ON BENCHMARKING

Summary from the TLDR Data newsletter

A throughput number is not an architecture decision. Good benchmarks explain the workload, cache state, client behavior, failure modes, and scaling limit behind the result. Without that context, teams risk optimizing for a synthetic score instead of the bottlenecks their production data systems will actually hit.