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"Software developer with a kaizen mindset"

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I recently got some new hardware in an effort to streamline my homelab. This required a move of my old kubernetes cluster and I decided to properly document that move this time. As I realised that the last guide I used was a lot harder to find now and I’m too stubborn to use k8s admin. Just to be absolutely clear, this guide will get you a running kubernetes cluster suitable as a learning environment or homelab. This is not a secure setup and this walkthrough/guide should not be used to setup a staging or production environment.

We’ve all run into a service or application that has suffered from performance degradation. Usually it is noticable straight after a big release and somewhat easy to pinpoint to some change in your code.

But what when it isn’t that straight forward? How could you go about finding the root cause or maybe even multiple causes of the issue? Let’s have a look at the what to look for and how to prepare.