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Why should autoscaler and HPA cooldown windows be tuned together?

Senior Kubernetes
Quick Answer HPA scales up immediately when metrics cross a threshold, but takes time to scale back down (default stabilization window). If the Cluster Autoscaler removes nodes too quickly after scale-down, then HPA scales up again before new nodes are ready รขโ‚ฌโ€ causing scheduling failures. Tune HPA scale-down stabilization (default 5 minutes) and Cluster Autoscaler cooldown to match your app's traffic patterns.

Answer

Mismatched timings cause scaling oscillations and thrashing.
S
SugharaIQ Editorial Team Verified Answer

This answer has been peer-reviewed by industry experts holding senior engineering roles to ensure technical accuracy and relevance for modern interview standards.

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