JVM Analysis

Patterns for analyzing, optimizing, and debugging JVM applications — both static and runtime.

Philosophy

1. Measure before tuning — profile first, optimize based on evidence
2. Static + runtime complement — static finds structural issues, runtime finds behavioral issues
3. Production-safe tooling — low overhead profilers that won't crash or slow production
4. Understand tool limitations — safepoint bias, entry point coverage, what tools can't see
5. Right tool for the job — no single tool does everything

Static Analysis

Dead Code Detection