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Performance

The performance arm of Quality Engineering — measuring, profiling, optimising, and protecting hot paths over the lifetime of a system.

Content under this section is being filled in. The structure below shows the planned coverage; pages marked coming soon link to themselves until written.

Planned sections

  • Measurement — latency vs throughput, percentiles vs averages, cold vs steady-state, sample size.
  • Profiling — CPU profiles, allocation profiles, flame graphs; pprof / perf / Instruments; reading them without lying to yourself.
  • Benchmarking — micro-benchmarks done right (avoiding dead-code elimination, branch prediction noise, JIT warmup); macro-benchmarks; comparison stability.
  • Memory — allocations, escape analysis, GC pressure, fragmentation, working set, cache locality.
  • Concurrency throughput — Amdahl's law, contention, scheduler effects, scaling curves.
  • Regression detection — CI benchmarks, statistical thresholds (Mann-Whitney U), trend dashboards.
  • Per-level tracks — junior / middle / senior / professional / optimize / find-bug / interview / tasks.