HotspotProfiler

Detect production performance hotspots from continuous profiling data

Code & DevelopmentPaid

HotspotProfiler analyzes continuous profiling data from production applications to identify performance hotspots — functions that consume disproportionate CPU time, allocate excessive memory, or hold locks for extended periods. The tool correlates hotspots with deployment events to identify which code changes introduced regressions, generates differential flame graphs comparing periods, and ranks optimization targets by estimated user-facing latency impact. Performance engineering teams use it to focus optimization efforts on the specific code paths that will yield the most improvement.

Key Features

• ✓Continuous profiling analysis
• ✓Differential flame graphs
• ✓Deployment correlation
• ✓Lock contention tracking
• ✓Impact-ranked optimization targets