perfetto-trace-analysis

You can find the root cause of UI jank by analyzing your Perfetto trace file to systematically isolate CPU, graphics, I/O, IPC, memory, and power bottlenecks using evidence-backed SQL workflows.

Analyzing Perfetto SQL trace files for memory pressure involves domain-hint driven hypothesis planning and a strict SQL reference execution protocol to verify thread states and slice identity before drawing conclusions.

Yes, you can investigate app startup latency without specifying the package name; the analysis automatically identifies the active app during broad startup performance requests and asks you to choose.

The evidence-first workflow for Android performance debugging builds a chain of evidence by logging verified timestamps, slice identity, and thread states before drawing conclusions about latency or memory issues.

Yes, Perfetto trace analysis supports identifying graphics and IPC bottlenecks by targeting interactive debugging scenarios across CPU, I/O, memory, and power to pinpoint the root cause of latency.

When analyzing incomplete slices in Perfetto traces, limitations are mitigated by a strict SQL reference execution protocol that ensures safe handling of incomplete slices and correct overlap analysis before reporting.