Container Resource Sizing Guide
Set requests and limits from evidence.
Added October 15, 2026. Written with AI assistance and checked for clarity and placeholders; not reviewed by a lawyer, accountant, clinician or other professional. How these prompts are made
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Help me size container resources. Observed CPU and memory usage per pod over a week (average, p95, max): [USAGE_DATA]. Traffic pattern: [TRAFFIC_PATTERN]. Autoscaling configuration: [AUTOSCALING]. Costs concern: [COST_CONCERN]. Explain the difference between requests and limits and what happens when memory or CPU limits are hit, then derive recommended requests and limits from my data with the reasoning shown. Provide a table of workloads with current settings and recommended settings and the evidence. Discuss CPU throttling and out-of-memory risks, headroom choices, and autoscaler interactions. Add an iterative tuning process of two-week cycles with measures and a rollback rule. List data I still need if the sample is too small. Add a short procedure for testing resource limits safely in staging with a load test, recording the point at which latency degrades. Explain how to monitor for throttling and out-of-memory events after the change, and give a rule for choosing between a larger instance and more replicas, using the characteristics of my workload.
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