Kubernetes throttling? It doesn't have to suck!

Kubernetes has a bad habit of throttling CPU resources—leading to severely degraded performance or spiralling costs for extra, unnecessary infrastructure. We put a K8s cluster in the lab to monitor how and when CPU throttling happens. Then we tried to kill the cluster by overloading it with CPU-hungry containers. Watch this video to see how K8s clusters protect themselves from what they see as heavy CPU usage, and how you can monitor and troubleshoot the problem. We demonstrate how you can: – Use Netdata to reduce API response times by a factor of 7 – Expect to reduce infrastructure resource requirements by 60-75% 00:00 Introduction 11:03 To Throttle or Not to Throttle 24:06 Kill the Cluster 43:07 Takeaways Want to know more? Hit subscribe now to get the next installment of our series on Kubernetes monitoring and troubleshooting, then visit: Our website: https://www.netdata.cloud/integration... Our documentation: https://learn.netdata.cloud/guides/mo... Thoughts, questions or suggestions? Share them on our Discord server:   / discord   Or on our community forum: https://community.netdata.cloud/