DevConf.CZ

K8s workload autoscaling performance dimensions
2024-06-13 , D0207 (capacity 90)

Cloud Cost Optimization, Savings & FinOps is a hot topic in the current environment. But when it comes to applying these practises to your production K8s environments without sacrificing performance and reliability, things get complicated very quickly.

Why does this happen? In this talk, we will highlight the main culprits causing waste, overrcommitment and a lack of resources across CPU, Memory and Network Bandwidth.

We will discuss the production issues we had in our own environments, how they woke us up and how we tackled them. We will help you understand what kind of optimizations need to be considered when applying these practises to your clusters & applications, instead of blindly trusting various autoscalers and k8s schedulers out of the box.

See also:

Engineer with more than 10 years of full-stack experience in cloud native systems, with a focus on cloud infrastructure automation and cost optimization.

In my spare time, I enjoy running, jumping on a gravel bike, listening to podcasts and learning new things.