Maximize trace speed and minimize resource usage.

Minimize Profiler Overheads by avoiding runtime instrumentation.

Event based triggered recording can be configured in the trace project.

Remove noisy distraction noise and minimize complexity (recording + analysis).

Investigate data related issues with data context inclusion.

Drilldown from performance analysis to trace view to analyze specific executions.

The trace agents are attached to 5 Azure machines with 2 active recordings.

Recording multiple applications in a network.

Tailored recording with data context, filters and triggers.

Simultaneously record multiple processes on different machines.