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A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
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Compare resource requests with actual usage and examine throttling, memory pressure and dependency latency. Set requests to support predictable scheduling and use limits deliberately. Autoscaling needs reliable metrics and sufficient cluster capacity; adding replicas will not repair a serialized database bottleneck.
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kubernetes