Analyze Performance and Errors
at the Line of Execution
Capture line-level, latency, execution paths, and error content under real traffic without redeploying or modifying code.
Replace aggregated metrics
with runtime precision
Stop guessing over dashboards, and see exactly where latency builds and where errors originate.
Trace latency
at the exact line of code
Measure execution time inside specific methods, branches, and logic paths under live load.
Inspect state
when errors occur
Inspect live variable values, call stacks, and payloads at the moment an error occurs.
Analyze downstream
impact under load
Observe how database calls, APIs, queues, and third-party services behave under live traffic.
Performance investigations grounded in live execution
Stop guessing from dashboards. Trace latency and errors to the exact line of execution.
Trace the failing
execution path
Follow real requests through services and dependencies to locate latency or degradation.
Add targeted
runtime instrumentation
Place dynamic logs, metrics, and snapshots exactly where investigation requires evidence.
Capture live
execution evidence
Inspect timing, variables, and branch decisions without rebuilding or restarting services.
Why performance analysis changes outcomes
Stop guessing over dashboards, and see exactly where latency builds and where errors originate.
Shorten time
to root cause
Ground performance decisions in live execution evidence instead of aggregated signals.
Eliminate blind
spots in telemetry
Generate missing evidence of the code’s runtime behavior on demand.
Avoid rebuild cycles
during investigations
Add instrumentation under load without rollbacks or staging drift.