QPS Converter

About This Tool

QPS Converter provides a fast, domain-focused estimation tool to determine the capacity required to sustain a target query-per-second rate. It translates traffic goals into concrete compute, memory, and network requirements without performing live load tests.
Conceptually, the tool uses queuing-theory approximations to map throughput, latency, and concurrency into resource estimates, then outputs recommended hardware, autoscaling guidance, and safety margins. Users enter target_qps, target_latency_ms, and concurrency assumptions; optional burst modeling or distribution assumptions refine results.
The tool benefits performance engineers, SREs, backend developers, and capacity planners who need a defensible sizing baseline for budgeting, procurement, or architectural decisions. It supports quick what-if analyses and can be reused across projects to compare scaling strategies. Unique value lies in combining standard capacity math with practical margins and exportable outputs, enabling rapid, auditable planning without bespoke modeling. Core features include steady-state estimation, optional burst factors, and a concise set of outputs that align with common procurement and capacity planning workflows. Use cases include API scaling, microservice sizing, and data-pipeline throughput planning.

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