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July 1, 2024·13 min read
Understanding Kubernetes Scheduling
Your pods don't just appear on nodes by magic. The Kubernetes scheduler runs a complex scoring algorithm on every pending pod. Understanding it helps you avoid surprising node pressure and mysterious OOMKills.
kubernetesdevopsinfrastructure
Understanding Kubernetes Scheduling
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How the Scheduler Works
The Kubernetes scheduler uses a two-phase approach: filtering (which nodes can run this pod?) and scoring (which node is the best fit?).
Filtering
Node must: have enough CPU/memory, satisfy node selectors, satisfy affinity rules, have required taints tolerated.
Scoring
Nodes are ranked by: resource availability, pod spread, image locality, and custom plugin scores.
Practical Implications
Understanding scoring helps you use PodDisruptionBudgets, pod topology spread, and resource requests/limits effectively.