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Introduction to Autoscaling

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Explains how Kubernetes autoscaling actually works: Horizontal Pod Autoscaler adjusts replicas from CPU or custom metrics toward a target utilization (examples: set target <65% for a 50% two‑minute spike), Vertical Pod Autoscaler runs in three modes—recommendation, update on new pods, and auto that recreates pods to change requests—and Cluster Autoscaler adds/removes nodes via scheduling simulation and compaction, raising cluster requested utilization roughly 10% (from ~50% to ~60%).

AI-written summary · about

  1. 0:00Introduction
  2. 2:35Horizontal Pot Autoscaling
  3. 8:42Vertical Pot Autoscaling
  4. 15:40Cluster Autoscaling
  5. 21:14VPA
  6. 23:17Cluster Autoscaler
  7. 24:53Questions
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