A recent K8s host‑level deployment triggered massive service timeouts because runc 1.1.5 passed incorrect CPU‑binding masks to systemd, causing containers to share cores, inflating load and starving workloads, a problem uncovered with Perfetto, BPF tracing and a targeted bug‑fix upgrade.
This article introduces the Perfetto web UI, explains its four main sections, walks through essential navigation shortcuts, and shares practical techniques such as viewing wake‑up sources, critical paths, pinning threads, inspecting CPU info, buffer usage, timeouts, and logs to help Android developers efficiently analyze performance traces.
Perfetto’s tracing system links multiple producers to a single consumer via shared‑memory buffers, where careful sizing of pages, chunks, and central buffers, along with tuned protobuf encoding and scheduling priorities, mitigates CPU overhead and prevents data loss, enabling reliable observability on Android devices.
This article introduces Perfetto, the Android platform‑level tracing tool, explains its architecture and data sources, details how to record and import trace files, demonstrates analysis features such as slice, counter and lock‑contention views, provides SQL query examples, and shares practical troubleshooting cases for mobile developers.
This article provides an in‑depth technical walkthrough of Android’s traced_perf component, covering its code layout, integration with Perfetto, IPC mechanisms, perf_event handling, sample acquisition, stack unwinding, and trace writing, while illustrating each step with diagrams and reference links.
This article details Baidu's comprehensive approach to improving Android app launch performance by evaluating existing tracing tools, selecting Perfetto, developing a Gradle-based automatic instrumentation plugin, handling trace collection and analysis with Trace Processor, and implementing automated detection of regressions, lock contention, and method-level CPU and wall‑time degradations.
This article explains how to build a high‑precision Android startup performance pipeline by selecting the right tracing tool, extending Perfetto with custom Gradle instrumentation, handling edge‑case trace mismatches, and using Trace Processor’s Python API for automated wall‑time and CPU‑time regression detection.
This guide explains how to install and use Perfetto, Android’s next‑generation tracing tool, covering trace capture via command line or Traceur, UI navigation, key trace elements, and practical SQL queries for analyzing slices, counters, scheduling, thread states, and lock contention to optimize performance.
