Capacity Prediction at 10M QPS: From Gut Feel to Data-Driven Decisions
This article explains why experience-based capacity planning fails at 10M QPS scale and presents a data-driven framework separating business demand, system load, and resource capacity, using prediction intervals, error feedback loops, and incremental model building to turn vague traffic estimates into verifiable resource decisions.
