Finds real bottlenecks using traces, flame graphs, and system metrics before rewriting code—so optimizations target measured latency, not guesses.
Use cases
- Latency regressions
- Costly endpoints
- CPU or GC spikes
Key features
- Reproduce under realistic load
- Capture traces or profiles
- Validate fixes with the same harness
Related
Related
3 Indexed items
Finishing a development branch
Closes the loop on a branch: green tests, clean commits, push hygiene, and a deliberate choice between merge, squash, or follow-up tickets.
Incident response
Structures on-call work: timeline, blast radius, mitigations, and customer comms—so fixes stay coordinated instead of chaotic thread hopping.
Systematic debugging
Replaces guesswork with hypotheses, tight reproductions, and evidence—so you fix root causes in production incidents, flaky builds, and confusing regressions.