Introducing Profiling for Java
Released on: March 2026Atatus Profiling for Java brings continuous, production-safe profiling to your Java applications. With always-on CPU and memory profiling, teams can identify hot methods, memory leaks, and thread contention bottlenecks without impacting application performance.
Visualize execution paths with interactive flame graphs, compare profiles across deployments to catch performance regressions, and drill down to method-level timing to pinpoint exactly where your application spends its time.
Key Features of Java Profiling in Atatus:
- CPU Flame Graphs: Visualize CPU consumption across your entire call stack with interactive flame graphs that highlight the hottest code paths and most expensive methods.
- Heap Memory Profiling: Track heap allocations, identify memory leaks, and analyze garbage collection activity to optimize memory usage and prevent OutOfMemoryError crashes.
- Thread & Lock Monitoring: Detect thread contention, deadlocks, and lock wait times that degrade throughput and latency in multi-threaded Java applications.
- Differential Profiling: Compare profiles between deployments, time ranges, or service versions to quickly identify which code changes caused performance regressions.
- Low-Overhead Collection: Production-safe profiling with less than 2% CPU overhead, using async-profiler-based sampling for continuous collection without impacting users.
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