Effective cores
2.8
Turn a measured RPS-per-core benchmark into a throughput estimate while keeping an explicit CPU utilization target.
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Effective cores
2.8
Estimated max RPS
336
This calculator converts the CPU core budget and target utilization into effective compute, then applies an RPS-per-core value measured with the same workload and infrastructure class.
effective_cores = total_cores * utilization_pct
max_rps = effective_cores * rps_per_coreDerive RPS per core from a representative load test. Re-benchmark when the code path, dependencies, runtime limits or instance family changes.
With 8 cores, a 70% target and 120 measured RPS/core, effective compute is 5.6 cores and estimated capacity is 672 RPS.
No. It changes with the code path, runtime, database and downstream latency, caching and compute generation.
Yes, when both the benchmark and the target environment use the same compute definition and comparable infrastructure.
Headroom absorbs short bursts, background work and estimation error. A throughput estimate at 100% CPU is not a resilient operating target.
This is a capacity model, not a production guarantee. Confirm the result with a representative benchmark and observe latency, saturation and error rate together.