10 months ago

As organizations increasingly adopt Kubernetes for their infrastructure, understanding and optimizing its performance becomes vital. However, best practices and configuration guides for Kubernetes optimization only go so far.

In this article, we’ll look at how to develop a system of observation, experiments and feedback loops to continually improve the performance of applications running in Kubernetes environments.

Network traffic, data quality and new software or security patches can all affect performance, affecting the health of your application deployment.

A key consideration is that your application and the Kubernetes infrastructure it runs on are not static.