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SIG-Autoscaling: Introduction + HPA/VPA Updates

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Overview of Kubernetes autoscaling fundamentals and concrete changes: Horizontal Pod Autoscaler computes independent recommendations per metric and picks the maximum, with configurable scale stabilization (default 5m), rate limits and min/max policies; v2 moves those behaviors into a HPA v2 stable API. Vertical Pod Autoscaler uses a recommender, updater (rolling single-pod deletes), and admission controller; new support for VPA multiple recommenders via a discriminator field. Cluster Autoscaler reacts to unschedulable pods, taints and drains empty nodes, and selects node pools by size.

AI-written summary · about

  1. 0:00Intro
  2. 0:38SIGAutoscaling
  3. 1:47Overview
  4. 3:33Example Cluster
  5. 10:57HPA Updates
  6. 16:59VPA Updates
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