Tortoise: outpacing the optimization challenges in Kubernetes, with Kensei Nakada

In this KubeFM episode, Kensei Kanada discusses Tortoise, an open-source project he developed at Mercari to tackle Kubernetes resource optimization challenges. He explains the limitations of existing solutions like Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA), and how Tortoise aims to provide a more comprehensive and automated approach to resource management in Kubernetes clusters.

You will learn:

• The complexities of resource optimization in Kubernetes, including the challenges of managing HPA, VPA, and manual tuning of resource requests and limits

• How Tortoise automates resource optimization by replacing HPA and VPA, reducing the need for manual intervention and continuous tuning

• The technical implementation of Tortoise, including its use of Custom Resource Definitions (CRDs) and how it interacts with existing Kubernetes components

• Strategies for adopting and migrating to new tools like Tortoise in a large-scale Kubernetes environment

Sponsor

This episode is sponsored by Learnk8s — estimate the perfect cluster node with the Kubernetes Instance Calculator

More info

• Find all the links and info for this episode here: https://ku.bz/bRd0243xQ

• Interested in sponsoring an episode? Learn more.