perf-profile

To identify performance hotspots using a flamegraph, you capture profiling data, allocation metrics, and latency histograms from your workload, then analyze the visualized call stacks to pinpoint root causes.

To diagnose latency SLO violations, run a profiling workflow that captures latency histograms and allocation data, comparing current metrics against a baseline to locate the specific bottlenecks.

You measure performance regressions by capturing repeatable benchmarks and latency profiles from the current workload, then comparing this data against a baseline to validate if regressions occurred.

You need allocation tracking and latency profiling for memory pressure issues when a workload misses its memory budgets, allowing you to capture allocation data and identify the root cause of the system slowdown.

Yes, profiling memory pressure requires a baseline for end-to-end comparison to accurately identify hotspots, validate performance improvements, and determine if the workload is missing its memory or latency budgets.