Autoscaling Kubernetes Deployments: A (Mostly) Practical Guide

on YouTube ↗35m

" summary

Covers cluster autoscaler, vertical and horizontal pod autoscalers with concrete knobs: min/max replicas, stabilization windows, and step caps; shows HPA scaling from 1 to 4 replicas on CPU in a recorded demo using Pixie demos repo and the hey load generator, and an error-rate case that adds nine replicas to drop errors; highlights pitfalls like 8% CPU with 5s latency and mismatched sidecar CPU, discusses Prometheus/Linkerd metrics via the custom metrics API, and even implements a Turing-complete autoscaler.

AI-written summary · about

" chapters (8)

1. 0:00Introduction
2. 1:36Auto-scaling fundamentals
3. 3:33Types of Kubernetes scaling
4. 8:06Horizontal Pod Autoscaler
5. 12:28Scaling knobs and controls
6. 16:13Selecting metrics
7. 21:47Turing-complete autoscaler
8. 26:42Q&A and conclusion

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