Best practices to optimize resource usage and eliminate unnecessary costs on GKE

As Kubernetes gains widespread adoption, a growing number of organizations are using Google Kubernetes Engine (GKE) to more easily deploy and manage their workloads at scale.

However, it can still be difficult to identify wasted resources and figure out how to best optimize them without sacrificing performance or availability. Thankfully, there are techniques and best practices for optimizing resource usage and eliminating unnecessary costs, many of which are built directly into GKE.

Hear from the Google Cloud Technical Account Management team, where you’ll:
- Learn the most common pitfalls that lead to non-optimized usage of Kubernetes clusters
- Come away understanding the tools, techniques, and best practices to optimize resource usage and eliminate unnecessary costs on GKE
- Have the opportunity to ask questions and receive answers from experts live

01:43 GKE optimization overview
02:30 The golden signals of GKE optimization
04:11 Autoscaling (scale down at off peak)
12:06 Performance testing (pick the right CPU)
16:16 Workload rightsizing (use what you actually need)
22:55 Bin packing (allocating pods efficiently)
26:42 Discounts, Spot, CUDs, and more (options to save or optimize)
30:54 GKE image streaming demo
33:12 Q&A