman, Founder / CEO of @Unqork) talks about No Code vs. Low Code, Bringing No Code into the Enterprise, and evolving industry experience.
SHOW: 519
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SHOW NOTES:
Topic 1 - Welcome to the show. Before we dive into today’s topic, let’s talk about your background and what motivated you to found Unqork.
Topic 2 - There are a ton of ways that some technologies get positioned as silver bullets or catch-all. First of all, how do you think about this space from the perspective of a business user?
Topic 3 - Let’s talk about the distinction between “low-code” and “no-code” and how the tradeoffs or differences actually impact users of the system.
Topic 4 - With systems like these, there is an expectation that the system has quite a bit of knowledge, which creates these “highly opinionated” workflows. You’ve worked at large companies, which also have opinions based on existing culture or experience. How do you work groups through adopting these newer concepts?
Topic 5 - This segment of the market is extremely “hyped” at this stage, with lots of companies. Help us understand how to put a frame around understanding the various options that are available in the market.
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Stephen Pinkerton (@spnktn, Product Manager @datadoghq) talks about the latest trends that Datadog has observed from monitoring serverless applications in the public cloud, adoption rates, as well as how serverless is deployed along with containers
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Topic 1 - Welcome back to the show. Before we dive into the latest serverless trends, let’s talk a little bit about your background and focus at Datadog.
Topic 1a - This is the 2nd year of the State of Serverless report. Tell us about the scope and the methodology used.
Topic 2 - Let’s begin by talking about the growth (by breadth) of the overall Serverless market. Who is using serverless, and where are they consuming it from?
Topic 3 - Your data shows that AWS Lambda is evolving in a couple different ways - both shorter lived usage (average) and involved in a broader set of use-cases (via Step Functions). It sounds like Serverless is becoming more mainstream as it branches out.
Topic 4 - Language popularity is always an area of interest - what are the most popular languages for building serverless apps?
Topic 5 - Given how granular Lambda billing has become, and how frameworks like Serverless and Step Functions are being used, were you surprised at the low rate of automation around serverless functions?
Topic 6 - This year it seems like Edge use-cases for Serverless have really grown. I’d expect this to continue as we’re seeing both CloudFlare and AWS recently expanding their Serverless edge capabilities within their CDN offerings.
FEEDBACK?
The tradeoff between building more features on existing platforms vs. building more new individual services is always a complex decision. Let’s look at the pros and cons of each.
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PLATFORMS vs. SERVICES vs. INCREMENTAL CHANGE
DO YOU REALLY HAVE TO MAINTAIN A SERVICE FOREVER?
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Julian Wood (@julian_wood, Sr. Developer Advocate @AWSCloud) talks about the evolution of serverless from niche to mainstream applications, and how the technology stack has evolved to a broad set of use-cases.
SHOW: 516
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Topic 1 - Welcome to the show. Before we dive into the work you’re doing with Serverless, let’s talk about your background.
Topic 2 - Let’s begin with “What is Serverless at AWS in 2021?” Sometimes it’s Lambda, sometimes it's a database, sometimes it's a CDN edge service. When is it App-Centric and when is it NoOps-centric?
Topic 3 - AWS Lambda has expanded in functionality quite a bit over the years. Walk us through how it’s evolved across languages, event-sources, functions vs. containers, etc.
Topic 4 - How do you think about Serverless use-cases? What are common usage patterns?
Topic 5 - For a while, Lambda was mostly focused within the AWS ecosystem. Is it expanding to include 3rd-party services, or custom-built tools from customers/companies?
Topic 6 - We’ve done a couple recent shows about event-driven applications. I tend to think about Serverless (or FaaS) as mostly event-driven apps. How is that space evolving?
FEEDBACK?
Technology never stops evolving. But people needs breaks to recharge, re-evaluate and re-establish goals. So how can we balance the two?
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WHY DOESN’T THE TECH-INDUSTRY HAVE AN OFF-SEASON?
HOW TO MANAGE THE LACK OF AN OFF-SEASON
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Michael Drogalis (@MichaelDrogalis, Product Manager @Confluentinc) talks about the evolution of Kafka, the challenges of data management with event-driven systems, and the ksqlDB Database.
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Topic 1 - Welcome to the show. Before we dive into this new database, let’s talk a little bit about your background.
Topic 2 - Let’s first talk about Kafka. What is it,. what does it do, and what are common use-cases that use Kafka?
Topic 3 - Kafka handles all these streams of data / events, but there are a bunch of other pieces needed to connect the data to the applications. What are those pieces, and where are their often challenges?
Topic 4 - Let’s talk about this new project - ksqlDB. It’s real-time, it’s Kafka and it’s SQL. Walk us through how it was created and the types of challenges it solves for.
Topic 5 - How is ksqlDB different from using other SQL databases?
Topic 6 - What are some of the initial ways that you’re seeing ksqlDB being used? Is it beginning to allow new use-cases to emerge?
FEEDBACK?
In honor of International Mother's Day, we focus today's show on the lessons learned from moms, and how they can impact and influence your life in tech (and beyond). Don't forget to call you mom.
SHOW: 513
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LESSONS LEARNED FROM MOMS
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Anil Kumar (@anilkumar1129, Director of Product Mgmt @Couchbase) talks about how Kubernetes has evolved to support stateful applications, enabling Couchbase to run on Kubernetes, the advantages of Operators, and NoSQL adoption models.
SHOW: 512
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Topic 1 - Welcome to the show. Before we dive into the work you’re doing with Kubernetes, let’s talk about your background.
Topic 2 - Kubernetes started with a focus on “cloud-native apps”, then it became a blurring of infrastructure. How does Couchbase see the market evolving around Kubernetes, especially as a stateful service?
Topic 3 - There is frequently a debate about whether or not to run data services on Kubernetes, or run them off-cluster. How does Couchbase view this, and what are some things that Kubernetes does to improve how Couchbase runs?
Topic 4 - Let’s talk about some of the common use-cases you’re seeing for Couchbase, whether it’s on Kubernetes, or in the cloud, or out at the Edge.
Topic 5 - Do you see any multi-cloud or hybrid-cloud use-cases where Couchbase is a good fit, or is it too difficult to span databases across clouds?
Topic 6 - What areas around Kubernetes do you see evolving to help use-cases for Couchbase (i.e. other CNCF projects, etc.)?
FEEDBACK?
Public cloud is expected to grow 23% (overall) in 2021. Is that a fast enough pace of growth, or are there still significant barriers to adoption and faster growth?
SHOW: 511
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IS THE PUBLIC CLOUD GROWING QUICKLY?
WHY ISN"T THE PUBLIC CLOUD GROWING FASTER?
FEEDBACK?
Heikki Nousiaine (@hnousiainen, Founder/CTO at @aiven_io) talks about how Aiven delivers a broad set of open source data and messaging services via the public cloud, as a managed service.
SHOW: 510
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Topic 1 - Welcome to the show. Before we dive into the work you’re doing to expand open source innovation, let’s talk about your background.
Topic 2 - Let’s talk about Aiven and the services it provides - all the most popular open source “data-centric” projects (Kafka, Cassandra, Elasticsearch, PostgreSQL, MySQL, Redis, InfluxDB, Grafana), on top of AWS, Azure, GCP, DigitalOcean and UpCloud - plus a bunch of popular integrations (logging, monitoring, authentication, etc.)
Topic 3 - How do you typically engage with customers / developers? How much work is typically needed to get those teams initially successful with a given service?
Topic 4 - How does Aiven think about the cloud “shared responsibility model”, in terms of where Aiven’s service stops and the customer's engagement starts? Who is responsible for the data?
Topic 5 - What open source projects are on your radar for adding new services?
Topic 6 - As more technology companies are migrating applications to the cloud, or creating SaaS offerings, are there opportunities for companies to partner with Aiven on the breadth of services you offer?
FEEDBACK?
As Kubernetes evolves beyond 5yrs of adoption, many say that it is becoming “boring”. So where does the popular open source project and community go next?
Garry Binder (@garrybinder, Chief Security Architect @Intel) talks about the challenges of public cloud scale, performance and security.
SHOW: 508
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Topic 1 - Welcome to the show. Before we get into today’s discussion, give us a little bit on your background and some of the areas you focus on.
Topic 2 - We’ve done quite a few shows with Intel over the years. This is where we were first introduced to how much work Intel does directly for the largest public cloud providers. Can you give us a sense of how much Intel has evolved to help the cloud providers deliver the scale and performance they do today?
Topic 3 - A few months ago we spoke about Confidential Computing. We all know that security is a challenge best solved with defense-in-depth. Can we talk a little bit about the intersection of embedded security in silicon, and being able to keep up with new performance challenges with the new Ice Lake architecture?
Topic 4 - How do we raise awareness that these native capabilities are available across all the cloud providers - AWS, Azure, Google, Oracle, etc., when software features tend to dominate the headlines?
Topic 5 - What do you see as some of the next-generation security challenges that the cloud is well-positioned to (maybe) better handle that we could in data centers?
Topic 6 - Sometimes people see Intel as being one-step removed from the technology companies they directly engage with. What are some of the ways that people can more directly engage in all the programs (developer tools, reference architectures, etc.) that Intel creates?
FEEDBACK?
Over the course of a career, you'll have to make critical decisions about jobs, managers, salaries, technical vs. business focus, and career paths. These 10 tips can help to make better decisions.
SHOW: 507
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10 Lessons for Surviving the Tech Industry
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Paige Hinckley, (Sr. Director Global Alliances & GTM @Qumulo) talks about the evolution of scalable file and unstructured data in the public cloud.
SHOW: 506
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Topic 1 - Welcome to the show. Before we jump into discussing data in the cloud, let’s talk a little bit about your background, as you’ve been at the center of several recent technology transitions?
Topic 2 - Let’s start by understanding how the use of file data has changed over the years. So many applications involve video, or huge data lakes for analytics, or massive content repositories for research. How has the scale evolved over the years?
Topic 3 - Qumulo does some very unique things around scalability and performance that are very critical for industries like media/entertainment, healthcare, research. What are some of the use cases that best take advantage of Qumulo Q Cloud?
Topic 4 - As you work with companies moving file data to the cloud, what are some of the tips and lessons you’ve seen that lead to faster success?
Topic 5 - How does Qumulo work with partners in the tech industry to bring your innovation to customers?
FEEDBACK?
The docker project evolved out of the PaaS movement, unlocking polyglot cloud-native applications. But it was only a piece of the puzzle to enable platforms, applications and a broader ecosystem. What lessons can be learned from the docker ecosystem?
SHOW: 505
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HOW DID docker/DOCKER EVOLVE?
Between 2008 and 2013, dozens of PaaS platforms emerged. Within the platform, they all had a model for allocating compute resources, mostly through the use of Linux LXC and cGroups -- what would become containers. dotCloud was the PaaS company started by Solomon Hykes that eventually became Docker.
LESSONS LEARNED FOR THE FUTURE
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Brendan O’Leary (@olearycrew, Sr. Dev Evangelist @GitLab, CNCF Board) talks about Developer Productivity, how to improve flow, integrated tool chains, and tips to improve organizational dynamics.
SHOW: 504
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Topic 1 - Welcome to the show. Software supply-chains have been in the news quite a bit lately. Before we get into that, tell us about your background and what gets you passionate about developer productivity?
Topic 2 - Let’s talk about “the State of Developer Productivity” in 2021. What are developers able to do well, and where are their big bottlenecks today?
Topic 3 - I constantly get questions of “do we fix this with better tools, or better organizations. I’m pretty sure the answer is a combination of both, but do you see one side or the other having a bigger impact?
Topic 4 - GitLab does a very good job bringing together the tools developers need across the software-supply chain. When do you see an integrated “platform” gain more adoption, and when does the developer desire for “pick our tools” tend to stay in place?
Topic 5 - Is the Solarwinds hack making a lot of companies rethink how they build software?
Topic 6 - What are some of the best tips you have to help developer teams get more efficient, more productive?
FEEDBACK?
Cloud was supposed to make computing easier, but it’s now as complicated or more complicated than legacy data centers and apps. Is there any future in a simpler cloud?
SHOW: 503
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SIMPLIFYING CLOUD
APPLICATIONS - SaaS, RPA, Low-Code and PaaS v2
PRICING - Cost Management has its own complex ecosystem
INTERCONNECTING SERVICES - Are the APIs easy enough to integrate
FEEDBACK?
Alex Hidalgo (@ahidalgosre, Director of SRE at @nobl9inc) talks about the evolution of SRE teams, implementing SLOs, and enabling AppDev and Ops teams to better manage reliability.
SHOW: 502
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Topic 1 - Welcome to the show. Congratulations on the launch of Nobl9. Before we get into that, let’s talk about your background and what got you focused on SREs and SLOs.
Topic 2 - We’ve spoken about the role of SRE quite a bit the last few years, but not as much about SLOs - and how to achieve them. Paint us some broad brush strokes about the world of SLOs today, and how they are different from SLAs or other commonly used measurements and metrics.
Topic 3 - So how do we start taking the SLO concepts and start making them actionable?
Topic 4 - How does a move to a SLO-centric model change the AppDev or the Ops teams?
Topic 5 - Is there a “low-hanging fruit” in an adoption of SLO-centric capabilities, or does it take quite a bit of top-down and bottom-up change?
Topic 6 - What’s a good way to get started with the Nobl9 platform?
FEEDBACK?
Technology leaders have many different focus areas and motivations. On today’s show, we’ll discuss three common types of leaders - Visionaries, Maintainers and Resume-Builders.
SHOW: 501
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THREE TYPES OF TECHNOLOGY LEADERS
VISIONARIES | TRANSFORMERS
MAINTAINERS | PROTECTORS
RESUME BUILDERS
FEEDBACK?
Nick Weaver (@lynxbat, VP Architecture, Innovation, Data/Analytics at @Dicks) talks about the journey from engineer to technology leader within large corporations, the challenges of leading teams during COVID, and the realities of digital transformation.
SHOW: 500
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Topic 1 - Welcome back to the show. It’s been almost two years. What are you up to these days?
Topic 2 - The last 5-6 years, you’ve really embraced moving from being a hard-core, hands-on engineer to being a leader of very large technology teams, projects and initiatives. Walk us through some of the new muscles developed, some of the unexpected, and some of the stuff you still need to figure out.
Topic 3 - When you were at Nike, you lived through a legitimate “digital transformation”, both in how the company engaged with the market, but also how you dealt with suppliers/vendors. Help us understand some of the dynamics in going through those changes.
Topic 4 - We all know lots of people on the vendor side of things, and how those dynamics work as people compete, collaborate or change companies. How does that work amongst “customers”, either in the same industry or cross-industry?
Topic 5 - You’re still a technologist at heart. What technologies are interesting to you these days?
Topic 6 - From where you are today, how would you mentor a young Nick Weaver that just did a 5 minute demo during an EMCworld keynote in 2008-2009?
FEEDBACK?
The COVID-19 pandemic will last ~18 months, but how long will the impact to the technology industry last?
SHOW: 499
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HOW WILL COVID CHANGE THE TECH INDUSTRY?
REMOTE WORK and COLLABORATION
MORE RAPID ADOPTION OF THE PUBLIC CLOUD
WHY DIDN’T THE CLOUD PROVIDERS DO MORE?
WHERE IS THE “NEXT BIG THING”?
FEEDBACK?
Ben Murray (@br_murray, Founder of SaaS CFO and SaaS Academy) talks about how to understand the financial models behind successful SaaS companies, the tradeoffs on profit vs. growth, and how to spot the health of SaaS businesses.
SHOW: 498
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Topic 1 - Welcome to the show. We don’t usually get CFOs on the show. Tell us a little bit about your background and what brought you into the SaaS world.
Topic 2 - The more we study SaaS companies, the more it seems like everyone needs to understand the financial model and associated metrics (executives, product managers, marketing, customer service, etc.). How do you go about teaching best practices to SaaS companies?
Topic 3 - Let’s talk about the core financial concepts that SaaS companies need to think about (CAC, MRR, ACV, LCV, Churn, Gross Margin, etc.)
Topic 4 - Are there some common financial patterns (metrics, ratios, etc,) to tell how a SaaS company is doing (good or bad)? If so, are there established best-practices to get them out of bad situations?
Topic 5 - Can you help us better understand why some people get excited when a SaaS company has revenue growth and loses money, and others freak out? Help us understand that in growth stages vs. stable stages. (SaaS Rule of 40?)
Topic 6 - Have you found that SaaS businesses are unique in their financial modeling, or can some of these best practices be applied to non-SaaS software businesses?
Topic 7 - You just started SaaS CFO and SaaS Academy. Give us an overview of what people will learn.
FEEDBACK?
It’s smaller computers, doing limited tasks. So why is Edge Computing so complicated, and why are there so many definitions?
SHOW: 497
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THE COMPLEXITIES OF EDGE COMPUTING
No single definition of edge, because of so many use-cases
Hardware can dictate quite a bit about edge characteristics
Networking can dictate quite a bit about edge characteristics
Security can dictate quite a bit about edge characteristics
Maintenance can dictate quite a bit about edge characteristics
FEEDBACK?
Steve Pereira (@SteveElsewhere, Value-Stream Whisperer @ Visible) talks about measuring, understanding business and technology process through Value-Stream Mapping.
SHOW: 496
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Topic 1 - Welcome to the show. Tell us a little bit about your background and how you eventually became focused on helping companies improve their Value-Streams.
Topic 2 - Let’s start by talking about Value-Streams and Mapping. What are they, why do we need them, what do they provide?
Topic 3 - Walk us through a Value-Stream-Mapping exercise with a company. What is their pre-homework? What questions do you ask? How do you keep it focused on their language?
Topic 4 - Do you need to fix everything at once, or can it be done in phases? How much of the improvement has to do with the application, and how much is adjusting existing processes?
Topic 5 - Lots of people like to compare this to Lean Manufacturing (Toyota Production System, Six Sigma, etc.). Optimize the system, design for efficient flows, empower the workers to make changes and give feedback, etc. But does this break with software, where there isn’t really an end to a production line?
Topic 6 - Once people understand it, what tends to work well and what tends to lead to on-going failures?
FEEDBACK?
Cloud Foundry was going to create an open source alternative to Heroku, as well as replace how Enterprise companies built software. But change is never easy. Looking back, what can we learn from the lessons of Cloud Foundry?
SHOW: 495
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HOW DID CLOUD FOUNDRY EVOLVE?
An open source, programmable cloud application platform (PaaS). Heroku (2007), Google AppEngine (2008) existed before Cloud Foundry (April 2011). OpenShift launched in May 2011. Apcera was launched in 2012 by Derek Collison
Many large vendors got involved once it became a foundation.
By 2016-17, most large Cloud Foundry vendors were shifting their focus to Kubernetes
LESSONS LEARNED FOR THE FUTURE
FEEDBACK?
Shira Shamban (@ShambanIT, CEO @SolvoCloud) talks about easily bringing security to CI/CD pipelines and software development, the rise of DevSecOps and "Shifting Left.
SHOW: 494
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Topic 1 - Welcome to the show. Tell us a little bit about your background, you have a very interesting journey starting in cybersecurity for the Isreal Defense Force all the way to CEO of a newly funded startup.
Topic 2 - The rise of CI/CD created some great benefits to software development, it also created some security challenges. Let’s start there, why do developers seem to have so many challenges with security, especially in production?
Topic 3 - Increasingly we hear about the concept of DevSecOps, you introduced the term “Shifting Left”. What does that mean and how does this relate to the larger concept of DevSecOps?
Topic 4 - When a developer pushes code, where is the friction from a security perspective? How does Solvo solve this problem as code is pushed and how do you integrate with the cloud providers to make sure a least-privilege model is used? You recently released a security tool for health checks of your cloud accounts? (link in the show notes)
Topic 5 - We recently raised your first round of funding completely remotely. Tell us about the experience and challenges you faced.
Topic 6 - You are passionate about empowering women and under-represented communities in our industry. Tell us about your ongoing partnerships with SheCodes, Cyber Ladies and other mentoring programs you are involved with.
FEEDBACK?
Brian looks at the recent changes in open source licensing, as it relates to managed cloud offerings, and how the perception of end-users towards free software vs. cloud services is changing.
#SundayPerspectives
SHOW: 493
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THINGS WE KNOW
THINGS THAT WILL EVOLVE
UNKNOWNS AND UNCERTAINTIES
FEEDBACK?
Joseph “JJ” Jacks (@asynchio, Founder/General Partner OSS Capital) talks about how Commercial OSS has evolved, coopetition with cloud providers, and what's next for Commercial OSS business models and communities.
SHOW: 492
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Topic 1 - Welcome to the show. For those that don’t already know you, tell us a little bit about your background, and some of the things you’re focused on today.
Topic 2 - You’ve been tracking the commercialization of open-source projects for quite a while now. What big trends have you seen evolve over the last two decades (from Red Hat to MongoDB)
Topic 3 - Even in the face of new OSS-centric offerings from the cloud providers, we still continue to see companies getting funded. What is the sentiment in the VC-communities about what the new competitive landscape looks like? Are there new rules in the game?
Topic 4 - We’ve recently seen MongoDB and Elastic changing their licensing model to SSPL. The stock of both companies continues to rise. Is what they are doing a short-term “fix” to a competitive threat, or a critical mistake? Does licensing need to evolve as a company matures?
Topic 5 - Are there fundamental shifts in how OSS companies are created and eventually operationalized happening now?
Topic 6 - Where do you see commercial OSS trending over the next 5 years, and what big changes need to happen to make those realities happen?
FEEDBACK?
Looking forward at the biggest public clouds, what are the things we are sure of, the trends we expect to evolve, and the uncertainties that will shape the next 5+ years in cloud computing?
SHOW: 491
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THINGS WE KNOW - OVERALL GROWTH OF THE INDUSTRY
TRENDS THAT WILL EVOLVE
UNKNOWNS AND UNCERTAINTIES
FEEDBACK?
Dan Lines, (@linknfg182, COO @LinearB_Inc) talks about asynchronous development for remote teams, managing business-level discussions, bringing greater transparency and accountability to projects, and identifying early signs of developer burnout.
SHOW: 490
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what brought you to be so focused on developer productivity and team agility?
Topic 2 - We want to talk about remote teams today, but before we get started, let’s talk about how much this past year has changed the day-to-day life of application development teams.
Topic 3 - You’ve spoken about Asynchronous Development (for Remote Teams) and how the pandemic sort of created the environment that has been evolving for years. Tell us about the concept and some of the things companies can do to embrace it?
Topic 4 - LinearB is a tool/platform that gives teams visibility into what’s happening with projects (status/velocity), backlogs, bottlenecks, etc. How do you think about transparency and accountability for teams, since software projects can get fairly complex?
Topic 5 - How much does it help in conversations with business leaders, who might not have as much understanding of how development teams work, to have the data trends right in front of them?
Topic 6 - You make a point that you can see “burnout” happening within teams or around individuals. What are some tips to reduce that, or address it in ways that it can lead to better long-term conditions within teams?
FEEDBACK?
OpenStack was going to create an open source alternative to AWS, as well as displace VMware in the Enterprise. But change is never easy, and some things didn't go as planned. Looking back, what can we learn from the lessons of OpenStack?
SHOW: 489
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HOW DID OPENSTACK EVOLVE?
An open source, programmable cloud infrastructure. Eucalyptus and CloudStack existed prior to OpenStack. Created as a partnership between NASA (Nova) and Rackspace (Swift).
API-driven, software-defined infrastructure
Every vendor (HW and SW) was on-board: the anti-VMware project
OpenStack Foundation was created - control was maintained by Rackspace (initially).
Focus was split on building an AWS-alternative &/or a VMware-alternative
Was it an integrated platform, or independent projects, or a combination?
What defined something as “OpenStack”? How do you upgrade OpenStack?
The scope eventually got too big - way behind an IaaS (PaaS, DBaaS, Hadoop, etc.)
VMware admins didn’t know how to use python. AWS admins wanted AWS APIs
Where were the customers?
LESSONS LEARNED FOR THE FUTURE
FEEDBACK?
Kevin Deierling (@TechSeerKD, SVP Marketing @NVIDIA) talks about the evolution of cloud and datacenter infrastructure, the new economics of computing, and how DPUs are redefining how data gets inspected and offloaded.
SHOW: 488
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a little bit about your background, and what brought you to this place where NVIDIA is now the center of cloud and the data center?
Topic 2 - Before we dive into your specific area of focus, I want to see if we can get a big picture view of where we are in 2021 with cloud & the datacenter?
Topic 3 - Everybody knows NVIDIA for GPUs (for gaming, or AI/ML/Analytics) and now ARM is part of the NVIDIA family. Your focus is on something called “DPUs”. Help us understand what a DPU is, and the core technical challenges it solves.
Topic 4 - As we see DPUs start to come into use, design/architecture-wise or SmartNICs, what are the key things that architects need to think about? And who is thinking about DPUs - infra architects, AI teams, etc?
Topic 5 - Where are the most common places where we’ll see DPUs / SmartNICs deployed today (how are they offered)? Can common applications take advantage of them, or do they need to be written to be DPU-aware? “Putting a computer in front of the computer”
Topic 6 - Give us some perspective on what the next couple of years might look like as this amount of processing and throughput becomes available, affordable and distributed to different platforms and clouds.
FEEDBACK?
As Amazon transitions to a new CEO, we look back at Andy Jassy's leadership at AWS from 2006 to 2021.
SHOW: 487
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
HOW AWS SHAPED AND RESHAPED CLOUD COMPUTING (Andy's Influence)
WHAT COMES NEXT FOR AWS?
FEEDBACK?
Derek Knudsen (@dsknudsen, CTO at @Alteryx) talks about the differences between analytics and data science teams, critical analytics workflows, aligning culture and technologies, and best practices in presenting data.
SHOW: 486
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a little bit about your background, and what makes you passionate about helping analytics teams improve their businesses?
Topic 2 - Can we start by talking about how you think about Analytics teams vs. Data Science teams vs. AI/ML teams? Are these different only in name, or are their functional/skill differences, or places where one group is more appropriate than others?
Topic 3 - Let’s talk about Analytics in the context of workflows. Are you seeing it still be mostly a business analyst “offline” function, or are more workflows and applications introducing more “real-time” analytics capabilities?
Topic 4 - We talk a lot on this show about DevOps and Developer Productivity, in the context of more frequently changing applications. How does that apply to Analytics groups? Where do they have bottlenecks today? How do they get around those bottlenecks?
Topic 5 - How do platforms like the Alteryx Analytics Platform help teams improve their analytics velocity and productivity? And how much do you find that the right tools help improve how teams organize, or do they need to be well organized to best take advantage of the right tools?
Topic 6 - Can you give us some examples of the types of results that companies often achieve when they better align their analytics teams to self-service and automated environments?
FEEDBACK?
Andrew Clay Shafer (@litteidea, VP Transformation @RedHat ) & John Willis (@botchagalupe, Sr.Dir. Transformation) talk about the importance of "learning organizations", aligning change to business value, and the evolution of self-service and automated governance.
SHOW: 485
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. You’re both really well known in the DevOps communities, but give us the TL;DR of your backgrounds for anyone not familiar with your work.
Topic 2 - Whether people are tired of the term “Digital Transformation” or not, change is a huge part of our industry, especially as it relates to corporate culture and organization. What’s the framing for that type of discussion in 2021?
Topic 3 - I’ve heard you both say “technology is easy, people are hard”. How do you think about these conflicts of transformation, whether people’s individual motivations aren’t always aligned to a business goal?
Topic 4 - One of the biggest differences between existing companies and start-ups is the level of self-service that they build around their systems. The self-service systems allow experimentation, allow automated deployments, etc. But is there a way to bring a concept of automated governance to these end-to-end models?
Topic 5 - Oftentimes transformations are aligned with cloud-native technologies, cloud-native apps. The model of Ops in a cloud-native world is different. What are some of the areas you both focus on to make cloud-native Ops successful, or better aligned to the technology part of transformations?
Topic 6 - What are some of the best and worst “getting started” steps that you see various groups (or companies) take in their transformation journeys?
FEEDBACK?
Jeremy Burton (@jburton, CEO @Observe_Inc; board member @SnowflakeDB ) talks about the differences between traditional IT companies and Cloud-First companies, from product planning and roadmaps, to customer engagements and marketing messaging.
SHOW: 484
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome to the show. We’ve known each other for a while. You’ve had tremendous success in Leadership, Product and Marketing roles in the past. Tell our audience a little bit of your background and what ultimately brought you to your role at CEO of Observe.
Topic 1a - For people that aren’t familiar, what does Observe bring to the market?
Topic 2 - We wanted to do a little “before-and-after”, and focus on what it means to be a “Cloud-First” company. What are the most obvious differences between a company like Observe and a company like Dell or EMC?
Topic 3 - From a product perspective, how do you think about roadmaps and the ways in which you enable new features for customers? Since Observe runs only in the public cloud, how much do you need to think about integrating with the native cloud services?
Topic 4 - You have deep expertise in creating marketing messaging, but so much of how customers learn about your products is no longer the company website. How do you think about reaching potential customers, or generally getting your message into the market?
Topic 5 - Traditional IT was often aligned to centralized buying and architecture groups. How much does Cloud-First change the consumption models for companies - experimentation, on-demand usage, dealing with scaling issues, etc.
Topic 6 - Overall, what are some of the biggest lessons you’ve learned about the Cloud-First approach as you’ve transitioned over the last 3+ years.
FEEDBACK?
James Urquhart (@jamesurquhart, Global Field CTO @VMware, O’Reilly Author) talks about event-driven application architectures, how it's changing real-time business models, and technology stack driven the evolution.
SHOW: 483
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome back to the show. We’ve known you for quite a while, going back to working together on very early Cloud stuff. You’ve always enjoyed being focused on complex, distributed systems. Tell us what you’re focused on these days.
Topic 2 - Let’s talk about this concept of “event-driven” and flow. Where did it come from, what does it do, why is it valuable to application designers?
Topic 2a - What is a “flow” and how is it related to event-driven?
Topic 3 - Events are data. We’ve had relational databases for data, and then we had NoSQL or eventually-consistent databases for data. Are events a new type of data, or a new way to deal with data in a different context? (channels, replays, etc.)
Topic 4 - Can we talk through an example of an event-driven application, or an event-driven integration between multiple organizations? How is it new/different? What unique capabilities does it bring now? (Kafka, IoT, API Gateways, etc.)
Topic 5 - Cloud made IT self-service. Serverless made Ops become on-demand. If I’m a business leader, what does event-driven give us?
Topic 6 - Where are we in the maturity of event-driven architectures? What might be some of the next stages coming in 2021 or 2022?
FEEDBACK?
Brandon Whichard (@bwhichard, Offer Manager @DXC + Co-Host of @SoftwareDefTalk) talks about the evolution of Hybrid Cloud, common deployment misperceptions and challenges, and major areas for improvement in 2021.
SHOW: 482
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Welcome back to the show. Tell the audience a little bit about what you do in the day job, and then a little bit about Software Defined Talk.
Topic 2 - 10yrs ago, the software and hardware vendors created the concept of hybrid cloud, partially as a defense against public cloud, and partially as a reality check for existing usage. Now we have the public cloud rolling out both hybrid and multi-cloud offerings. How did we get here?
Topic 3 - As you talk to different companies, what’s the reality of Hybrid Cloud today? What is it, what do companies expect it to be, etc?
Topic 4 - What’s the biggest misperception about Hybrid Cloud that you’ve seen over the years and that you seen now (could be different things)?
Topic 5 - What parts of Hybrid Cloud do you expect to gain traction over the next couple of years?
Topic 6 - What areas do you see missing from a Hybrid Cloud architecture/approach today that need to be addressed?
FEEDBACK?
SHOW: Season 0, Show 1 - Introduction
OVERVIEW: From the creators of the Internet's #1 Cloud Computing podcast, Aaron Delp (@aarondelp) and Brian Gracely (@bgracely) introduce the new podcast, Cloudcast Basics. This podcast is designed to help anyone new to Cloud Computing get up to speed quickly. Each season will cover a specific topic, from the basics to more intermediate levels of depth.
Please subscribe anywhere you get podcasts (Apple Podcasts, Google Podcasts, Spotify, Stitcher, Amazon Music, Pandora, etc.). NOTE: Cloudcast Basics will be in a NEW podcast channel, separate from The Cloudcast channel that you currently subscribe to.
SHOW SUMMARY: This shows introduces the new podcast, Cloudcast Basics, and it also introduces Season 0 - "Introduction to Cloud Computing". Each month a new season will be released, focusing on a different technical or business aspect of cloud computing. It season is designed to allow the listener to progress from the most basic concepts to more intermediate levels of knowledge.
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
LEARNING CLOUD COMPUTING:
Here are some great places to begin your cloud journey, if you're interested in getting hands-on experience with the technology, or you'd like to build your skills towards a certification.
FEEDBACK?
Aaron and Brian discuss the biggest trends from 2020, and make bold cloud computing predictions in 2021
SHOW: 481
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
PODCAST BUSINESS:
FORMAT CHANGES in 2021
TRENDS and MAJOR STORIES from 2020:
2021 PREDICTIONS: Our 2020 Predictions from last year
Aaron’s Predictions
Carmen Crincoli (@carmencrincoli, Sr. ProgMgr @Microsoft) + Todd Christ (@toadster, Ent. Solutions Architect, @IntelBusiness) talk about the evolution of AzureStack, how HCI is being extended as a cloud service, and how COVID is creating new use-cases for on-premises and public cloud.
SHOW: 480
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. Todd has been a guest before, but Carmen is new. Tell us a little bit about both of your backgrounds.
Topic 2 - Let start by talking about AzureStack, in a broader context. The “brand” has been in the market for quite a while, but it really went through an evolution about a year ago - different services add, different buying options, etc. Help understand the broader AzureStack story.
Topic 3 - When most people think of HCI, they think about Compute, Storage, and VMs - simplifying the complexity of those systems. Now the world is moving more to the cloud, but on-premises still remains. Let’s talk about the concept of HCI becoming an extended cloud service and how that’s evolving.
Topic 4 - VMs, Containers, Backup/Recovery, Auto-Updates are now all built-in to AzureStackHCI. Which group (or groups) is managing AzureStackHCI in a typical company?
Topic 5 - How important is it to support disconnected (from the cloud) AzureStack HCI instances? Can there be scenarios that are partially-disconnected?
Topic 6 - Are you seeing any new or unexpected use-cases because of COVID-19, or now that HCI can be viewed as an extension of the public cloud?
FEEDBACK?
Brian provides some commentary on the state of AWS in 2020, and then reviews the highlights and announcements from AWS re:Invent 2020.
SHOW: 479
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
FEEDBACK?
Nigel Poulton (@nigelpoulton, Docker & Kubernetes training) talks about the current and future state of Kubernetes, who is using it and why, implementation and operational challenges, and how get started and what tools he recommends
SHOW: 478
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome back to the show. Tell us about some of your most recent projects, and all the places where people can find your training?
Topic 2 - Let’s talk about the State of Kubernetes, level of maturity of users/usage. Where do you think we are at the end of 2020?
Topic 3 - Who do you find are trying to learn and use Kubernetes, more Infra/Ops, or AppDev, or somewhere in between (DevOps, DevSecOps, SRE, etc.)?
Topic 3a - Where do you see people succeeding, and where are they still struggling to adjust to the requirements of Kubernetes?
Topic 4 - The ecosystem of projects around Kubernetes (immutable Linux, Operators, Service Mesh, Prometheus, OPA, Serverless/Knative, etc.) has gotten very broad. How do you find people are dealing with all these moving pieces?
Topic 5 - There are a lot of ways to engage with Kubernetes these days - DIY (OSS), vendor distributions, Kubernetes on your laptop, web IDEs, Hosted Services (simple & complex). What do you recommend to people, or do you see trends about how people best engage with Kubernetes?
Topic 6 - Do you think it’s OK that Kubernetes doesn’t have a “developer model”, but rather many different options? Do you think this evolves in 2021?
FEEDBACK?
Mike Del Balso (@mikedelbalso, CEO at @TectonAI) talks about lessons learned from Uber’s Michelangelo ML platform, enabling DevOps for ML data, and how Tecton enables features for data models.
SHOW: 477
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. It’s always exciting to talk to new companies. You were doing some pretty interesting things at Uber prior to starting Tecton, so tell us a little bit about that experience and then what motivated you to start Tecton?
Topic 2 - There are lots of Data/AI/ML tools and platforms out there. Tecton talks about “great models need great features”. Give us a high-level overview of the Tecton platform and the perspective you bring to solving complex business problems.
Topic 3 - After reading the papers on the Uber Michelangelo platform, it’s clear that today’s interactions aren’t a bunch of individual “decisions”, but layers of decisions made on ever-changing data (the UberEATS example). Why does business need a new approach to how they interact with data?
Topic 4 - When I think about earlier approaches for companies to “harness data for analytics”, there was always the problem of data silos. Do you find that companies need to organize themselves different, not just organize their data, to be able to overcome those silo challenges? Does it take a much more product-centric approach vs. the traditional “analyst” approach?
Topic 5 - Every new company and platform needs to find product-market fit. What do you see as early “fits” for the Tecton platform?
Topic 6 - How much data-science expertise does a company need today to be able to leverage Tecton, and how much does the platform lower the barrier to entry?
FEEDBACK?
Dan Wendlandt (@danwendlandt, CEO/Co-Founder @Isovalent talks about the evolution of cloud networking, eBPF and Cilium for programmable infrastructure, and blurring the lines between networking, security and service-mesh.
SHOW: 476
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. We’ve been following your work for a while (Nicira, OpenShift networking, etc), but tell our audience a little bit about your background.
Topic 2 - A few years ago I wrote an article that said, “if you’re in networking, the #1 skill you should learn is Linux”. Why has there been so much shift from “traditional networking” to so many new capabilities being implemented in software, and specifically Linux?
Topic 3 - Help us understand these two new concepts - eBPF and Cilium. It’s new packet filtering, it’s container networking, it’s multi-cluster networking, it can help with observability - lots going on here.
Topic 4 - What are some of the gaps in today’s networking/filtering/observability stacks that can improve with eBPF/Cilium?
Topic 5 - We’ve seen quite a few companies evolve from expertise in an open-source project to commercial offerings. What lessons have you learned from other companies that shape how Isovalent will both go-to-market and also engage with ecosystem partners?
Topic 6 - What are some of the common use-cases or applications you see that highlight the value of the Isovalent stack?
FEEDBACK?
Eamonn O'Neill (@eamser, Founder/EVP @LemongrassCloud) talks about the five paths of SAP cloud migrations, how SAP is evolving beyond ERP, and the responsibility models for SAP in the cloud.
SHOW: 475
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. The world of SAP has evolved quite a bit over the last decade. Tell us about your background and what led you to focus on bringing SAP to the cloud.
Topic 2 - A decade ago, SAP was very focused on this new HANA database and most people still thought of them as an ERP company. Since then, they have bought a lot of companies, especially in the SaaS space (SuccessFactors, Concur, Hipmonk, Qualtrics, etc.). Can you give us a high-level overview of what relationship SAP has with their customers these days?
Topic 3 - Lemongrass is focused on helping customers move SAP to the AWS Cloud. What types of applications are being moved, and why are customers moving them?
Topic 4 - Lemongrass talks about 5 Waves of Innovations to get SAP into AWS (Migrate, FinOps/SysOps/DevOps, 4/HANA, Big Data, AI). Where are most customers on that journey today? Does it tend to be consistent across industries?
Topic 5 - AWS often talks about a “shared responsibility model” for application-availability or security. How does that model apply to SAP applications, and what role does Lemongrass play for customers on an on-going basis?
Topic 6 - Have you seen the pandemic change how companies are looking at their SAP environments and whether or not it makes them do more in the cloud?
FEEDBACK?
Evan Weaver (Co-Founder/CTO @Fauna) talks about FaunaDB, and enabling serverless, NoOps databases as new applications architectures emerge around APIs, Jamstack and other distributed systems.
SHOW: 474
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve been at the forefront of really interesting tech in the past. Can you tell us a little bit about your background?
Topic 2 - Over the last few months, we’ve been digging into newer distributed architecture elements (Jamstack, GraphQL, Serverless, etc.). But we haven’t dug into the role of data in these architectures. Help us understand this 4th generation architecture, or client-serverless, and the role of data.
Topic 3 - Data is still stored somewhere, but its usage is now made up of a bunch of data coming together in various contexts. How does Fauna fit into this new world when clients and APIs play as much of a role as “the database”?
Topic 4 - As you talk to people that come from a SQL / Relational-DB background, how does the discussion go in terms of how things change and some of the common bottlenecks/problems that Fauna can solve for them?
Topic 5 - Databases have traditionally been difficult to scale, protect, maintain, etc. How does you enable the data layer or API access to now follow a NoOps model?
Topic 6 - Where are the best places for people to engage to learn more about how to not only use the Jamstack architecture, but apply the principles around Fauna for Data/API management?
FEEDBACK?
Hugo Kaczmarek (Product Manager) and Markus Hirt (Director Engineering) @Datadoghq talk about continuous application profiling in production, having better visibility in application environments, and managing performance budgets.
SHOW: 473
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show and welcome back to the show. Before we dig into today’s topic, can you give us a little bit of your background and how you became focused in this area?
Topic 2 - Production used to be a pretty sacred and untouched environment. Now we’re seeing the need to create chaos in production, test in production, and know more about how things actually work in production. Let’s talk about this concept of “profiling”.
Topic 3 - People often talk about having to “instrument their code” to be able to get feedback. How does that differ from profiling, and what unique things does an application need to be profiled in production?
Topic 4 - On the surface, this seems like it would add quite a bit of overhead to the applications. How do you manage to find the right balance of performance and visibility?
Topic 5 - Help us understand how profiling fits into the bigger picture of all the tools needs - Logging, APM, Observability, etc?
Topic 6 - Is there a profile of who needs profiling? Is this every application team, or just for specific applications (e.g. event-streaming, etc.)?
FEEDBACK?
Vikas Bhatia (@vikascb, Head of Product, Azure Confidential Computing) and Ron Perez (@ronprz, Intel Fellow, Security Architecture) talk about the technologies and architecture behind Azure Confidential Computing
SHOW: 472
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. Before we dig into today’s discussion, can you give us a little bit about your background?
Topic 2 - Defense in Depth is a strategy that has long been in place in Enterprise computing. We’ve seen previous approaches that connected the OS or Application with the Hardware (e.g. Intel TXT). How has this space evolved over the last few years, and what are some of the reasons why we need another level of depth?
Topic 3 - Let’s talk about the technology basics of Confidential Computing. What are the software elements (Application, OS, SDK) and what are the hardware elements?
Topic 4 - What is the normal migration path for a company to move workloads into Confidential Computing environments? Is this primarily for new workloads, or does it apply to existing applications too?
Topic 5 - Azure has the ability to deliver either Confidential VMs, or recently added Confidential containers along with AKS. When does it make sense to be confidential in one part of the stack vs. other?
Topic 6 - What are some areas where you’re seeing the broader ecosystem (e.g. technology partners or end-user customers) beginning to expand out the functionality of Confidential Computing?
FEEDBACK?
Matt Biilmann (@biilmann, CEO/Co-Founder @Netlify) talks about the evolution of websites, the architecture of the Jamstack, the evolution of mobile + CDNs, and interacting with 3rd-party APIs.
SHOW: 471
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve been trying to make websites easier for quite a while. Tell us a little bit about your background and what motivates you about Netlify.
Topic 2 - Let’s start by talking about how the web is consumed these days; what’s broken, and how are you trying to make it better?
Topic 3 - What is Jamstack? How much is language, how much is frameworks, how much is architecture, and how much is a different way to think about Websites/Content/CMS?
Topic 4 - So we have this website content distributed out to the CDN, how to 3rd-party APIs interact with the system (e.g. Stripe, Agolia, Twilio, AWS Lambda, etc.)?
Topic 5 - CDN’s just used to serve content, and now they are running code at the edge. How do those interactions work?
Topic 6 - You recently wrote that we might be hitting an inflection point for Websites/CMS’. Is that just a natural evolution of the distributed internet, or has anything in 2020 accelerated that?
FEEDBACK?
Susanne Tedrick (@SusanneTedrick, Author “Women of Color in Tech”, @IBM Technical Specialist) talks about the importance of STEM for young girls. the need for mentors and sponsors, and how to better create opportunities for women of color in tech.
SHOW: 470
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. Before we get into our discussion today, tell us about your background and some of the areas that you’re passionate about.
Topic 2 - For a lot of people, we’re trying to do more listening and learning these days. Let’s talk about women of color in tech.
Topic 3 - As you now have this platform, what are some of the most common and most surprising conversations you’re having these days?
Topic 4 - The book provides a number of examples of women in a variety of technical positions (leaders, engineers, pioneers, etc.). Tell us how important it is to see somebody that looks like you in positions you aspire to be in some day.
Topic 5 - You do an excellent job of talking about women’s journey from early life to careers in tech. Every journey has hills and valleys and roadblocks. What are some of the roadblocks that other people could help women overcome and be more successful?
Topic 6 - What are your favorite resources for people at different stages of their journeys - events, communities, mentors/sponsors, etc.?
FEEDBACK?
Chris Short (@chrisshort, Technical Marketing @RedHat, @CNCF Ambassador) talks about how to deliver compelling technical learning via streaming services, how to engage audiences and communities, and how to improve virtual events.
SHOW: 469
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. It’s good to have you back on the show (Oct.2016). You’re very well-known in the CNCF community, but give folks some details on your background and what you’re working on these days.
Topic 2 - We’re all adapting to a COVID-19 world. You’ve been creating a ton of learning content for OpenShift.tv. Let’s talk about the basics of what streaming content looks like (where to watch, demos vs. discussions, etc.)
Topic 3 - What have you learned about this new way people are learning and engaging?
Topic 4 - What are some of the technical tips and tricks to keep viewers engaged? Is streaming mostly a 1-way medium, or is there 2-way / multi-way communications happening?
Topic 5 - What do people need to get started, if they want to use streaming for a project, or teach their teams (or their customers)?
Topic 6 - With so many events going virtual, what are some emerging things about streaming that could help make virtual events (or any events) better in 2021?
FEEDBACK?
Ariel Assaraf (@ArielAssaraf, CEO at @Coralogix) talks about the evolution of SIEM technologies, today's common use-cases, how SaaS migrations impact SIEM, and how AI/ML is improving functionality.
SHOW: 468
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Ariel, welcome to the show, tell us a little bit about yourself and how you got involved in the SIEM space?
Topic 2 - Let's start with some basics. SIEM (pronounced SIM with a silent E) or Security Information and Event Management isn’t new but it is the combination of a few different security trends. Explain to everyone your thoughts on the evolution of this industry and how we got here.
Topic 3 - How does it work and why is it important and what benefits? What are the primary use cases you see at Coralogix today?
Topic 4 - I have to ask the flip side, where are the rough edges and limitations typically?
Topic 5 - How does the trend towards migration of “as a service” offerings affect SIEM? What’s left to monitor?
Topic 6 - This sounds like an area where AI/ML could play a role as well, what advancements and trends do you see here?
Topic 7 - For listeners new to the topic, how can they get started and learn more?
FEEDBACK?
Brian Johnson (SVP Cloud Security Practice @rapid7) talks about the evolution of the Managed Security Provider market, manage security without borders, and the complexities of multiple identity and trust models.
SHOW: 467
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You were the CEO/co-founder of DivvyCloud, which was recently purchased by Rapid7. Give us an overview of the Managed Security Provider market and some of the ways it’s evolved since the pandemic started.
Topic 2 - In today’s world, there no longer is a security perimeter for companies in the way they’ve known for years. What is replacing how companies define perimeters - is identity the new perimeter?
Topic 3 - Can you talk about what kind of Identity management companies need today, and maybe talk through some of the nuances across the disciplines like Identity and Access Management (IAM), Privileged Access Management (PAM), and Identity Governance and Administration (IGA).
Topic 4 - Where does MFA (multi-factor authentication) sit within a strong IAM strategy? For example enforcing policies across cloud user accounts?
Topic 5 - We’ve seen some data suggesting over 80%+ of organizations are using a multi-cloud strategy, can you talk about some of the challenges around trying to manage IAM acros clouds? For example (Different policies, tools and terminologies across clouds)
Topic 6 - The security world is beginning to talk about “unified zero trust security models”. Can you talk about what that means and maybe give us a background about DIvvycloud/Rapid7 and how they are working to solve a lot of these topics around IAM.
FEEDBACK?
Andres Rodriguez (Sr. Principal Engineer @Intel) talks about how Tensorflow v2 has evolved, use-cases and applications, frequent usage patterns, and the best ways to begin using Tensorflow.
SHOW: 466
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve had a really interesting mix of industry, government and academic work around Deep Learning. Tell us a little bit about the areas you focus on.
Topic 2 - Tensorflow is one of the most popular OSS projects on Github. Help us understand the types of data problems where Tensorflow is the best tool/framework (e.g. neural networks). What are some of the most popular capabilities?
Topic 3 - Tensorflow is focused on looking at how data flows through graphs. Are there common types of ML problems that are more appropriate for using Tensorflow than other ML models?
Topic 4 - Tensorflow is able to run on a broad set of hardware, but obviously there is a point where specialized hardware is needed for certain performance or scaling. What are some of the things that Intel is doing to help improve the experience with Tensorflow?
Topic 5 - Tensorflow works primarily with the Python programming language. Beyond having some background with Python, what are some of the skills that are needed to get started and be successful with Tensorflow?
Topic 6 - Having worked with Tensorflow for a while now, what are some of the learning paths that you’ve found successful (problems areas, communities of interest, tools, new skills, etc.)?
FEEDBACK?
Jeremy Winter (Partner Director of Azure Management at Microsoft) talks about what trends are driving migrations, how companies plan for success, useful tools & frameworks, and leading successful transitions.
SHOW: 465
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve had the opportunity to work on a number of things at Microsoft. Tell us about your current role, as well as how it’s been to see the transition at Microsoft from software company to cloud company?
Topic 2 - Lets start with the concept of migration. Is there a framework that companies use to think about what to migrate to the public cloud?
Topic 3 - Transitions and Testing feel like they are critical for any migration to be successful. How do companies manage to get through an application being in one location vs. being in the cloud?
Topic 4 - As companies think about the economics &/or ROI of migration, how do they think about all the elements involved (e.g. cost to change an application, cost savings of not owning a data center, cost to re-skill existing staff or hire new, etc..)?
Topic 5 - COVID-19 has changed everything these past 6 months. Have you seen the profile of a migration change significantly since the pandemic started, or have well-known migration profiles already in place? (e.g. different applications to migration, different pace of migration, etc.)
Topic 6 - Do you find that migrations are being driven top-down at companies, or are they decentralized by groups? How are they being organized these days?
FEEDBACK?
Todd Christ (Sr. Solutions Architect @Intel) talks about Google Anthos, core elements, design considerations, mulitcloud, application modernization, and the latest services available.
SHOW: 464
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve had a broad set of experiences in your career, how did you come into being focused on Cloud and Multi Cloud technologies and solutions?
Topic 2 - Today we’re talking about the Anthos offering from Google Cloud. A few years ago, the cloud providers were all-in on just public cloud. What have you seen shift in the market that has now created their hybrid or multi-cloud offerings that have broader reach?
Topic 3 - Lets talk about Google Anthos. What are the core elements, what types of services does it deliver, and what is the overall customer experience?
Topic 4 - What are some of the newer Anthos capabilities that have been announced and how do they help with hybrid or multi-cloud? (Anthos Migrate, Anthos on AWS/Azure, is there an Anthos “appliance” available for on-premises)?
Topic 5 - Running applications in cloud vs. on-premises is always going to be somewhat different. What are some of the things that Intel does with Google to help improve the overall experience?
Topic 6 - What are some of the use-cases that you’ve found are early successes for Anthos, or some of the early lessons that companies are finding when using Anthos?
FEEDBACK?
Mike Kalinowski (@mxkalinowski, Senior Manager of Product at @Infor) talks about the basics of RPA, the challenges of automating diverse heritage systems, the emerging role of AI/ML in RPA, and the evolution of business analysts.
SHOW: 463
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a little bit about your background and what attracted you to the interaction of business processes and technology automation.
Topic 2 - For anyone that isn’t familiar with the concept of RPA (Robotic Process Automation), can you give us a brief overview of the business problem it attempts to solve and the basic technology behind it?
Topic 3 - We often hear about systems with APIs and how they can be automated and interacted with. But many back-end systems could be older, so how does RPA interact with these types of systems?
Topic 4 - Oftentimes these automated workflows can involve inputs and outputs from various systems (applications). Who tends to be the owner of an RPA system, or does it blur the lines between groups?
Topic 5 - As I look at what Infor OS provides around Intelligent Process Automation, very graphical, it seems like it overlaps with this “Low Code / No Code” trend/buzzword. Is there any reality to that, or are they very different things?
Topic 6 - When I look at case-studies for RPA, the ROIs are usually incredible. How do companies often get started, and are there any gotchas you’d suggest people avoid?
FEEDBACK?
Tanmai Gopal (@tanmaigo, CEO Hasura) and Rajoshi Ghosh (@rajoshighosh, COO Hasura) talk about the evolution of GraphQL as an efficient way to engage with APIs and data models, and how Hasura Cloud helps simplify GraphQL for developers.
SHOW: 462
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You both have an entrepreneurial background. Tell us a little bit about yourself and then what drove you to start Hasura?
Topic 2 - GraphQL is a technology that’s been around for a little while, but it might be new to our audience. Can you give us the basics of what it does, and what sort of problems it solves for application teams?
Topic 3 - Many people are familiar with REST or RESTful APIs. Can you help us understand some of the reasons why we’re seeing a shift towards GraphQL for API interaction, or away from REST APIs?
Topic 4 - What are some of the business trends that are driving the need for more data-modeled API queries?
Topic 5 - Hasura Cloud is focused on helping companies query data across any cloud or any source. What are some of the unique things that Hasura does to help customers manage these hybrid/multi-cloud environments?
Topic 6 - What are some of the easiest ways for companies to get started with GraphQL and positively impact their applications?
FEEDBACK?
Christos Matskas (@ChristosMatskas, PPM Identity & Security) and John Patrick Dandison (@AzureAndChill, Principal PM Identity) at Microsoft talk about Identity in today's cloud, managing borderless environments, and how to best enforce identity.
SHOW: 461
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve both been at Microsoft for a little while, but give us a little bit of your background and the things you focus on today.
Topic 2 - Let’s start with some basics - in the world of Cloud, what is Identity?
Topic 3 - Things get more complicated as we incorporate more things associated with people or accounts (e.g. multiple devices, VPNs) or distributed applications or 3rd-parties (e.g. contractors, etc..) How does that shift the Identity conversation?
Topic 4 - How does a business attempt to not only keep track of all of this, but enforce it in various ways? (connected, disconnected, people leave, applications change, etc.)
Topic 5 - What are some of the ways that Microsoft addresses all these complex Identity challenges?
Topic 6 - Looking forward, what are some areas that are going to be the new frontier for Identity challenges, or some technologies that will make things easier?
FEEDBACK?
Dan “Pop” Papandrea (@danpopnyc, Field CTO @Sysdig Host @PopcastPop) talks about securing DevOps, how to secure containers and runtimes, and the cultural challenges of security in an agile world.
SHOW: 460
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. I first got to know you through your podcast The POPcast, but you’re been around this evolution of the cloud for quite a while. Tell us a bit about your background.
Topic 2 - There’s a concept that’s now been around a couple years called “DevSecOps”. Originally it was “Sec” being jammed in there because it had been excluded from the early days of DevOps (at least in practice). Where are we with DevSecOps today?
Topic 3 - Let’s talk about DevSecOps in the context of containers. We now have things like Container Scanning, Container Signing, and Immutable Infrastructure and yet security still concerns people. Isn’t the “software supply chain” supposed to weed out the vulnerabilities before they get into the production systems?
Topic 4 - One of the challenges that companies have in adopting containers is that they were used to having root access to hosts, and containers live in the user space. How can security tools fit into a container world?
Topic 5 - As you talk to lots of companies, how are they dealing with the cultural challenges that go along with implementing DevSecOps?
Topic 6 - Any tips or suggestions you can share to help people avoid common DevSecOps mistakes, or accelerate best practices and wider adoption?
FEEDBACK?
Zhamak Dehghani (@zhamakd, Portfolio Tech Director @ThoughtWorks) talks about the concepts behind Data Mesh, the challenges and problems of Data Lakes / Data Warehouses, and how Cloud-native principles can be applied to Data.
SHOW: 459
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. We were introduced to you through the O’Reilly events, but you’ve been involved in software development and architecture for quite a while. Tell us a little bit about your background and your focus areas at ThoughtWorks.
Topic 2 - About a year ago, you introduced this new concept called “Data Mesh”. Before we get into that, give us a little bit of background on the problems that previous generations of Data Warehouses or Data Lakes created.
Topic 3 - Lets begin to walk through how Data Mesh is different from Data Lake. We’re not talking about just dumping all the various data sources into one “pool”, there’s a concept of “domains” within this big pool of data. What are the new concepts of source and consumption?
Topic 4 - Explain the concept of how pipelines are tied into Data Mesh and how this allows the creation of new products/features from the Data Mesh.
Topic 5 - You talk about the data being truthful, and then you bring an SRE concept of SLO into the truthfulness of the data. Explain how that might work?
Topic 6 - Once a Data Mesh is in place, what are the “roles” (or teams) that have specific tasks, and who are the typical consumers of the Data Mesh platform?
FEEDBACK?
Vaibhav Nivargi (CTO & Founder @Moveworks) talks about Natural Language Understanding (NLU), interacting with users using chatbots, and augmenting customer service with AI.
SHOW: 458
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Vaibhav, welcome to the show. Tell everyone a little about yourself and what got you started in the AI space?
Topic 2 - We’ve done a number of AI/ML shows over the years, but we haven’t talked much about Natural Language Understanding or NLU. Let’s start there, can you give everyone an introduction?
Topic 3 - Based on that, is the primary interaction with the end user through a chatbot or something similar? What are the primary use cases and tools you are seeing in the industry? Is this a Slack and/or Microsoft Teams integration? Unsolicited plug, I’m a customer in my day job…
Topic 4 - We’ve been talking a lot on the show recently about the migration to SaaS based products. What is the model here? Is the AI central (cloud hosted) or private and in-house? Do you have the concept of a template AI and then each customer AI is an instance or is this a central AI that is called? How does it get customized and updated over time? What training is typically required and is this training on-going?
Topic 5 - How do you prevent user frustration from “loops” or unanswered questions? I think of the voice automated telephone systems I’m not a fan of as an example. How would you handle language that isn’t built into the AI?
FEEDBACK?
Aaron and Brian review the first half of 2020, which feels like it’s lasted 6 years.
SHOW: 457
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Back on March 18th, Aaron and Ken Hui did a show about “Working from Home Tips and Tricks”. Can you even remember your mindset back in March?
Topic 1a - Is 2020 the Year of Virtual Desktops? Have you seen any last shifts happening about people being remote? [are companies going to allow people to work remote?]
Topic 2 - We’re starting to see the major clouds start to carve out some unique personalities:
Topic 3 - Should anybody be running their own software anymore?
Topic 4 - 2001 Internet Crash drove a ton of new innovation. 2008 Financial Crash led to the public cloud, but also lots of “cost savings” innovation. What does 2020 potentially bring?
Topic 5 - We have to talk about conferences and tradeshows. Do they return in 2021? What have we learned from the virtual ones in 2020?
Topic 6 - Any insights / predictions about the rest of 2020?
FEEDBACK?
Tim Zonca (@timzonca, CEO at @stackeryio) talks about the next evolution of the serverless developer experience, the maturity of customer adoption, how much customer appreciate not having to manage infrastructure, and how to manage the journey to serverless.
SHOW: 456
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve had a pretty diverse career in terms of elements of making developers successful. Tell about your background and how you became CEO at Stackery almost a year ago.
Topic 2 - It’s hard to believe that AWS Lambda launched about 5.5 years ago. Obviously the serverless ecosystem has grown and expanded quite a bit since then. Where do you see serverless in terms of both maturity of the technologies, and maturity of customer adoption?
Topic 3 - Lets talk about what the Stackery platform brings to the serverless ecosystem.
Topic 4 - As you talk to prospective customers, how much different is it to discuss not have to be burdened by underlying resources vs. previous conversations you’ve had about applications? How long does it usually take them to grasp the magnitude of the changes in development?
Topic 5 - How much of a “traditional” developer experience still exists with serverless (write code, write tests, pipelines, etc.) and what are some immediate things they will see that’s different?
Topic 6 - Having been at Puppet you obviously saw many DevOps transformations. What are some of the steps on a typical Serverless transformation for companies?
FEEDBACK?
Marc Tremsal (@mtremsal, Director Product Management @datadoghq) talks about the intersection of observability and security, if SRE needs a DevSecOps transition, using security data for modeling, and tips to make immediate impacts on overall security.
SHOW: 454
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve played a role in helping to design systems that secure some of the most critical environments in the world. Tell us a little bit about your background.
Topic 2 - We’ve talked about monitoring, observability and in various ways “security”, but how do you see all those things beginning to come together more these days?
Topic 3 - As we get into more distributed environments, especially for security (authentication, encryption, key-management, proxies, etc.), how should people think about a framework to have visibility and be able to take action across these distributed systems?
Topic 4 - Is this visibility of security-related activities (or potentially security-associated) mostly useful for real-time security threats (e.g. “we’re being attacked”), or can it also be used for more long-term types of activities (planning, threat modeling, chaos engineering, etc.)?
Topic 5 - Can you share with us any customer-centric stories of how this is helping companies deliver better services, or more uptime for their services?
Topic 6 - What are some tips you can share with the audience today that would help them make immediate impacts to how them monitor for security?
FEEDBACK?
Venkat Rangan (Co-Founder & CTO @ Clari) talks about AI and application into more mainstream areas and revenue generation.
SHOW: 453
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Venkat, you have a very interesting background as a technologist in our industry. Give everyone a brief introduction and if you don’t mind also tell everyone a bit about being a member of the Forbes Technology Council. I believe you are our first guest from there.
Topic 2 - Today we’re going to dig back into AI as a topic. Let’s start at the start. In your current role you have been involved in technology over the years and Clari has been around for awhile. What compelled you to focus on this space?
Topic 3 - AI has suffered from a perception issue. It often is seen as unapproachable with a pretty high barrier to entry. We’ve spoken to companies in the past about specific industry or vertical applications (manufacturing for instance). Many architects and our listeners are practitioners vs. data scientists. How do we solve this problem and “bring AI to mainstream”
Topic 4 - In order for that to happen, what does our industry need? Is it SaaS based, services from public clouds, etc?
Topic 5 - Having been in field sales for years, it’s always been somewhere between complete and utter guesswork all the way to precision, rocket science level analysis. - What are your thoughts here and how can AI improve this situation?
Topic 6 - What’s next for industry? What are the use cases both today and in the future?
FEEDBACK?
Tal Weiss (@weisstal, Co-Founder/CTO of @OverOpsHQ) talks about the challenges of frequently deploying applications, understanding cloud-native patterns, and helping developers debug problems in production.
SHOW: 452
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve been a software developer, an entrepreneur and worked on some pretty challenging technical areas - tell us a little bit about your background. What motivated you to start OverOps?
Topic 2 - We are quickly moving to a world where software is no longer a “big bang” planning activity, but lots of continuous activities, loosely coordinated. What sort of challenges does that create for production applications?
Topic 3 - OverOps talks about this concept of Continuous Reliability. What does this mean in a world where cloud-native patterns are teaching people that they should build systems that are designed around unreliable infrastructure?
Topic 4 - How does OverOps begin to make it easier for developers to debug production problems, especially when there are many tools collecting lots and other information about systems?
Topic 5 - Where do you see the most progress for companies that have these highly variable, fast-moving application environments improving the most? Is it the evolution of SRE teams, or visibility tools, or something else?
Topics 6 - Any tips you can pass along to our audience for reaching continuous reliability?
FEEDBACK?
Andrew Wertkin (Chief Strategy Officer @ BlueCat) talks about Enterprise DNS, DDI (DNS, DHCP, IPAM), and the differences between Adaptive network security and public cloud security.
SHOW: 451
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Andrew, tell everyone a little about yourself.
Topic 2 - Our topic today is all about network security and foundations. Over the years, our networks have become complex and we have multiple infrastructure systems to maintain such as on-prem DHCP, VPC connections to public cloud, public facing, etc. Tell everyone a little bit about the challenge and your findings with customers in the industry.
Topic 3 - I’ve heard Enterprise DNS and DDI (DNS, DHCP, IPAM), what’s the difference? Doesn’t everyone just use a spreadsheet still? :) What’s changed?
Topic 4 - How has an era of new devices (VOIP, IoT, Edge, etc.) affected management and security approaches?
Topic 5 - What are the tradeoffs and design considerations when it comes to all of the above (multiple clouds, multiple types of devices, multiple vendors with management tools). Are we talking about an overlay, a replacement tool? How does this unification happen? Aren’t there differences for instance in DNS implementations between vendors?
Topic 6 - What’s next for industry? What are the use cases both today and in the future?
FEEDBACK?
Pedro Arellano (@DSSPedro, Head of Product Marketing, Looker) talks about the evolution of Business Intelligence (BI), how BI is used by more than data scientists, the importance of visualization, and creating new ways to correlate data sources.
SHOW: 450
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. You’ve been around the data industry for a while, and were part of the Looker team that was acquired by Google Cloud in 2019. Tell us a little bit about your background, and what excites you about the Business Intelligence space.
Topic 2 - We live in a world where we are presented with large amounts of data on a daily basis, but most of us aren’t data scientists. How does Looker’s approach to Business Intelligence appeal to the masses?
Topic 3 - Usually BI requires a significant investment in ETL technologies to be able to bring together many different data sources. How does Looker overcome that, or apply “data models” across a variety of data sources.
Topic 4 - Looker has always emphasized the visualization elements of data. Some data scientists live in spreadsheets or Jupyter notebooks. How important do you find it is to be able to visualize complex data, especially as it needs to be used to communicate across groups within a company?
Topic 5 - Given that Looker allows many different types of data sources to be part of the analysis, do you do anything in working with customers to help them think about “new” data sources that could provide new correlations or viewpoints to their business?
Topics 6 - What are some of the examples of new ways that you’re seeing companies use Cloud BI, either to enable new teams to have business insights, or collaborate better across teams?
FEEDBACK?
Sarah Wells (@sarahjwells, Technical Director for Operations & Reliability at @FT) talks about how she's evolved her career with the changes at FT, how they chose to use microservices, how their internal culture has evolved and how they think about funding and maintaining service ownership.
SHOW: 449
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com
SHOW NOTES:
Topic 1 - Welcome to the show. We often speak with experts working on the technology-vendor side of the industry, but you’re building in a much different way. Tell us about your background, and introduce us to the work you’re doing today at the Financial Times.
Topic 2 - For the last 4 years, you’ve been talking a lot (publicly) about building and using microservices. Give us some background on your journey, and some of the reasons why your teams have chosen this architecture. (experimentation, A/B testing)
Topic 3 - You work in a world that reports on the financial success (or failures) of other companies, but how do you measure your own success? How do you put them in perspective/
Topic 4 - Lets talk about service ownership. Who owns a service, how long do they own a service, do they ever go away?
Topic 5 - Any tips or tricks that you’d be willing to share with our audience about driving successful culture within your team or across other teams?
FEEDBACK?
Aaron talks to Jim Brennan (CPO @ BetterCloud) about SaaSOps and the challenges of managing SaaS applications in a world when IT is becoming decentralized.
SHOW: 448
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Jim, welcome to the show. tell everyone a little about yourself and what has you so passionate about making SaaS better?
Topic 2 - Over the years on the podcast we have watched the growth of the SaaS market. It seems a market isn’t truly it’s own until you attach Ops to it… We’ve seen DevOps, SecOps, NoOps, and many others. So, today we are going to talk about SaaSOps. What is SaaSOps?
Topic 3 - At the core of SaaSOps is the ability to discover all the SaaS capabilities that are being used across a company. There is no longer a central place in IT to discover things, and no longer a fixed perimeter for input and output. So how do you discover things in SaaSOps?
Topic 3a - On the flip side of that, how do you manage data discovery, because if things didn’t go through a known exit point, how do you connect what data left the company (or might be insecurely stored somewhere?)
Topic 4 - Every industry has growing pains. What are some in the SaaS industry? Security seems to always be a pain for everyone...
Topic 5 - How is this space different from straight up identity management and the classical dashboard of SaaS and other apps that may be provided to me as an employee of a company?
Topic 6 - Your background is non-Silicon Valley and the company locations reflect that. How has it been building a company outside the bubble?
FEEDBACK?
Tomer Levy (@TomerLevy, Co-Founder/CEO of @Logzio) talks about how open source communities have evolved to enable Observability, how teams embed Security into their DevOps processes, and tips for managing better collaborations and communications in distributed teams.
SHOW: 447
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Let's talk about your background as both a technologist and entrepreneur, and what excites you about the open-source ecosystem (what motivated you to found Logz.io)?
Topic 2 - Observability is a hot topic these days, how are we seeing the open source community and open source tools evolve in this space?
Topic 3 - We've seen an explosion of application traffic and data over the last few years. What are some of the things that tools like the ELK stack and Grafana have done to help with this scale, as well as making life easier for DevOps teams?
Topic 4 - You have a background in security. Is it possible to have a DevOps team these days without it being DevSecOps? What are some of the things you’ve seen that are making security more manageable in these fast-changing environments?
Topic 5 - None of us know when these work-from-home conditions are going to change, or how long the impact might be on a “new normal’. Any tips or suggestions for newly remote teams to be successful around operations? How important is it for engineers to better manage complexity and costs during this time?
Topics 6 - What are some of the ways that Logz is using your experience in data collection and data visualization to give back to help during these trying times?
Topics 7 - Can you tell us about your upcoming online event -- OpenObservability -- and how the agenda and speakers will cover some of these items in more detail with their unique insights?
FEEDBACK?
Emil Stolarsky (@emilstolarsky) and Jaime Woo (@jaimewoo), co-founders of @IncidentLabsInc talk about experiences running web applications at scale, evolving into SRE roles, communicating SRE concepts across teams, and tips for initial success.
SHOW: 446
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a little bit about your backgrounds, and some of your experiences that lead you to focus on SRE.
Topic 2 - SRE is still an evolving concept, and people are still learning about it. How do you frame a conversation with people about how SRE works? How much is technology-centric and how much is culture/process-centric?
Topic 3 - We’re all living in an unusual time, given the current COVID-19 pandemic. How do you see SRE changing as work environments change (e.g. WFH) or volume or change-rate is dramatically impacted?
Topic 4 - What have you found are successful communication and collaboration models for SREs engineers with their associated teams (or other stakeholders)?
Topic 5 - How well do you find different groups understand the concepts around error budgets and SLOs?
Topic 6 - If people are just now getting started with SRE, what are some early tips (or tools) that you recommend for them to have initial success (or avoid failures)?
FEEDBACK?
Ian Crosby (@IanDCrosby, Managing Director @ContainerSoluti) talks about how Cloud-native applications are as much about new technology patterns as they are about new organization patterns, collaboration patterns and risk-management patterns.
SHOW: 445
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a little bit about your background, as you’ve been around software development and this move to cloud-native for a little while now.
Topic 2 - Lets begin by talking about patterns. What are some common application patterns, and how do they begin to change when we’re talking about cloud-native patterns?
Topic 3 - What are some of the more commonly used cloud-native patterns? Are they more focused on the underlying technology (e.g. containers, Kubernetes, etc.) or more focused on the actual application (e.g. 12-factor, etc)?
Topic 4 - Have you found that some patterns are easier for groups (or companies) to adopt than others?
Topic 4a - “Why are patterns useful in Cloud Native?” or “How do you get started using patterns?” are two topics/questions which may be interesting.
Topic 5 - Have you found that some patterns are easier or more difficult to maintain over time?
Topic 6 - What are some common tips that you share with communities or your clients to help them find early success to build confidence?
FEEDBACK?
Nati Hazut (Co-Founder & CEO, Polyrize) talks about security in the cloud, ZeroTrust, SecOps, Non-Human Entities and why the old perimeter model no longer works.
SHOW: 444
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SHOW NOTES:
Topic 1 - You have an interesting background in both the Israel military and cyber-security. Can you give a quick introduction for everyone please?
Topic 2 - Brian and I both do not come from security backgrounds and I’m sure we have some listeners out there just learning. Let’s start at the start. SecOps, what is your definition and why is it important today?
Topic 3 - You recently published an article in Security Boulevard (link in show notes) on Non-Human Entities in the Cloud. I found it very fascinating. Can you tell everyone what that expression means and why it is so important in a cloud and SaaS world?
Topic 4 - What are the top challenges with security in the cloud today? I come from the days of the old secure perimeter model. What has changed and why? I would imagine automation and API driven systems have changed this perspective a lot.
Topic 5 - Tell us a bit about your company Polyrize. What problems are you trying to solve? What are the most common use cases? What are the challenges to securing multiple platforms (SaaS, IaaS, etc.)
FEEDBACK?
Chris Patterson (@chrisrpatterson, Product Manager for GitHub Actions @GitHub) talks about the evolution of GitHub from a collaboration-centric platform to a DevOps-centric platform, as well as discussing the expanding role of GitHub Actions for developers, DevOps and SREs.
SHOW: 443
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CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a little bit about your background, as you’ve been working on developer productivity for quite a while?
Topic 2 - We’ve been watching this trend of GitHub moving from a place where developers put code, to a place where they collaborate around code, and now it’s expanding out to a full lifecycle around both the code and running applications. Let’s talk about that evolution.
Topic 3 - Help us understand the basics of GitHub Actions and GitHub Packages.
Topic 4 - What sort of feedback was coming in from developers that pushed GitHub to get more involved in the complete DevOps lifecycle?
Topic 5 - Can you talk about the growth of Actions/Packages since they launched in early 2019? What are some of the interesting use-cases you’ve seen?
Topic 6 - If you’re able to give us a glimpse into the future, what are some of the other areas where GitHub can expand Actions, or you’re starting to see users push it’s capabilities?
FEEDBACK?
Aaron talks to Ken Hui (@kenhuiny - Solutions Architect, AWS) about advice on working from home. We've been working remotely for over 20 years and this may we offer some tips and tricks to stay productive. Stay safe everyone
SHOW: 442
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SHOW NOTES:
Topic 1 - No tech topic this week. We’re going to talk a bit today about working remotely. This may be new and unexpected to some of you. To talk about this I invited past guest and occasional co-host, Ken Hui. Between Ken and I, we have worked together at a few different places in the past and probably have 20+ years working from anywhere. Welcome back Ken! For those that live under a rock and don’t know you, tell everyone a little about yourself and what you’re up to these days.
Topic 2 - Let’s start with some basics. What are the first steps to both keep your sanity and be productive? (Making sure your calendar is public, your company has a standard for chat/video/etc, don’t they? You are available during business hours, etc.) Set up a dedicated work space, etc. Don’t use Slack to replace email….
Topic 3 - At our last company together, Ken pushed hard for certain work from home inclusion rules, what were they? Video camera on, video camera off? People will always assume the worst.
Topic 4 - Weekly report on work to a distributed team: this week, next week, GYR status, upcoming PTO, etc.
Topic 5 - Have a start and stop time (that is friendly to your HQ)
FEEDBACK?
Aaron Upright (@IAmAaronUpright, Co-founder of @ZenHubHQ) talks about the challenge of developer collaboration and project prioritization, integrating tools within GitHub, best practices for teams, and the importance of making tools that technical and non-technical team members can understand.
SHOW: 441
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SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a little bit about your background, and ultimately what led you to co-found ZenHub?
Topic 2 - Let’s start by talking about what ZenHub delivers. We’re very interested in the potential of GitHub and the things it’s doing directy, but we’re also interested in this ecosystem that’s enhancing GitHub.
Topic 3 - What are some best-practices around road mapping and prioritizing activities that could be shared?
Topic 4 - What are some best-practices around allowing greater transparency of roadmaps with multiple teams? (what are the pros and cons)?
Topic 5 - ZenHub is an example of a toolset that's built entirely around GitHub capabilities. Do you think we'll begin to see more companies just built around GitHub and move away from externally-connected toolsets?
Topic 6 - Are most of your interactions with software companies, or are you also interacting with businesses whose primary focus is something other than being a software company?
FEEDBACK?
Sunay Tripathi (@SunayTripathi, Founder and CTO, @MobiledgeX) talk about Edge Networking, why 5G will be a huge leap forward, evolving use cases beyond AR/VR, and creating a clean developer experience by abstracting away the mobile transport layer
SHOW: 440
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CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Welcome to the show. Tell everyone a little about yourself, you have been at the intersection of Network Virtualization, Cloud, and now Edge for quite some time.
Topic 2 - Let’s start at the start. What is your definition of Edge and what are some of the historical problems you see there? In this instance we are talking about network edge devices and not edge computing, correct?
Topic 3 - Tell us a little bit about device/identity security at the edge.
Topic 4 - When I think about device based AR/VR, I think about gaming as the primary use case that I’m exposed to as a consumer but we are talking about much more than that. What are some of the prominent use cases you are seeing and are trying to solve for?
Topic 5 - How does the increase in bandwidth at the transport layer, in particular worldwide 5G come in to play? Is this just a “bigger, faster pipe” or does it require a heavy implementation lift to adopt? How does world geography play into this? Some areas of the world are dominated with edge/handheld devices for almost all daily life now...
Topic 6 - We don’t talk about PaaS as much on the podcast lately but would it be safe to characterize MobiledgeX’s technology as a development PaaS for edge devices?
Topic 7 - Tells us about MobiledgeX’s upcoming initiative, Seamster. As I understand it this will bring vendors and developers together, correct?
FEEDBACK?
Chris Riley (@hoardinginfo, DevOps Advocate, @Splunk) talks about the state of DevOps, the evolution of Incident Response with Machine Learning, Service vs. Site Reliability, and using Incident Response to increase quality of development
SHOW: 439
SHOW SPONSOR LINKS:
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Welcome to the show. Tell everyone a little about yourself, you’ve been active in the DevOps space for quite some time.
Topic 2 - About a year ago we had your peer and good friend of the show, Josh Atwell, on to talk about the State of DevOps in 2019. What are your thoughts on changes over the last 12 months and where we headed in 2020?
Topic 3 - One item in particular that has drawn my attention is your discussions on Incident Response and Machine Learning. Can you tell everyone a little bit about that and why you believe it will be valuable going forward?
Topic 4 - This in a way feels almost like a transition into the next evolution of our model. First we had separate dev and ops and no one talked, then we put them together, then we had every device and app start spitting out logs and alerts and next thing you knew, we were drowning in data… The complexity of the systems has grown exponentially. Fair?
Topic 5 - You recently did a post over on the Victor Ops blog about SRE and the meaning of the “S” in that blog. You propose more and more it should stand for Service Reliability Engineer vs. the more traditional Site Reliability Engineer, especially as we move into a subscription based model world. Can you explain to everyone your thoughts there?
Topic 6 - When I think Incident Response, I think production environments. As part of VictorOps I’m sure you see a lot of use cases and have solved some pretty unique customer problems. How can this be applied outside of production, say for application testing or quality before hitting production? Is that a valid approach?
FEEDBACK?
Peter Mattis (@PeterMattis, Co-founder/CTO of @CockroachDB) talks about the evolution of scalable SQL databases, the challenges of globally scalable data management, how Kubernetes has evolved to manage stateful applications, and lessons learned running Kubernetes and CockroachDB.
SHOW: 438
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CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Welcome to the show. Before we dive into our discussion, tell us a little bit about your background in working on scalable technologies.
Topic 2 - Today we’re going to mash together a couple of popular (and complex) topics - the growing use-cases on Kubernetes, and the growing need to synchronize data for anywhere access. Let’s start with the data side of the equation - tell us about the basics of your creation, CockroachDB, and the challenges it solves.
Topic 3 - What are some of the use-cases that are driving more scalable SQL usage vs. more traditional SQL database models?
Topic 4 - When Kubernetes first got started, the focus was on scalable stateless (cloud-native) applications. How are you beginning to see the trend towards companies becoming more comfortable with stateful applications (e.g. databases) on Kubernetes?
Topic 5 - One of the new technologies that’s making it easier to get databases onto Kubernetes is “Operators”. CockroachLabs has been one of the leading platforms supporting this technology. Can you talk a little bit about your experience with Operators and how it images the way Kubernetes teams (developers or platform teams) about databases on Kubernetes.
Topic 6 - What are some of the lessons learned from deploying CockroachDB onto Kubernetes?
FEEDBACK?
Sam Charrington (@samcharrington, Host of TWIML & AI Podcast) talks about AI & ML trends in 2020, frameworks to understand usage patterns, hot new technology to explore, how long projects take to succeed, and the inherent bias built into every AI & ML model.
SHOW: 437
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SHOW NOTES:
Topic 1 - Welcome back to the show. Let’s start with the broad set of TWIML activities that you’re working on these days.
Topic 2 - You focus on AI & ML every week, across a lot of different domains and usages. It’s a broad scope. If you had to focus it on Enterprise/Business leaders, how do you structure a conversation around how to align business opportunity and technology choices?
Topic 3 - What are some of the most commonly used technologies being deployed around AI/ML systems? Any big shifts over the last couple of years?
Topic 4 - You’ve been around Cloud Computing and DevOps communities, which required companies to go through some people/process change to achieve success. What are the people/process changes that you typically see with AI/ML environments?
Topic 5 - If somebody asked you how they can put a timeline on when they’ll see value around their AI/ML, is that a realistic ask? What are the factors that go into achieving success in AI/ML projects?
Topic 6 - What are some of the interesting usages of AI/ML that you’ve seen in use recently?
Topic 7 - There has been quite a bit of discussion recently about bias in AI/ML algorithms. Can you explain what this means and how it could impact the system’s decision making?
FEEDBACK?
SHOW: 436
DESCRIPTION: Stephen Pinkerton (@spnktn, Product Manager @datadoghq) talks about the latest trends that Datadog has observed from monitoring serverless applications in the public cloud, adoption rates, as well as how serverless is deployed along with containers.
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SHOW NOTES:
Topic 1 - Welcome to the show; Tell us about your background, as you’ve worked for a number of interesting companies prior to Datadog.
Topic 2 - Datadog recently released a report about trends in serverless usage. Before we dive into some of the highlights and insights, tell us about the scope of the report.
Topic 3 - Highlights from the State of Serverless report
Topic 4 - As you’re analyzing this usage data, what are some of the things you’re thinking about as a Product Manager for functionality that you can provide to help better monitor these rapidly changing environments?
FEEDBACK?
SHOW: 435
DESCRIPTION: James Higginbotham (@launchany; Founder, Author, API Architect) talks about frameworks for evaluating API usage, developer perspectives on APIs, versioning APIs and some thoughts on new trends in API usage.
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CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
SHOW NOTES:
Topic 1 - Welcome back to the show; It’s been a while, let’s reintroduce you to our audience. Tell us about the types of things you work on.
Topic 2 - There are so many things going on with APIs these days, sometimes it’s hard to know where to start. Do you have a framework that you use to help companies think about APIs?
Topic 3 - Are there different perspectives that developers have if they are dealing with APIs for monolithic applications vs. microservices applications vs. external APIs?
Topic 4 - What is some of thinking around dynamically changing environments (e.g. DevOps, Agile) and APIs (versioning, testing changes, etc.)?
Topic 5 - What are some of the more critical things that you’re always reinforcing and educating people about APIs?
Topic 6 - We’re seeing more companies emerge that just deliver APIs as part of an ecosystem of services. How has this changed application development?
FEEDBACK?
SHOW: 434
DESCRIPTION: Christian Posta (@christianposta, Field CTO @soloio_inc) talks about the trends that are shaping the Service Mesh space, including emerging standards, application patterns, and interactions with API gateways.
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SHOW NOTES:
Topic 1 - Welcome to the show; you’ve been on PodCTL in the past. Tell us about your background, as you’ve been very active with application developers and distributed systems for quite a while.
Topic 2 - A few years ago, Service Mesh came onto the scene as a big deal (Istio, Linkerd, etc.) and people were trying to figure out what it was, what it did, etc. The technology has evolved quite a bit, but people are still oftentimes confused. How should we think about what a Service Mesh does (or doesn’t do)?
Topic 3 - What are the most common use-cases when Service Mesh is being used? What are some of the places where Service Mesh is discussed, but probably shouldn’t be used? (API-Gateway, code in an application, etc.)
Topic 4 - Sometimes we have a technology space that has lots of implementations (e.g. Kubernetes, Swarm, Mesos, etc.) that eventually converge into a single industry choice. But Service Mesh still has lots of implementations. Are they all really different? Will we see industry convergence around a standard? Do we need a standard?
Topic 5 - What are some of the areas where you expect that we’ll see advancements in Service Mesh in 2020?
Topic 6 - What are some of the best ways for people to start either learning more about Service Mesh, or trying out the technology to see if it makes sense for them?
FEEDBACK?
SHOW: 433
DESCRIPTION: Gene Kim (@RealGeneKim, Author, DevOps Researcher) talks about his new book “The Unicorn Project”, the follow-on to “The Phoenix Project, and the newest trends shaping DevOps and business success.
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SHOW NOTES:
Topic 1 - Welcome back to the show. It’s hard to believe it’s been 7 years since you were last on the show. Before we get into the Unicorn Project, let’s talk briefly about some of the other things you’ve been doing since The Phoenix Project (DevOps Handbook, DevOps Enterprise Summit, etc.)
Topic 2 - Let’s do a Cliff Notes version of The Unicorn Project. It picks up 2-3 years after The Phoenix Project - what are the challenges now facing Parts Unlimited?
Topic 3 - Without giving away the ending, there is a sense that the Unicorn Project team essentially says that DevOps is dead and they are going to do things a new way. Is that the message of the story?
Topic 4 - The hero of this story (Maxine) is what I’d call a “25x engineer”. She’s portrayed as super-elite in her engineering skills. I’ve also noticed that the State of DevOps report is also now adding a focus on these super-elite teams. Is that a good thing to focus on, since so few teams identify like that?
Topic 5 - This book talks about 5 “ideals”. How would you stack rank them in terms of ease or difficulty in achieving?
Topic 6 - In Unicorn Project, you have a very broad set of characters. Do you do this so that a broad set of people can identify within these challenging environments?
FEEDBACK?
SHOW: 432
DESCRIPTION: Aneel Lahkani (@aneel, Go To Market Consultant and Advisor) talks about how SaaS impacts today's cloud computing decisions, the challenges of running a profitable SaaS business, migrating to SaaS services, and how public clouds compete and partner with SaaS offerings.
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SHOW NOTES:
Topic 1 - Welcome back to the show. For anyone that doesn’t know you, tell us a little bit about your background, and some of the areas you focus on now.
Topic 2 - What is SaaS in 2020? (Delivery model, acquisition and usage model, experimentation model, etc.). Is it a finite thing, or has it been componentized?
Topic 3 - Is it possible to build software and then make it SaaS, or do the business and software have to be built in parallel with the SaaS offering?
Topic 4 - Does anyone actually “migrate” (successfully) existing types of applications to SaaS, or should the focus of SaaS be on breaking free from old approaches?
Topic 5 - We’re seeing many “tools” companies become “platform” companies and offer things that blur the lines between SaaS and something else (GitHub, Salesforce, etc.). Does this become the way that they compete against AWS or Azure?
Topic 6 - Why do you think AWS doesn’t have a broader set of SaaS offerings at this point?
FEEDBACK?
SHOW: 431
DESCRIPTION: Greg Knieriemen (@knieriemen, Director of Technology Evangelism at @NetApp) talks about the growing importance of data to reshape business, emerging data trends and standards, working around 5G networks and more.
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SHOW NOTES:
Topic 1 - Welcome back to the show. For anyone that doesn’t know you, tell us a little bit about your background, and some of the areas you focus on now.
Topic 2 - Let’s start by having an executive-level discussion about “data”. Everyone loves talking about developers and applications, but how do you explain to an executive about the value of managing data as a core business asset? What makes data so valuable in 2020?
Topic 3 - The world used to be “big servers” + “big relational database” + “storage array”. Now that model is blow up into 100s of distributed elements, lots of technology choices, lots of locations. Is there a way to think about data in these distributed models?
Topic 4 - What are some of the emerging data standards that people should be aware of, or learning more about? [alternatives to 5G]
Topic 5 - Data moved from a cost “liability” a while ago, to an “asset” as we started talking about Data Lakes and AI/ML models. Have you found any metrics or conversations that people understand (in the “analytics context”) about how we justify keeping data - or trying to acquire more data.
Topic 6 - We’ve got cheaper ways to store data, faster networks coming (e.g. 5G, alternative options) and cheaper/faster CPUs (e.g. ARM). When these dynamics change, new things emerge that we’ve never thought of before. Are you starting to hear people discuss interesting new business ideas yet?
FEEDBACK?
SHOW: 430
DESCRIPTION: Aaron and Brian discuss the biggest trends of 2019, and make bold cloud computing predictions for 2020.
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PODCAST BUSINESS:
CLOUD NEWS OF THE WEEK: The Cloudcast in 2019:
TRENDS and MAJOR STORIES from 2019:
2020 PREDICTIONS
Brian:
Aaron:
STARS WARS DISCUSSION:
For the 1st time ever, we indulge Aaron and talk a little bit of sci-fi on the
SHOW: 429
DESCRIPTION: Aaron and Brian discuss the biggest trends of the 2010s decade, and answer reader mailbag questions from 2019.
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TRENDS FROM THE DECADE (2010-2019):
READER MAILBAG QUESTIONS:
Question 1 - If you had to advise someone that’s 25, 35 and 45 about “career path” in IT, what tips might you give them? - Thomas T.
Question 2 - You guys see a lot of different technologies through the interviews. Which new ones do you think have longevity and which ones are potentially overhyped? - Michael C.
Question 3 - What “disruptive technology” is a more important skill to learn? - Erika B.
Question 4 - What the most misunderstood concept in IT today? Seema J.
Question 5 - Why do you think our industry is so obsessed with the idea that the new technology will completely eliminate the old technology? Has that ever really happened? - Jacob H.
SHOW: 428
DESCRIPTION: Aaron and Brian talk with Robert Reeves (@robertreeves, Co-Founder / CTO of @Datical) about how to bring agility to databases to match the speed of cloud-native applications.
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CLOUD NEWS OF THE WEEK:
SHOW NOTES:
Topic 1 - Welcome to the show. Before we get into a broader discussion, tell us a little bit about your background.
Topic 2 - We talk about DevOps a lot on this show. And we talk a lot about various types of databases. But for some reason, we very rarely talk about them together. Why is that? It’s not as if the world of cloud-native applications are all stateless.
Topic 3 - What do you see as the most common challenges that companies have with bringing databases into this world of more frequent software changes (DevOps, Agile, etc.)?
Topic 4 - You’re involved in an open-source project called “LIquibase”, which is focused on database schema change management. How does that help database move into a more automated world?
Topic 5 - Do you find that a lack of automation around databases is a bigger challenge from a continuous deployment perspective, or a security/patching perspective? (or both)
Topic 6 - People are very fearful of databases going down, which restricts them from making changes. How do you suggest companies getting more comfortable in making frequent changes to databases?
FEEDBACK?
SHOW: 427
DESCRIPTION: Brian reviews the big themes from AWS re:Invent 2019, as well as “most” of the new announcements.
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CLOUD NEWS OF THE WEEK:
FEEDBACK?
SHOW: 426
DESCRIPTION: Aaron and Brian talk to Mark Weitzel (@weitzlm, VP & General Manager, New Relic One at @NewRelic) about building effective developer platforms including lessons learned, best practices and trade offs to consider
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CLOUD NEWS OF THE WEEK:
SHOW INTERVIEW LINKS:
SHOW NOTES:
Topic 1 - Welcome to the show. Before we get into a broader discussion, tell us a little bit about your background.
Topic 2 - Before we dig into the New Relic Developer Program, we wanted to get your perspective on what “developer” means these days - Is it AppDev, DevOps, Data Scientist, Business Analyst? How do you try and put personas around different “developer” needs?
Topic 3 - One of the things I find in working with businesses that are going through transformational change (via technology) is how many don’t understand that their new world (“enabling developers”) will begin to look like a technology vendor’s approach to the market (“enabling developers”). Do you find your customers begin to adopt their internal programs to look like the program that you’ve rolled out with New Relic One?
Topic 4 - What are some of the most important/critical aspects of the program, and how do you measure its progress, its success, or its areas to improve?
Topic 5 - How did you think about balancing the need for content for newer developers (or new to the platform) vs. more expert-level developers?
Topic 6 - How important is community to making the program a success, and helping it scale?
FEEDBACK?
SHOW: 425
DESCRIPTION: Aaron and Brian take a look at the Docker acquisition and review the Microsoft Ignite show and announcements
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CLOUD NEWS OF THE WEEK:
SHOW INTERVIEW LINKS:
SHOW NOTES:
Topic 1 - Insight and feel from the show floor and the event
Topic 2 - Azure Arc
Topic 3 - Project Cortex
Topic 4 - Baby steps in GitHub integration
FEEDBACK?
SHOW: 424
DESCRIPTION: Aaron talks with Evelyn Padrino (@evepadrinosanta, Azure Customer Success) & Brian Blanchard (@brianblanchard, Azure Cloud Adoption Framework Team) about adopting cloud, patterns of adoption, use cases and how the Azure Adoption Framework is helping their customers.
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CLOUD NEWS OF THE WEEK:
SHOW INTERVIEW LINKS:
SHOW NOTES:
Topic 1 - Welcome Evelyn and Brian. Let’s start at the start, can both you give a brief intro?
Topic 2 - You both represent the Azure Cloud Adoption Framework team. What is it and how did it come about?
Topic 3 - You have a concept the really resonates with me and customers I’ve spoken too, the idea that no one’s cloud journey is the same. There is a formal blueprint to success. Define a strategy, plan the business outcomes, prepare the environment, implement the initial changes and migrations. From there we move to the operations stage that includes governance and management of operations.
Topic 4 - Is this a product? A service? A blueprint? What is the most common pain you see in your customers? Why?
Topic 5 - Do you have customer success stories and common examples/use cases you can share?
FEEDBACK?
SHOW: 423
DESCRIPTION: Brian talks with two entrepreneurs from the MetLife Digital Accelerator powered by Techstars program about their startups (Smiletronix and LazarusAI) about how technology is helping to give people more control over their health and use AI to improve doctor's ability to detect cancer and other deadly diseases.
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SHOW INTERVIEW LINKS:
SHOW NOTES:
Smiletronix (@Smiletronix) - Yashar Faranjani (@yashar_f), Co-Founder & CEO - Personalized dental health screenings, handheld device
Lazarus (Cambridge, MA) - Ariel Elizarov (@aelizarov12), Co-Founder & CEO - AI for cancer screenings
FEEDBACK?
SHOW: 422
DESCRIPTION: Brian talks with two entrepreneurs from the MetLife Digital Accelerator powered by Techstars program about their startups (The Difference, and Zogo Finance) about how people are trusting some of their most important and personal relationships and learning to new services offered via the Internet instead of face-to-face. We explore this generational change in how we've evolved to trust the Internet.
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SHOW INTERVIEW LINKS:
SHOW NOTES:
The Difference (@thedifferenceAI) - Bea Arthur (@BeaArthurLMHC), Co-Founder/CEO - on demand therapy via phone (or Alexa)
Zogo Finance (@zogofinance) - Bolun Li, Co-Founder & CEO - Teaching kids personal finance through incentives
FEEDBACK?
SHOW: 421
DESCRIPTION: Brian talks with Julia Evans (@b0rk, software engineer, data scientist, ‘zine artist) about the fundamentals of HTTP/HTTPS, and the interaction of web traffic with CDNs, Load-Balancers and Edge Proxies.
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CLOUD NEWS OF THE WEEK:
SHOW INTERVIEW LINKS:
SHOW NOTES:
Topic 1 - Welcome to the show. Before we get into a broader discussion, tell us a little bit about your background.
Topic 1a - We’ve followed your “zines” via Twitter for a while. They cover quite a large number of topics. Give us some background on how you started taking this self-learning process and turning it into a visual medium?
Topic 2 - You’ve recently been doing a bunch of work around HTTP. Most people know HTTP as the thing they type into a web-browser (sometimes). Let’s dig into why it might be important for people to know more about how the lifecycle of HTTP can impact their application performance.
Topic 3 - Lots of the content we access on the Internet is stored/cached in CDNs around the world. Walk us through the basics of how CDNs work, and some of the interactions between HTTP and CDNs that can either improve performance or generally make an application’s life miserable.
Topic 4 - Beyond CDNs, another big element that impacts HTTP traffic is load-balancers. Many people understand how basic IP-load balancing works, but how can it be different between L4 and L7 load-balancers?
Topic 5 - Now how does encryption factor into all of this, as things like HTTP or TLS become part of the traffic? What are some of the guidelines that either developers or infrastructure teams should be thinking about with regard to those encrypted streams?
FEEDBACK?
SHOW: 420
DESCRIPTION: Brian talks with Nicolas Vandenberghe (@NicolasVDB, Co-Founder at @ChiliPiper) about the buying and selling of SaaS services, how to streamline interactions, and how to better engage with potential SaaS users.
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CLOUD NEWS OF THE WEEK:
SHOW INTERVIEW LINKS:
SHOW NOTES:
Topic 1 - Welcome to the show. You have quite a broad background in the SaaS space. Can you tell us a little bit about your background prior to founding Chili Piper?
Topic 2 - The buying of IT services has become so distributed, not only the buyers, but the influencers, and the actual sellers. Can you help us better understand the bigger picture about the processes involved in information gathering, decision-making, and then the on-going relationship with the services being bought?
Topic 3 - Chili Piper brings together, or orchestrates, the ability to gather and use information from lots of tools that help sales, marketing, and analytics teams (Hubspot, Marketo, Eloqua, Salesforce, Twillio, etc.). How does the work you do translate into the teams that need either a bigger picture, or sometimes a smaller more granular picture of the market?
Topic 4 - Can you talk about some examples of how your customers leverage the Chili Piper technologies to improve their performance or market perspective?
Topic 5 - Are the tools and techniques that Chili Piper brings to market specific to the SaaS business model, or could they equally be applied to other more CAPEX-centric or Contract-centric business models?
FEEDBACK?
SHOW: 418
DESCRIPTION: Brian talks with Joseph Landes, (@josephlandes, Chief Revenue Officer @GetNerdio) about the unique characteristics of the Azure Cloud, how MSPs are able to differentiate or partner in the market with public clouds, and how Nerdio helps bring together popular services in simple ways.
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Topic 1 - Welcome to the show. Before we talk about Nerdio, tell us about your background prior to joining the company, and about your focus today.
Topic 2 - We spend quite a bit of time on this show talking about the technology offerings of Azure (and other clouds). Give us a sense of what the partner ecosystem of companies building enabling services on Azure looks like today.
Topic 3 - Lets talk about how Nerdio interacts between Azure services and Managed Service Providers (MSPs). Help us understand the interaction between that ecosystem.
Topic 4 - Traditionally, MSPs had the advantage of being regionally close to customers, and having some ability to differentiate based on vertical markets. How has their world evolved over time, what are their biggest struggles today, and how does Nerdio help them be more successful?
Topic 5 - We often look at Azure holistically, through the broad lens of 100s of services. Is it better to look at them in groups of services, targeting a specific market segment or market vertical?
FEEDBACK?
SHOW: 417
DESCRIPTION: Brian talks with Ellen Korbes (@ellenkorbes, Developer Relations at @garden_io) about the emerging sets of tools and frameworks to make it easier for application developers to interact with Kubernetes.
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Topic 1 - Welcome to the show. Tell a little bit about your background, and some of the things that you do in your day-to-day of Developer Relations with Garden.
Topic 2 - Kubernetes is a weird system because it involves containers and schedulers, neither of which developers really want to deal with. So why has Kubernetes become so popular, if it’s potentially not that friendly for developers?
Topic 3 - There has been a lot of activity in open source communities to create ways to make it easier for developers to work with Kubernetes. Some of those have been “PaaS” offerings (s2i, buildpacks, etc.), and some have been new tooling (e.g. Helm, Draft, Skaffold, Forge, Telepresence, Garden, and Tilt). Can you tell us about some of the new tooling - how do they map to developer needs?
Topic 4 - In going through the different tools, what have you found are the ones that make the most immediate impact for developers?
Topic 5 - As Kubernetes get more popular and widely used, do you think it’s important for developers to have to learn about Kubernetes? Or do you think that the external tooling will abstract it enough for them to be productive without that knowledge?
FEEDBACK?
SHOW: 416
DESCRIPTION: Brian talks with Björn Rabenstein (Engineer at @Grafana) about the intersection of Dashboards, Metrics, Monitoring and Observability.
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Topic 1 - Welcome to the show. Tell about your background prior to joining Grafana Labs. (worked with Julius Volz at Soundcloud, guest on The Cloudcast on Eps.263 and Eps.319).
Topic 2 - I saw a tweet the other day that said, “CIO directive to cut contracts because they have 37 monitoring tools and still the reliability is poor...". Your talk at VelocityConf is about the hype around observability and monitoring. What is the state of Ops visibility?
Topic 3 - Let’s start by talking about good hygiene and good practices. What types of things should Ops teams, SREs and even Developers always been doing to have good visibility of their environments?
Topic 4 - What are the big mistakes that companies make, or what anti-patterns are becoming more pervasive?
Topic 5 - As a builder of tools, and an operator of tools, what are some of the things you wish more Dev knew, but maybe don’t know what to ask?
FEEDBACK?
SHOW: 415
DESCRIPTION: Brian talks with Paul Osman (@paulosman, SRE Engineering Manager @UnderArmour) about aligning business value to Chaos Engineering, measuring its impact, and changing team culture to embrace the chaos.
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Topic 1 - Welcome to the show. Before we get into Chaos Engineering, let’s talk a little bit about your background and some of the things you did prior to joining Under Armour.
Topic 2 - We’ve talked about Chaos Engineering a few times on the show before. At a company level, what are some of the things (Connected Health) where it makes sense for Under Armour to be investing in Chaos Engineering and developing expertise around this discipline?
Topic 3 - Walk us through how a team at Under Armour thinks about Chaos Engineering, from the business need to think about scheduling it (or not scheduling it), measuring it, and then communicating the results back within your team and to management.
Topic 4 - I think people think that Chaos is a periodic event, like a DR test, but in reality, it needs to be somewhat of an on-going activity. How do you connect the dots between this on-going Chaos and actual problems in your systems - and how/when to measure problems (or what to measure)?
Topic 5 - What is the most difficult part about getting the team culture to understand that Chaos is an important part of day-to-day activities and dealing with “failure” being part of the system?
FEEDBACK?
SHOW: 414
DESCRIPTION: Brian talks with Sebastien Goasguen (@sebgoa, CTO/Co-Founder at @TriggerMesh) about the evolution of the Knative project.
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Topic 1 - Welcome back to the show. Almost a year ago, you launched TriggerMesh with Mark Hinkle. How is the business doing?
Topic 2 - A couple of years ago, you helped create a technology called Kubeless, to do Serverless/FaaS on Kubernetes. And then Knative came along. For people that aren’t familiar with Knative, can you give us a Tl;DR on what it is and how it has evolved as a standard for Kubernetes?
Topic 3 - Let’s talk about the different elements of Knative and how each one of them is evolving - Build, Serving and Eventing.
Topic 4 - Can we talk about the differences between “Serverless” and “Functions-as-a-Service”, especially in the context of different frameworks, and event sources?
Topic 5 - Triggermesh has been very early in delivering Serverless or Functions-as-a-Service via Knative. What are some of the lessons you’ve learned (use-cases, customer preferences, area of education) over the last year?
Topic 6 - Do you have any insight into some of the things that might be coming next in Knative?
FEEDBACK?
SHOW: 413
DESCRIPTION: Brian talks with Heidi Waterhouse, (@wiredferret, Developer Advocate @LaunchDarkly) about the challenges of balancing stability and agility, from a technology perspective and a cultural perspective.
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Topic 1 - Welcome to the show. We’re going to talk about broken systems today, but before we get into that, let’s talk about your background, and what types of things you work on at LaunchDarkly.
Topic 2 - As we start seeing companies adopt a lot of these new technologies and methods (Agile, DevOps, Microservices, Distributed Systems, Cloud-Native Apps, Continuous Integration, etc.) we’re seeing them go through this interesting transformation of having to think differently about how things should work and how they might break. This is an area that you talk about quite a bit.
Topic 3 - There is a 5 9s mentality and there is a release daily intro production mentality that sort of seem at odds with each other. How do we start figuring out how to manage that big space in between those two world views? Or can they be the same?
Topic 4 - By adding in error budgets, layered access, and other accommodations for failure and for designing our systems for function over form or purity - we learn how to add resiliency to their system by learning to trust but mitigate their reliance on the perfect performance of their underlying tools.
Topic 5 - You get to talk to a lot of developers and architects. What are some of the best ways that you’ve seen them not only grasp these concepts but communicate them up to their management chains so they educate them about the terminology and concepts?
FEEDBACK?
SHOW: 412
DESCRIPTION: Brian talks with Brandon Whichard (@bwhichard, Co-Host of Software Defined Talk podcast) about the tech/cloud trends that have shaped the first half of 2019.
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Topic 1 - Welcome to the show. I’ve been listening to your show, Software Defined Talk, for quite a while. Tell us about your show, your co-hosts and the types of things you discuss on the show?
Topic 2 - What are some of the biggest trends you’ve seen (or been discussing) so far in 2019? Anything really surprise you?
Topic 3 - AWS has continued to be the leading public cloud for a decade now. Do you see anything slowing AWS down?
Topic 4 - There were lots of articles earlier in the year about big public cloud contracts between web companies and the public cloud (hundreds of millions in cloud spending). Many of those companies are now struggling as they have gone IPO. If they struggle to make revenue (and subsequently their cloud payments), do you see this having any effect on sentiment about public cloud?
Topic 5 - There is starting to be some noise in the news and the markets about a potential economic slowdown. How much do you think about what that might mean to the tech industry, and subsequently buyers and users of tech? Sometimes in slower times, we see the creativity of new tech emerge (2001 - mass websites; 2007/8 - AWS and iPhone, 2019/2020 - ??)
FEEDBACK?
SHOW: 411
DESCRIPTION: Brian talks with Brian Platz (@bplatz, CEO/Co-Founder at @Flureee) about blockchain use-cases outside of cryptocurrencies, immutable data, graph databases, and building APIs on data.
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Topic 1 - Welcome to the show. Before we jump into Fluree and the breadth of technologies that power the stack, let’s talk about your background and what drove you to create Fluree.
Topic 2 - Let’s start with the problems - why does the industry need a new data management stack? What types of use-cases or data-management problems does the Fluree stack address?
Topic 3 - Let’s talk about the Fluree stack, because it brings together several technologies (e.g. Blockchain, GraphQL, etc.) that have gotten a lot of hype, but people aren’t always sure how they should be used.
Topic 4 - When we step back and look at the Fluree stack, we see a focus around distributed architectures, immutability, graph data richness. Much of this sounds like it aligns to aspects of what is known as the Semantic Web. Are there connections there?
Topic 5 - Let’s talk about your philosophy about API management and exposing data at the data-layer instead of the app-layer. What are the pros and cons of this sort of trade-off, and what are some of the things either data or app teams need to consider with this approach?
FEEDBACK?
SHOW: 410
DESCRIPTION: Aaron and Brian talk with Kevin McHale (Senior Staff Engineer at Etsy) about the migration of their Big Data / Data Science platform from on-premises to Google Cloud, the business drivers for the migration, and the lessons the team has learned throughout the multi-year process.
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Topic 1 - Welcome to the show. Before we dive into your work at Etsy, tell us a little bit about your background prior to Etsy - you’re pretty good at math.
Topic 2 - You’ve been working on two very interesting projects at Etsy - both building/evolving the data platform, and helping to manage the migration to Google Cloud Platform (GCP). Let’s start by talking about the Etsy data platform.
Topic 3 - What have been some of the business drivers that are pushing the data platform to collect more information, to become more cloud-native, and to better enable data pipelines?
Topic 4 - At some point in 2017-18, Etsy decided to migrate some of the platforms to Google Cloud. Tell us about that decision-process, and how the migration has been going. What have been some of the lessons learned?
Topic 5 - How does working with Google Cloud (or just being in the public cloud) help accelerate the work that you’re doing on evolving the Etsy data platform?
FEEDBACK?
SHOW: 409
DESCRIPTION: Corey Hynes, (@CoreyJHynes, CEO Learn on Demand Systems, @LoDSystems) talks about the need for hands-on ways to learn new skills, train IT professionals, and how innovative companies and individuals are adapting to the new culture of tech learning challenges.
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Topic 1 - Welcome to the show. We’re obviously passionate about helping people learn with this podcast, but why don’t you tell us about your background and what makes you passionate about helping people learn at Learn on Demand Systems.
Topic 2 - While we spent a lot of time covering the evolution of cloud technologies, the way that people learn today has evolved enormously as well. Help us understand the breadth of ways that Learn on Demand helps people learn - from Labs to Challenges to other forms?
Topic 3 - One product that you recently started offering is called “IT Pro Challenges”. We’ve heard you say in other forums that you’re a big believer in hands-on learning. How does IT Pro Challenges help make sure that people get the actual skills they are learning?
Topic 4 - A big part of learning is motivation - finding the time to learn, finding the motivation to try something new. What are some of the things that Learn on Demand Systems does to help motivate people to engage in the various types of learning systems you offer?
Topic 5 - What is your message to people (individuals, managers, etc.) watching all these new technologies emerging and trying to figure out how to either pick the right learning/technology path for themselves, or generally putting a plan in place to improve themselves?
FEEDBACK?
SHOW: 408
DESCRIPTION: Brian talks with Devesh Garg (Co-Founder/CEO of @arrcusinc) about the growth of Arrcus, the evolution of the network (5G, IoT Edge, DC to Cloud, SDN), and the new economics of networking.
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Topic 1 - Welcome back to the show. It’s been just about a year since we last spoke, you were just launching the company (amazing engineering experience and advisors). What has the last year of disrupting the networking industry been like? Tell us how the latest round of funding will help Arrcus grow.
Topic 2 - Everything is connected now (way behind user-devices), everything is collecting and transmitting data, and we have no patience for the delay. Paint us a picture of how the network is evolving to deal with 5G, AI/ML at the edge, DC to Cloud interconnects, etc.
Topic 3 - Arrcus has been focused on bringing better speeds and agility to networking. As more networking moves to SDN and SoC, how have companies been able to measure the gains that come from these new approaches to networking?
Topic 4 - Arrcus recently announced multiple high-density 100GbE and 400GbE routing solutions for Hyper-scale Cloud, Edge, and 5G networks and ArcIQ, “AI-driven analytics platform that provides enhanced real-time visibility, control, and security”. Tell us about the new solutions and how this changes the model for network and cloud operations teams
Topic 5 - What have you found to be the most critical areas of focus for the modern network operator, especially given the pace of innovation that offers them not only opportunity but also the challenges of keeping up with change?
FEEDBACK?
SHOW: 407
DESCRIPTION: Aaron and Brian talk with Stu Miniman, (@stu, Sr Analyst, Host of @theCUBE, and GM of Content at SiliconANGLE Media) about the Amazon re:MARS event, and how it addressed technology trends in Smart Cities, Drones, Voice-Controlled Apps, IoT, Alexa, AR/VR, and AI/ML.
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Topic 1 - Welcome back to the show. You get to talk to more communities that we do. What are some of the interesting topics, trends or people you’ve seen over the last few months of traveling and events?
Topic 2 - Jeff Bezos has apparently been hosting his own MARS event for a while now. Why did it become an Amazon event now?
Topic 3 - MARS is Machine Learning, Automation, Robotics and Space. Some of that overlaps with AWS (Machine Learning, Automation), and some is on the fringe of AWS (Space). Who was attending this event and what were the overall themes?
Topic 4 - There seem to be a number of sessions that included venture capital. Do you see this event as being less like a normal tech event, and more like a blurring of tech and VC, because some of these topics could involve significant levels of funding (smart cities, manned space travel, etc.)?
Topic 5 - AWS recently had an event called re:Inforce, which was targeted at Security. Do you think we’re beginning to see the disaggregation of re:Invent into specialty events and sub-categories of technology interests?
FEEDBACK?
SHOW: 406
DESCRIPTION: Brian talks with Steve Kearns (@skearns64, VP Product Mgmt @Elastic) about how search is being used in many ways of our day-to-day life, how search has evolved to be a core element of Analytics platforms, and how Elastic search is evolving to help the next generation of developers in area like APM, Security, Metrics, etc.
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Topic 1 - Welcome to the show. Before we get into your work at Elastic, can you tell us a little bit about your background?
Topic 2 - Let’s start with the basics of search. Everyone knows about how they use Google for their day-to-day activities, but what are some of the common uses of search in a business or IT context that people might not think about or know about?
Topic 3 - Elastic is mentioned very frequently in the “search” discussion, but then it’s also included in a number of popular “stacks” (ELK stack, EFK stack, etc.). How does Elastic think about search being a core component of many other stacks (Metrics, APM, Security, etc.), some of which you may not have any immediate visibility to?
Topic 4 - What are some of the evolutions that are happening around search (or broader stacks) that are interesting to developers?
Topic 5 - How does Elastic think about how or when customers (or developers) are consuming Elastic technologies, across OSS, commercial software and SaaS offerings?
FEEDBACK?
SHOW: 405
DESCRIPTION: Aaron and Brian talk with Emil Eifrem, (@emileifrem, Founder/CTO @Neo4j) about the emergence of graph databases, common use-cases, and how developers are thinking about new ways to leverage graph databases.
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Topic 1 - Welcome to the show. You’ve been the CEO of Neo4j for over a decade now. How has the landscape around application-usage of data changed in the most significant ways?
Topic 2 - For many decades, most data-centric applications were built around Relational Databases (SQL Databases). These days, application patterns and use-cases have expanded significantly. How do graph databases fit into these new trends?
Topic 3 - With all the new patterns emerging, there are both business reasons and technical reasons for choosing the right database platform. How do you find the business-level thought process happening (contributing, influencing) around platform choice? How do you find the technical-level thought process happening (contributing, influencing) around platform choice?
Topic 4 - Every company that’s involved with the commercialization of open source projects is trying to figure out the best way to manage a portfolio between OSS, software offerings and cloud offerings. How does Neo4j think about that balance?
Topic 5 - Getting developer momentum and mass around a set of patterns is critical. How does Neo4j think about enabling developers, and what are some of the things you’ve done to accelerate their success and consistent learning?
FEEDBACK?
SHOW: 404
DESCRIPTION: Brian talks with Alexis Richardson (@monadic, CEO @weaveworks, Chair of TOC @CNCF) about the carbon footprint of technology conferences and a growing interest in making them more environmentally friendly.
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Topic 1 - Welcome back to the show. We’ve just now wrapped up the spring conference season and you’re helping to kick off a new focus on an interesting aspect of conferences.
Topic 2 - Obviously climate change is a big talking point in political campaigns right now. Do you think that’s what is driving this discussion around conference now (vs. another moment in time)?
Topic 3 - You’re helping to create a “Climate Code of Conduct”. It’s still early, but what are some of the guiding principles that are being explored?
Topic 4 - Given the complexity of all that could be involved in improving the climate impact of conferences, do you think it’s more important to start making smaller changes (low-hanging fruit) or establishing really bold guidance?
Topic 5 - Have any discussions about this started with any conferences yet? If conference organizers are listening, how would you suggest they potentially engage with the group that is discussing this?
FEEDBACK?
SHOW: 403
DESCRIPTION: Brian talks with Jose Nino (@junr03, Software Engineer @Lyft) about how they evolved from a monolithic application to 300+ microservices, including a service mesh using the Envoy proxy.
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Topic 1 - Welcome to the show. Tell us a little bit about your background and some of the things you work on at Lyft.
Topic 2 - Lyft was the original creator of the Envoy proxy project. As Lyft was going through their migration from a monolith to microservices, when did they realize that they needed to start creating a service mesh.
Topic 3 - What functions of Envoy does Lyft use for both networking and security?
Topic 4 - How does Lyft manage who interacts with the Service Mesh, since it has impacts on the applications (microservices) and the infrastructure teams (networking, security)?
Topic 5 - What recommendations would you make to any other teams that are evaluating Envoy or Service Mesh technologies?
FEEDBACK?
SHOW: 402
DESCRIPTION: Brian talks with David Aronchick (@aronchick, Head of Open Source Machine Learning @Azure) about the history of the KubeFlow project, how it has evolved as a community, and how KubeFlow is making it easier to get started with Machine Learning on Kubernetes.
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Topic 1 - Welcome to the show. Tell us about your background, especially as you’ve come to be involved in both open source and machine learning or AI.
Topic 2 - You’ve been involved in the KubeFlow project since its creation a couple of years ago. Can you introduce us to the project and how it’s evolved over the last couple of years?
Topic 3 - The stated goal of KubeFlow is to make machine learning workflows simple, repeatable and scalable. Can you walk us through some of the ways that KubeFlow is beginning to achieve these goals?
Topic 4 - For those people that understand Kubernetes, can you explain how KubeFlow interacts with Kubernetes, and maybe a little bit about how KubeFlow gets value from Kubernetes for these ML workloads?
Topic 5 - What are some of the new areas in this space that you’re excited about?
Topic 6 - For people new to this area, what are some of the easier ways for them to get started?
FEEDBACK?
SHOW: 401
DESCRIPTION: Aaron and Brian continue the "Four for Four Hundred" shows, with a focus on community engagement. Then Brian talks with Amy Lewis (@commsninja, Director Influence Marketing @VMware) about the importance of finding a community for technical learning, career advice, mentorship, and helping you find the joy in your current or future jobs.
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Topic 1 - Welcome back to the show. What types of things are you working on these days, especially in the context of people getting support from communities?
Topic 2 - Tell us about the feedback you’re getting from community members about the importance of technical skills vs. industry-specific knowledge or skills.
Topic 3 - You often recommend “doing an interview” to gauge how well prepared someone is to find a new job, or understand new jobs. Can you elaborate on some examples of how to do this - the “frienderview”.
Topic 4 - Is it ever a good time to align your resume to the current buzzwords of the industry? How far away are your current skills from where you want to be?
Topic 5 - What are some tips for learning the domain-specific terminology as people move into new industries?
Topic 6 - How are you finding ways to Spark Joy in your communities?
FEEDBACK?
SHOW: 400
DESCRIPTION: Aaron and Brian continue the "Four for Four Hundred" shows, with a focus on engineering career opportunities. Then Brian talks with Nick Weaver (@lynxbat, Engineering Leader) about transitioning from customer to vendor, from junior to senior engineers, and the realities of Digital Transformation.
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Topic 1 - Welcome back to the show, it’s been way too long. What are you up to these days?
Topic 2 - We wanted to bring you back on because you’ve gone through quite a few transitions as an engineer, from infrastructure to cloud to vendor-side to customer-side. Can you share some of the ways that you were able to make transitions, and how you overcame concerns about some of the big leaps?
Topic 3 - Some projects are a success (EMCworld Labs), often wildly successful. How did you deal with success, and then how did you deal with the ongoing maintenance once the shininess wore off?
Topic 4 - Some projects are less successful (vCloudAir). How did you personally handle some of the problems, and how did you grow from it?
Topic 5 - You’re in an engineering leadership role now (and have been for the last few years). How has that changed your perspective, and what are some of the lessons you’ve learned?
Topic 6 - Can you quickly tell the stories of all the Nick Weavers?
FEEDBACK?
SHOW: 399
DESCRIPTION: Aaron and Brian continue the "Four for Four Hundred" shows, with a focus on following the money in cloud computing. Then Brian talks with Corey Quinn (@QuinnyPig, Cloud Economist @ Duckbill Group) about the economic realities of being all-in on the public cloud.
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Topic 1 - Welcome back to the show. You’ve become a multi-media star since your last appeared (newsletter, podcasting, stand-up comedy, co-hosting theCUBE, live blogger, etc.).
Topic 2 - In case you haven’t noticed, revenues in the public cloud have grown quite a bit in the last few years. And not a day goes by without some web company announcing their monthly AWS spend. Walk us through the world of an organization that is a reasonably heavy spender in the public cloud. Are there steak dinners and rounds of golf still involved?
Topic 3 - We hear about long-term contracts being negotiated with public cloud providers. How do these negotiations go, and where are customer’s leverage points?
Topic 4 - What are the typical stages of Cloud Adoption and Cloud Grief?
Topic 5 - Do you find that legacy IT is actually brought along on the journey to large-scale public cloud usage? If so, what is the transition process for people/groups used to CAPEX and Hardware and ELAs and Data Centers?
FEEDBACK?
SHOW: 398
DESCRIPTION: Aaron and Brian kick off "Four for Four Hundred" by discussing the massive evolutions of the industry over the last 8 years. Then Brian talks with Joe Emison (@JoeEmison, Co-Founder/CTO at Branch Insurance) about the next generation of serverless technologies to help develop applications, focusing only on creating business value, communicating this new approach to engineers, and leveraging technology to take on big markets.
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Topic 1 - Welcome back to the show. It’s been way too long. Tell us about your new company and some of the things you’ve been working on.
Topic 2 - The last time you were on it was the earlier days of serverless. Since then, you’d stayed active around serverless, but have been vocal about how the space has evolved. Where has your experience taken you over the past couple of years?
Topic 3 - You talk (and write) a lot about only focusing on building business value. That’s a hard concept for some technologists to grasp, as they always believe there is some amount of technical debt to own. How do you communicate your perspective on this to people?
Topic 4 - The last time you were on, we talked about thick clients and Netlify and some things that were new to us. What are some of the tools/services you really like these days?
Topic 5 - You’re trying to re-establish the home and auto insurance bundling business. There are big names in this space. How does your technology philosophy allow a small startup to compete against very well established (and funded companies)?
FEEDBACK?
SHOW: 397
DESCRIPTION: Brian talks with Matthew Creager (@matt_creager, Co-Founder & VP Developer Relations @manifoldco) about the challenges of cloud silos, connecting apps to multiple cloud services, the importance of collaboration beyond just coding, and how Manifold makes it simpler to integrate apps to align to business needs.
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Topic 1 - Welcome to the show. Tell us about your background prior to Manifold, and what motivated you to focus on this new model of application development and integration.
Topic 2 - I know one truth about developers, that they prefer things to be simple or taken care of for them. Beyond that, I’m not sure of any absolute truths. It seems like Manifold is somewhere near the intersection of Low-Code and PaaS and Integration Services (API Gateways or Middleware) and CI/CD. Beyond simplicity, how do you describe what Manifold does?
Topic 2a - What is the interaction between the Manifold services and Prefab.cloud services?
Topic 3 - I really like the idea of shared projects and shared billing. How much do you find that overlapping or re-inventing slows down developers?
Topic 4 - Can you help us understand the business model or community model?
Topic 5 - Can you share any examples of how Manifold has helped companies and teams accelerate their application development models?
FEEDBACK?
SHOW: 396
DESCRIPTION: Aaron and Brian talk with Renaud Boutet (@boutetren, VP Product Management @datadoghq) about logging, monitoring, observability, and the challenges of balancing the collection of the right data with the costs of all the data.
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Topic 1 - Welcome to the show. Tell us about some of your background prior to joining Datadog, and about your focus areas today.
Topic 2 - Let’s start with some conceptual buckets - how do you sort out the differences when people say “monitoring” vs. “logging” vs. “observability”?
Topic 3 - Logging has the inherent tradeoff between the desire to “log everything” and the limitation of costs to log (and retain everything). What are some of the trends to potentially make this tradeoff more manageable?
Topic 4 - At some point, the tradeoff between sending logs, filtering logs, storing logs all boils down to a financial trade-off of immediate costs vs potential costs associated with failure. How do you see those conversations playing out in real life? Any suggestions on a framework for doing those types of analysis?
Topic 5 - What role do you see AI playing in the future of Logging/Observability? It seems like that needs to become the next big step if the industry solves the challenges of logging/storage more and more.
FEEDBACK?
SHOW: 395
DESCRIPTION: Brian talks with Dr. Steve Herrod (@herrod, Managing Director at General Catalyst @gcvp) about the transition from CTO to VC, the role of AI and Security in today’s startups, the impact the public cloud has on his evaluations, and tips for selecting the right companies and leaders.
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Topic 1 - Welcome back to the show. It’s now been 6 years since your transition from VMware to the VC world. What are some of the lessons you’ve learned?
Topic 2 - When you were a CTO, you were building a comprehensive portfolio. How does that perspective change when you’re looking at a broad range of portfolio companies?
Topic 3 - Your companies tend to skew towards cybersecurity, where AI is going to play a significant role. How do you think about them from a technology perspective, and how much does the cloud’s resources for data modeling help or challenge them?
Topic 4 - What’s your perspective on the role of open source software for enabling your companies?
Topic 5 - Given your background, how much do you get involved in growing the engineering talent at your portfolio companies?
Topic 6 - Any tips for potential startups wanting to pitch high-level VCs?
FEEDBACK?
SHOW: 394
DESCRIPTION: Brian talks with Evan Kaplan (@evankaplan, CEO of InfluxData) about why companies choose time-series databases, commons use-cases, how time-series patterns align to changing business goals, and how to translate business demands to developer capabilities.
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Topic 1 - Welcome to the show. You’ve been the CEO of InfluxData for a few years, but please share with the audience your background and how you came to lead InfluxData.
Topic 2 - For many decades, most data-centric applications were built around Relational Databases (SQL Databases). These days, application patterns and use-cases have expanded significantly. How do time-series databases fit into these new trends?
Topic 3 - With all the new patterns emerging, there are both business reasons and technical reasons for choosing the right platform. How do you find the business-level thought process happening (contributing, influencing) around platform choice? How do you find the technical-level thought process happening (contributing, influencing) around platform choice?
Topic 4 - Every company that’s involved with the commercialization of open source projects is trying to figure out the best way to manage a portfolio between OSS, software offerings and cloud offerings. How does InfluxData think about that mix, and what are you seeing in terms of customer-demand trends?
Topic 5 - Getting developer momentum and mass around a set of patterns is critical. How does InfluxData think about enabling developers, and what are some of things you’ve done to accelerate their success and consistent learning?
FEEDBACK?
SHOW: 393
DESCRIPTION: Brian talks with Matt Oswalt (@mierdin, NRE @JuniperNetworks) and Derick Winkworth (@cloudtoad, Product Marketing Manager @JuniperNetworks) about how networking has adapted to DevOps and SRE, internally marketing the evolution to teams, and how NRE Labs are helping network engineers get up to speed.
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Topic 1 - Welcome to the show Derick and welcome back Matt. Tell us about your background and some of the things you’re working on now at Juniper.
Topic 2 - We talked a couple weeks ago with Gustavo Franco from Google about SRE, you guys have been working on something you’re calling “NRE”. Tell us about the NRE concept and how this fits into the world of Networking and DevOps.
Topic 3 - Networking hasn’t been a very static thing in a long time (DHCP, WiFi access, VPNs), but now we also have applications joining and changing on a regular basis (CI/CD pipelines, containers, etc.). So how is that world changing the demands on “DevNetOps”?
Topic 4 - What are you guys working on to tangibly move people forward in this space? Are there any resources or projects they should be aware of?
Topic 5 - When you’re a foundational technology, such as networking or storage, it can be tough to adapt rapid DevOps type activities or culture. How much of NRE or DevNetOps is tooling (automation, controllers) and how much is culture changes?
Topic 6 - Change is always a journey. What are some of the steps that you’re seeing people take towards NRE or DevNetOps, and maybe what are some of the common early mistakes they make?
FEEDBACK?
SHOW: 392
DESCRIPTION: Brian talks with Uma Chingunde (@the_umac, Engineering Manager at @Stripe) about engineering career paths as an IC or Manager, how managers can be effective mentors, job rotations, and how diversity is an opportunity for every team.
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Uma Chingunde’s Background: https://conferences.oreilly.com/velocity/vl-ca/public/schedule/speaker/336620
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us about your background, as well as some of the things you’re working on these days at Stripe.
Topic 2 - We’ve discussed the career mindset of people more on the sales/marketing side of companies, but you’re beginning to look at this within engineering teams. Let’s start with the framework of how you think about that for yourself and then for people within your team.
Topic 3 - What are traditional vs non traditional IC and manager paths you can explore?
Topic 4 - How do you think about the engineer vs manager track? Does it always have to be these two options, or are you seeing other paths, maybe more senior options as an IC?
Topic 5 - What are some variations on the above for underrepresented groups?
FEEDBACK?
SHOW: 391
DESCRIPTION: Brian talks with Gustavo Franco (@stratus, Customer Reliability Engineer at Google) about real-world experience as SRE/SRE Manager and CRE Manager, a discussion about how to measure SRE success, as well as how to onboard the SRE/CRE concepts and processes to new teams.
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Gustavo's Background: https://conferences.oreilly.com/velocity/vl-ca/public/schedule/speaker/150125
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us about your background, and some of the things you work on today as it relates to SRE and CRE teams.
Topic 2 - Let's talk about what SRE is intended to do, and maybe how it differs (or is the same) from existing teams that might be labeled "Ops" or "DevOps". Maybe we can also talk about some of the types of skills that highlight what SRE does.
Topic 3 - What are some of the ways to avoid an SRE (or CRE) team just becoming the band-aid team to fix all the things that developers don't want to put into code because they are under deadlines (security, bug fixed, scalability, etc.)?
Topic 4 - We're hearing more about these terms "AIOps" and "ChaosEngineering". How much can SRE/CRE teams augment applications through tools that either bring deeper insight (e.g. AIOps) or create scenarios that developers can't emulate (e.g. Chaos)?
Topic 5 - You've been around SRE/CRE for a while now. What are some of the positive and negative lessons you've learned and could share with the audience?
FEEDBACK?
SHOW: 390
DESCRIPTION: Brian talks with Aneel Lakhani (@aneel, Go To Market Consultant and Advisor) about the difference between traditional Enterprise software and B2B SaaS offerings, how the sales and marketing models work, and how development and operations is significantly changed with SaaS.
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Aneel’s Background: From engineering and product roles at IBM to marketing and go to market roles at Cisco and a number of SaaS startups, with a brief stint as a Research Director at Gartner. Has been a frequent speaker at events like Velocity and been on many podcasts, including this one, Andreessen Horowitz’s, and Microsoft’s Open Source Show.
SHOW NOTES:
Topic 1 - Welcome to the show. We’ve known each other for quite a while, but tell our audience about your last 10 years in gaining a ton of experience around startups and SaaS-based businesses.
Topic 2 - A few weeks ago, in the middle of a Twitter conversation, you said “SaaS changes everything”. Let’s start with the most basic things. How is a SaaS-delivered business different than a traditional software business? (development, go-to-market, marketing, profitability (or loss) models)
Topic 3 - Digging into the sales and marketing funnel, walk us through what typically happens from awareness to sign-up to early/free trial to actual customer engagement, and how a SaaS company is measuring along the way.
Topic 4 - Help us understand the economics of product development in a SaaS business. Not only do you have the normal costs/challenges of building the software, but you have the ongoing costs of running the SaaS operations.
Topic 5 - What are some of the critical metrics and measurements that the SaaS company and their VCs are typically looking at?
Topic 6 - What is the thought process of SaaS companies about their service eventually becoming an AWS service at the next re:Invent?
FEEDBACK?
SHOW: 389
DESCRIPTION: Brian talks with Adam Hunt (CTO and Chief Data Scientist at @RiskIQ) about the breadth of security breaches, how AI/ML can play a role if used properly, and immediate steps to improve protection for breaches.
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CLOUD NEWS OF THE WEEK
AWS Announced Open Distro for ElasticSearch
https://aws.amazon.com/blogs/opensource/keeping-open-source-open-open-distro-for-elasticsearch/
Rebuttals or Commentary on Open Distro for ElasticSearch
Continuous Delivery Foundation launched by Linux Foundation
https://devops.com/the-linux-foundation-launches-continuous-delivery-foundation/
VC Investment in the Service Mesh space
Bouyant ($10M)
Tetrate ($12.5M)
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Topic 1 - Welcome to the show. You have quite an interesting and impressive background. Can you talk a little bit about your work in academia prior to RiskIQ, and then what drew you to this space?
Topic 2 - RiskIQ focuses on helping companies mitigate massive security attacks. For people that don’t live in the security domain, can you give us a sense of what one of these attacks and breaches look like?
Topic 3 - Can you give us a sense of how many of these massive attacks are utilizing new techniques, or is it variants of existing techniques, or just old techniques looking for new (vulnerable) targets? And are there tools to help companies understand how to prioritize against these?
Topic 4 - Where are we in the industry in terms of the intersection of security best practices that IT teams can control, and when ML-driven capabilities can augment for more proactive security?
Topic 5 - What are some of the things that you’re recommending to companies that are helping to make immediate impacts to them preventing or reducing massive breaches?
Feedback?
Show: 388
Description: Brian talks with Eric Rudder (@ericrudder; Co-Founder and Executive Chairman @PulumiCorp) about the evolving tools and supply-chain for both developers and operations in a cloud-native world.
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Topic 1 - Welcome to the show. Tell us a little bit about your background prior to Pulumi, and your motivation for creating Pulumi.
Topic 2 - Pulumi’s stated goal is “Create, deploy, and manage modern cloud apps and infrastructure”. Break that down for us, as it cuts across a lot of different job functions and (currently) different tooling being used today.
Topic 3 - Between serverless and containers, it’s been pretty well acknowledged that the developer experience has a long way to go. Lots of burden put on the developer to understand the underlying systems. How does Pulumi attempt to simply or standardize around this challenge?
Topic 4 - You obviously have a bunch of experience with developer communities from your days at Microsoft. Getting developers to standardize on things in mass is not a simple task. What are some of the ways to create movement to newer tools or technologies?
Topic 5 - What are some of your expectations about how much of the software supply-chain, from writing code to testing/securing code to deploying will have to get disrupted with new cloud-native applications (containers, serverless, etc.) and how much do you feel like is solved enough to leave in place?
Feedback?
Show: 387
Description: Aaron and Brian talk with Armon Dadgar (@armon, Founder/CTO @HashiCorp) about the problems service mesh can solve, the underlying technologies, control plane vs. data plane considerations, and who is making decisions about service meshes within an IT organization.
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Topic 1 - Welcome to the show. It’s been a couple years since HashiCorp has been on the show, so give us an update on the company - big round of funding ($100M) in November.
Topic 2 - A couple months ago we saw you in a video called “What is a Service Mesh?”. It was intended to be a “let’s make this simple” and you realize that a Service Mesh could be a lot of things - L4-L7 routing, Proxy, Encryption, Authentication, Application patterns. Is a Service Mesh solving a new problem, or is it pulling together lots of things that have existed at L4-L7 and application stacks in the past?
Topic 3 - “Service Mesh” has become a pretty crowded and fragmented market over the last couple years. HashiCorp Consul has been around since 2014 (was originally “Service Discovery”) and now there’s Linkerd, Istio, Envoy and a bunch of variations. As you talk to people in the market, how are they evaluating the options out there?
Topic 4 - Consul has evolved from Service Discovery to Service Mesh, and seems to have come from more of an authentication and security perspective (some others tends to be more routing-centric). Are there use-cases when one Service Mesh is a better fit than others, or should we expect that all/most of them will more or less converged on features over the next 12-24 months?
Topic 5 - Can you give us some examples of how companies are using Service Meshes today (parts or all of the capabilities) and what teams are usually driving the adoption (infra/ops, security, app-dev, etc.)?
Feedback?
Show: 386
Description: Aaron and Brian talk with Jeff Aden (@aden_jeff, Founder/EVP at @2ndWatch) about the evolution of 2ndWatch as a Cloud Integrator as AWS has grown and shifted their focus from startups to Enterprise customers.
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Topic 1 - Welcome to the show Jeff. Tell us about your background, the founding of 2nd Watch, and how the company has evolved over the last few years.
Topic 2 - We got to know 2nd Watch at one of the first re:Invent shows, as they had one of the largest booths on the floor. At the time, they were listed as one of AWS’s best partners. Today, 2ndWatch provides management tools, migration tools, systems-integration capabilities. How does 2ndWatch think of themselves?
Topic 3 - What are the concerns of your customers today, and how does 2ndWatch think about matching customer demands and the types of tools/services/capabilities that you provide today?
Topic 4 - We’d like to pick your brain about the usage and insights you’re seeing from your customers usage of AWS. It’s mentioned that 100% are using DynamoDB, 53% are using Elastic Kubernetes, and are fast growing section are using things likes Athena, Glue and Sagemaker. What are some of the types of applications that you’re seeing customer build that leverage these new models?
Topic 5 - With technologies like Outpost being announced, after so many years of AWS saying “Cloud or legacy Data Center”, how do you see this impacting the thought process of customers or potential customers?
Feedback?
Show: 385
Description: Aaron and Brian talk with Keith Townsend (@CTOAdvisor) about jobs around the IT industry, and the opportunities, challenges and trade-offs in making various types of mid-career job changes.
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Topic 1 - Welcome back to the show. Want to talk about the pros and cons of various types of jobs in and around the IT industry - Vendors, Integrators, Contractors, Consultants, IT within a Company (Customer)
Topic 2 - Most of the 2000s and about half of the 2010s were a huge boom for remote workers. It feels like that trend is reversing. Lots of Silicon Valley companies are reversing it, the major Public Cloud providers are specific about location, IBM had a push back towards offices. Walking the fine line between a remote team or an in office team. Also, challenges to stepping into leadership. Some leadership is not remote friendly historically
Topic 3 - If you decide that you want to work around “emerging” technologies, you’re usually having to decide between a few critical factors - travel, visibility/marketing/advocating, salary certainty, and career path.
Topic 4 - “Move up the stack” or “Move towards value” - Is this something that is realistic for people that have 5+ years in a skill set? What are some realistic things people could do in this domain?
Topic 5 - What are some examples you’ve seen or recommends you’ve been given about how to make these transitions?
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Show: 384
Description: Aaron talks with Harry Sverdlove (@TheSecureWord, Founder & CTO Edgewise Networks) about the evolution of security to embrace both a micro-services and multi-cloud world.
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Topic 1 - Briefly Introduce yourself and tell everyone a little bit about your background.
Topic 2 - The topic of security historically has been a weakness for Brian and I, let’s start at the start and cover a few base topics first. What are some of the big challenges customers are facing today in hybrid and public cloud?
Topic 3 - I came from the “secure the perimeter” world back in the day. How has this concept evolved and does it still apply to operations today?
Topic 4 - Are we evolving into an anomaly detection mindset going forward? How does AI/ML assist (if at all) in this area vs. historical trends and pattern matching?
Topic 5 - As applications move to more cloud native architectures joined with a loose coupling of microservice, how does this change play into approaching the problem?
Topic 6 - Last question, what implications does multi-cloud present?
Feedback?
Show: 383
Description: Aaron and Brian talk with Paul D. Johnston (@PaulDJohnston, Co-Founder ServerlessDays (creator of “Jeff”), CXO Serverless Consultant) about the current state of Serverless, Serverless vs. FaaS, how to economically think about functions of code, and areas where Serverless needs to improve.
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Topic 1 - Happy New Year, hope you’re having a good 2019. It’s been a while since you were last on the show. As the creator of Jeff, what have you been up to lately?
Topic 2 - Let’s talk about a basic thing that seems to confuse people. What’s the new definition, or the actual difference (if there is any), between “Serverless” and “Functions as a Service”.
Topic 3 - I’ve seen you mention several times on Twitter that, “Few people really understand how powerful serverless can be. They focus on the wrong things.” Help us get focused on the important parts.
Topic 4 - I’ve also seen you say that “with serverless, infrastructure is a rounding error.” Walk us through the economics of your experiences with serverless, and how you think about “profitable software”.
Topic 5 - Why do you think it seems like so many of the other cloud offerings are so far behind AWS Lambda?
Topic 6 - At a high level, what is working well in serverless, and what is still complicated or missing? What’s your wishlist for 2019?
Feedback?
Show: 382
Description: Brian talks with Sam Charrington (@samcharrington, Machine Learning & AI analyst, advisor & host of “This Week in Machine Learning & AI” podcast) about trends in the industry, the evolution of AI at the edge, new research areas in 2019, and a discussion about adding AI and ML to business applications.
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Topic 1 - Happy New Year and welcome back to the show, it’s been just over a year. For those that didn’t hear that show or might be new to TWIML & AI, tell us about your background and some of your AI/ML focus now.
Topic 2 - Let’s start with the things that are considered “mainstream” with AI & ML today. Fraud detection, recommendation engines, facial recognition, speech recognition, auto-completions. What’s missing from that list, and how “commodity” have those technologies, tools, datasets, cloud services become?
Topic 3 -On the flipside, what are some of the areas where research or just the massive cloud providers are focused today?
Topic 4 - A couple years ago it seemed like TWIML & AI was a mix of technology discussions and business/social impacts. This past year seemed to be a deeper focus on the underlying technologies. What’s the current state of the balance between AI & ML for computing improvement vs. concerns about personal privacy, etc.?
Topic 5 - What’s the “getting started” curve look like for companies that want/need to add or integrate AI & ML into their applications? What are some numbers you hear about cost of engineers, sizes of datasets, number of experiments and models needed to run, etc.?
Topic 6 - What are some of the things you’re really looking forward to in 2019, whether it’s technology or trends or something else?
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Show: 381
Description: Brian talks with Ethan Banks (@ecbanks, co-founder of @PacketPushers) about the state of ITOps and Infrastructure heading into 2019.
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Topic 1 - Happy New Year. Welcome to the show. For anyone that isn’t already a listener to one of the many Packet Pushers podcasts, give us a little bit on your background.
Topic 2 - From an ITOps perspective, it seems like the last few years have been focused on “Software-defined” or “Hyper-Converged”, “Hybrid Cloud” and various forms of Automation. How much of those are real concerns of ITOps, and how much of that is vendor hype?
Topic 3 - As the usage of the public cloud grows, how much do you see ITOps professionals feeling like they can influence architecture and design, or feel like they are having to shift their focus to other tasks?
Topic 4 - You’ve been around the industry for a while, both as a practitioner (hands-on engineer) and now with a broader industry perspective. What are the biggest changes you’ve seen over the last couple years, and what are the areas that just never seem to change/evolve?
Topic 5 - We know that application teams are becoming more ingrained in business decisions (lines-of-business, etc.), but is that same thing happening with the ITOps teams as well?
Topic 6 - What are some of the ITOps and Infrastructure trends that you expect to be following/exploring more in 2019?
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Show: 380
Description: Brian talks with Jeff Meyerson (@the_prion, Host of @software_daily) about the state of Cloud-native application development heading into 2019.
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Topic 1 - Happy New Year. Tell us a little bit about your background, and what motivates you to continue to dig into every aspect of Cloud-native application development?
Topic 2 - Developers have lots of opinions and approaches to building software. Have you seen much in terms of commonality or consistency about how developers are building cloud-native applications?
Topic 3 - What are some of the areas that developers really love today, and some areas where developers are really frustrated?
Topic 4 - A decade ago, it was all about the LAMP stack. We hear about the MEAN (Mongo, Express, Angular, Node) stack, but also lots of discussions about things like Kafka and more real-time applications. Are you seeing trends around application stacks, or is it really about lots of options now as applications move to microservices (and serverless)?
Topic 5 - SED covered quite a few aspects of Machine Learning in 2018. What are some of the things you’ve learned about ML usage and how it’s impacting application developers?
Topic 6 - What are some of the topics that you’re really interested to explore in 2019?
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Show: 379
Description: Brian talks with Josh Atwell (@Josh_Atwell, Sr. Technology Advocate @Splunk and co-host of @SpeakingInTech) about the state of DevOps and NewOps heading into 2019.
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Topic 1 - Happy New Year. Tell us a little bit about your background, why you’re drawn to the DevOps space, and maybe some of your goals for 2019.
Topic 2 - What is the state of DevOps heading into 2019? We’ve seen it evolve from The Phoenix Project and “10 Deploys a Day” CI/CD to Infrastructure as a Code and HugOps.
Topic 3 - It feels like DevOps is sort of at a crossroads, with a bunch of newer things emerging, from SRE to DevSecOps to NewOps. It that the market being uncomfortable with DevOps, or sort of a 2nd-generation set of knowledge emerging?
Topic 4 - From a technology perspective, DevOps always seems to attract the CI/CD tools and then the Chef/Puppet/Ansible/Salt tools, and now there is somewhat of a shift to immutability with things like Containers/Kubernetes or even serverless. Is there a technology focus for DevOps in 2019? How does NewOps fit into this space?
Topic 5 - From a culture perspective, there’s been HugOps and Blameless Post-Mortems and Empathy, all focused on cohesity between business and technical in owning challenges/goals/results. Are there culture-side frameworks that are emerging and gaining traction?
Topic 6 - As you listen to the community, what we some of the most common tips and suggestions that you find help people and groups to be more successful in the DevOps domain?
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Show: 378
Description: Aaron and Brian review the biggest news, trends and topics of 2018.
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Tech Stocks (2018):
Show: 377
Description: Aaron talks with Brad Rydzewski (@bradrydzewski, Co-Founder of Drone.io) about the current state of CI/CD in our industry.
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Show: 376
Description: Aaron talks with Dave Blakey, CEO and Founder of @SnaptADC, about the international startup scene, the evolution of application delivery and the emerging trends around the intersection of networking and DevOps.
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Show: 375
Description: Brian talks with Mark Hinkle (@mrhinkle) and Sebastien Goasguen (@sebgoa), Co-Founders of @TriggerMesh, about the evolution of serverless and functions-as-a-service in the Kubernetes ecosystem, the new Knative framework, and how companies are considering the use of functions for new applications.
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Topic 1 - Welcome to the show. Both of you are Cloudcast alumni. Tell us about this new company that you’ve started.
Topic 2 - Sebastian, the last time we spoke with you, you had created the Kubeless project (at Skipboxx), just before selling it to Bitnami. That was when “Serverless on Kubernetes” was beginning to get very fragmented. Since then, Knative has come along to try and bring some unity around Serverless on Kubernetes. Give our listeners some basic understanding of how Knative works.
Topic 3 - Let’s talk about TriggerMesh. Introduce us to the technology, and the role it plays in a Serverless or Knative or FaaS management environment?
Topic 4 - Where do you expect to see the most innovation around Knative - Serving, Builds or Events? What are some of the areas where TriggerMesh is focused?
Topic 5 - What are some of the serverless use-cases that you’re hearing about from early customers?
Topic 6 - What are some of the things that customers are beginning to ask for that have surprised you?
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Show: 374
Description: A review of all of the AWS 2018 re:Invent announcements
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Categorizing The AWS Roadmap
AWS re:Invent 2018 Announcements (it's hard to get them all)
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Show: 373
Overview: Aaron and Brian talk with Venkat Venkataramani (@iamveeve, Co-founder and CEO of @RocksetCloud) about building apps without pipelines, and serverless search and analytics with native SQL.
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Topic 1 - Welcome to the show. Give us a little bit of your background and what motivated you to start Rockset.
Topic 2 - Sometimes we have founder guests that have a past of previous startups. And sometimes we have founder guests that are introducing something that sounds like it breaks most of the previous rules we’ve known. Let’s walk through what Rockset is attempting to deliver - “Apps without Pipelines”, “Serverless search”, “Schemaless ingest”, “natively uses SQL.”
Topic 3 - Let’s talk about some of the use-cases that might not have been possible before Rockset, or were overly complex or expensive before Rockset?
Topic 4 - You highlight that all of this is accessible via SQL, which is widely known and used by both technologists and typical data analysts. When you combine this with serverless concepts, is the focus of Rockset very much on making it easier for the masses to build and use data-centric applications?
Topic 5 - What is some of the early feedback that you’re getting from users or the community about how the RockSet approach is different for them?
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Show: 372
Overview: Aaron and Brian talk with Kurt Schrader (@kurt, Founder/CEO of @Clubhouse) and Mitch Wainer (@MitchWainer, CMO of @Clubhouse) about the evolution of project management for software development teams.
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Topic 1 - Welcome to the show, both us you. Give us a little bit of your backgrounds, and how you got together to start Clubhouse.
Topic 2 - Tell us about the Clubhouse platform. It’s focused on helping companies build software more rapidly and with better collaboration. What was broken about software development before Clubhouse came along?
Topic 3 - Both of your have been involved in software development for many years. We love talking to founders that have a built a product that they need/want to use. What were some of your moments that convinced you that it was time to build something new vs. being frustrated with what existed?
Topic 4 - Let’s talk about the Clubhouse platform. What makes it unique, and what are some of the benefits of bringing together things like Stories, Project Metrics, Kanbana boards, integrated Collaboration into a single platform vs. many tools.
Topic 5 - The Enterprise version of Clubhouse just shipped. The company already has more than 1000 active customers. What have you learned from them that helped shape the Enterprise product?
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Show Number: 371
Overview: Aaron talks with Melissa Eggleston (@melissa_egg, Director of UX @teamworks | Co-founder of @ladiesthatuxDUR) at All Things Open about her work on UX research, how to ask the right questions, and balancing past research vs. analytics and new research
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Show Number: 370
Overview: Aaron talks with Lee Eason (@leejeason; Director of DevOps at Ipreo and the co-founder of Tekata.io) at All Things Open about his DevOps transformation for all of the organization’s 30+ products and 65+ scrum teams leading to a dramatic reduction in manual work and an increase in quality and customer satisfaction across the board.
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Show Number: 369
Overview: Aaron talks with Pam Selle (@pamasaur; Software Engineering Lead at @IOPipes) at All Things Open about the current state of Serverless applications, Serverless monitoring, and the evolution of Serverless DevOps.
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Show Number: 368
Overview: Brian talks with Mee-Jung Jang (@MeeJungJang, Managing Director @TechStars) about starting the program, engaging with MetLife as a corporate partner, the structure of the TechStars program, how the companies move forward beyond Demo Day, and what's next.
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Brian talks with the founders from FIX Health, Portabl and Safely, as part of a behind-the-scenes engagement with TechStars and the MetLife Digital Accelerator in Cary, NC. This show is Part 2 of a series of interviews with companies that are innovating and disrupting the insurance industry, in cooperation with corporate partner MetLife in Cary, NC.
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Company 1: FIX Health
[Update] FIX has secured a MetLife pilot to build a new short term disability product.
CEO: Mike Tinney
Atlanta, GA
Company 2: Portabl
Founders: Mike Minnet and Ali Lanning
London, England
Company 3: Safely
[Update] Safely grew their revenue by more than $500k since joining Techstars.
Founders: Andrew Bate and Lui King
Atlanta, GA
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Email: show at thecloudcast dot net
Twitter: @thecloudcastnet and @ServerlessCast
Brian talks with the founders from Buddy, Enroll Hero and FitBliss, as part of a behind-the-scenes engagement with TechStars and the MetLife Digital Accelerator in Cary, NC. This show is Part 1 of a series of interviews with companies that are innovating and disrupting the insurance industry, in cooperation with corporate partner MetLife in Cary, NC.
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Company 1: Buddy
[Update] Has a signed reinsurance commitment from their Lloyd's syndicate, so their product is fully backed
CEO: Charles Merritt
Richmond, VA
On-demand accident insurance to enable people to explore the world and have adventures.
Company 2: Enroll Hero
[Update] Secured pilots with MetLife and Northwestern Mutual
Founders: Mark Lee and Bryan Kocol
Santa Monica, CA
Helping people make it easier to get the right Medicare
“The TurboTax for Medicare”
Company 3: FitBliss
[Update] Closed Salesforce as a customer and 10x'ed their revenues
CEO: Navid Rastegar
San Francisco, CA
"Optimize Well-Being and Productivity"
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Brian talks with Andy Glover (@aglover, Director of Delivery Engineering @Netflix) about Spinnaker, release automation, the challenges of multi-cloud platforms, and how the community around the Spinnaker project has evolved.
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Brian talks with Ben Hall (@Ben_Hall, Founder of Ocelot Uproar, creator of @TeamKatacoda) about the evolution of helping developers learn new Cloud-native technology skills, and how Katacoda is making that an online, browser-only reality.
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En liten tjänst av I'm With Friends. Finns även på engelska.