Creating Flexible Workloads through Autoscaling

on YouTube ↗47m

" summary

Kubernetes provides built-in autoscaling based on pod CPU and memory, but that can be insufficient for microservices with asynchronous communication or stateful workloads like databases, and it doesn’t address running out of nodes. The talk covers extending Kubernetes autoscaling using KEDA (event-driven autoscaling), Vertical Pod Autoscaler, and cloud provider node autoscalers to build more flexible, adaptable workloads.

AI-written summary · about

" chapters (9)

1. 0:00Introduction
2. 1:03Autoescaling in Google Cloud
3. 3:28Horizontal vs vertical scaling
4. 9:24Cluster autoscaler
5. 14:01Demo: HPA
6. 24:19Demo: VPA
7. 28:24Event-based scaling with KEDA
8. 36:36HTTP Autoscaler
9. 40:14Q&A

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