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BENCHMARK CONFIDENCE

Simulator accuracy

We validate simulator accuracy against public benchmark references. Detailed raw numbers are kept as internal validation assets; this page only reports aggregate stats. Last validated 2026-05-13.

Mean absolute error
±3.1%
(reference vs sim)
±25% tolerance pass
15/16
94% pass rate
Accurate zone (±5%)
13/16
production grade

Pass rate by category

JSON serialize (no DB)
5 reference points
100%
5/5 pass
single-query (PostgreSQL)
4 reference points
100%
4/4 pass
OLTP (MySQL)
2 reference points
100%
2/2 pass
In-memory cache
1 reference points
0%
0/1 pass
Reverse proxy
1 reference points
100%
1/1 pass
Document DB
2 reference points
100%
2/2 pass
Distributed cache
1 reference points
100%
1/1 pass

How we validate

Each reference point is reproduced by configuring the simulator with the same hardware envelope (cores / clock / RAM / disk / network) and comparing measured throughput.

An internal script automates environment mapping + ramp-up traffic + peak measurement. Anything within ±25% counts as a pass. The mean absolute error level is sufficient for architectural decision support.

Limits: Queue / pool effects and dynamic backpressure are modeled in steady-state. Spike loads may have an extra ±10% error. Pair simulator results with load testing for actual production decisions.

Detailed reference sources / raw numbers / environment configs are kept private as internal validation assets. For education / research data sharing requests, email us.

📊 Same aggregate stats in the simulator

Click the confidence button in the simulator toolbar to see the same aggregate stats inline.

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