java-performance-profiling

Identify Java performance bottlenecks by running a controlled JFR recording session on a representative workload to capture CPU hot paths, allocation hotspots, and lock contention evidence for structured analysis.

Profile CPU hot paths and lock contention by applying a repeatable workflow that combines JFR and async-profiler concepts to capture evidence on thread states and resource pressure during bounded recording windows.

Yes, you can use async-profiler and JFR for production-safe Java profiling by running bounded recording windows of 30 to 300 seconds with safety considerations to capture evidence without destabilizing the system.

Verify a Java latency fix by re-measuring the targeted workload and documenting before and after improvements to validate that the fix resolved the allocation hotspots and produced a safe, testable outcome.

Use JFR for latency spikes when you need a structured, repeatable profiling loop to build hypotheses from CPU and lock evidence, ship safe fixes, and validate regressions in production-like scenarios.

High CPU in Java applications stems from hot paths or lock contention that you can diagnose by capturing JFR recordings, analyzing the evidence, and documenting findings to produce concise, testable outcomes.