Quick Answer
Scheduling each Pod requires the scheduler to filter and score all eligible nodes. With thousands of Pods, the node list is long and the work per scheduling cycle is high. Without percentage-of-nodes-to-score optimization, every Pod evaluates every node. Large clusters should tune percentageOfNodesToScore to sample instead of evaluating all nodes for non-critical scheduling decisions.
Answer
Large node count, expensive scoring, cache churn, and many unschedulable Pods cause delays.
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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.