Kubernetes
Kubernetes Resource Request Optimizer
Enter P99 CPU and memory usage to compute right-sized resource requests with workload-type headroom factors and QoS class implications.
Calculations run locally in your browserTool
About this tool
Kubernetes Resource Request Optimizer
The Kubernetes Resource Request Optimizer computes right-sized CPU and memory requests from P99 usage with workload-type headroom, showing QoS class and eviction order implications.
• Right-size resource requests after a VPA recommendation review
• Calculate appropriate CPU and memory requests for a new service from load test data
• Determine whether to use Guaranteed or Burstable QoS for a latency-sensitive workload
• Model the node density improvement from right-sizing an over-provisioned fleet
Affiliate disclosure
Developer-friendly cloud infrastructure. DigitalOcean provides cloud compute, networking, and managed databases with predictable pricing.
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FAQ
What does this tool tell you?
The Kubernetes Resource Request Optimizer computes right-sized CPU and memory requests from P99 usage with workload-type headroom, showing QoS class and eviction order implications.
What affects the result most?
Right-sized request = P99_observed × (1 + headroom_factor) — not peak, not average. Headroom factor: 20% for stateless HTTP, 50% for JVM/GC-intensive, 30% for general workloads. Limits vs requests ratio: limit/request > 10 means heavy burstable, increases eviction risk.
How should I use the result?
The calculation is deterministic — the same inputs always produce the same output — so the most useful workflow is to vary one input at a time and see which factor moves the result most. That tells you where to focus your attention before committing to a decision.
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