Kubernetes pod autoscaler using custom metrics

Kubernetes pod autoscaler using custom metrics

  • August 4, 2019
Table of Contents

Kubernetes pod autoscaler using custom metrics

In this post we are going to demonstrate how to deploy a Kubernetes autoscaler using a third party metrics provider. You will learn how to expose any custom metric directly through the Kubernetes API implementing an extension service. Dynamic scaling is not a new concept by any means, but implementing your own scaler is a rather complex and delicate task.

That’s why the Kubernetes Horizontal Pod Autoscaler (HPA) is a really powerful Kubernetes mechanism: it can help you to dynamically adapt your service in a way that is reliable, predictable and easy to configure.

Source: sysdig.com

Share :
comments powered by Disqus

Related Posts

33(+) Kubernetes security tools

33(+) Kubernetes security tools

Kubernetes image scanning Kubernetes runtime security Kubernetes network security Image distribution and secrets management Kubernetes security audit End-to-end commercial security tools Join our live session to learn more! Kubernetes security tools … there are so freaking many of them; with different purposes, scopes and licenses. That’s why we decided to create this Kubernetes security tools list, including open source projects and commercial platforms from different vendors, to help you choose the ones that look more interesting to you and guide you in the right direction depending on your Kubernetes security needs.

Read More
Deprecated APIs Removed In Kubernetes 1.16

Deprecated APIs Removed In Kubernetes 1.16

As the Kubernetes API evolves, APIs are periodically reorganized or upgraded. When APIs evolve, the old API is deprecated and eventually removed. The 1.16 release will deprecate APIs for four services: None of these resources will be removed from Kubernetes or deprecated in any way.

Read More
YuniKorn: a universal resource scheduler

YuniKorn: a universal resource scheduler

We are super excited today to announce the open-sourcing of one of the exciting new projects we’ve been working behind the scenes at the intersection of big-data and computation platforms – YuniKorn! Yunikorn is a new standalone universal resource-scheduler responsible for allocating/managing resources for big-data workloads including batch jobs and long-running services. YuniKorn is a light-weight, universal resource scheduler for container orchestrator systems.

Read More