Defines a small set of log fields (request id, user id, feature flag, latency bucket) so production debugging does not depend on grep across inconsistent printf strings.
Use cases
- New microservice
- Agent tool calls
- Noisy incidents
Key features
- Pick required fields and levels
- Emit JSON or key=value consistently
- Wire dashboards to those fields
Related
Related
3 Indexed items
Performance profiling
Finds real bottlenecks using traces, flame graphs, and system metrics before rewriting code—so optimizations target measured latency, not guesses.
Systematic debugging
Replaces guesswork with hypotheses, tight reproductions, and evidence—so you fix root causes in production incidents, flaky builds, and confusing regressions.
Canary rollouts
Ships a small percentage of traffic to a new build first, watches error budgets and latency, then widens or rolls back—so surprises stay small when agents touch deploy pipelines.