Introduction to GKE Autoscaling

In a previous video, we created GKE clusters in Standard mode and Autopilot mode. In this episode of GKE Essentials, we learn how your workloads interact with nodes and pods for greater productivity and optimizing costs. Watch to learn how Google Kubernetes Engine can autoscale up to meet demand or scale down to optimize your costs.
Chapters:
0:00 - Intro
0:39 - The Challenge of Using Resources Efficiently (Binpacking)
2:07 - The 4 Dimensions of GKE Autoscaling
5:23 - Additional Cost Optimization Resources
5:41 - Recap
Best practices for running cost-optimized Kubernetes applications on GKE → goo.gle/3nX6OzB
Cost optimization on Google Cloud → goo.gle/3nVfs1r
GKE Cost Optimization Playlist → goo.gle/3q4JYZt
Hands-On! → goo.gle/3GSNo7C
Check out more GKE Essentials → goo.gle/GKEEssentials
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#GKEEssentials
product: Cloud - Containers - Google Kubernetes Engine (GKE); fullname: Kaslin Fields;

[@abhishekdanej]

Very convenient 👍🏻

[@AvinashSingh-vj3rk]

Nice video 👍

[@googlecloudtech]

Thanks 👍

[@heman248]

So with this I can figure out the optimized nugget configuration in my stomach to maximize my maximum scaling

[@ravichanderkt326]

Multidimensional Pod Autoscaling is a cool feature though ;)