Performance Engineering for Java Backend Systems — Measure, Analyze, Tune, and Survive Production

By the end, the learner owns performance end to end: given an SLO for dev-sharing (e.g. p99 < 300ms at 500 req/s on the purchase flow), they design the k6 scenarios that measure it honestly, stand up the Grafana/Prometheus/OTel cockpit to observe it, locate bottlenecks across OS, JVM, code, and architecture, fix them and PROVE the fix with before/after data, model and protect capacity, and...