一句话：展示一套整合统计 profiling、低开销 tracing 与 trace 可视化的 Linux 性能分析工作流，用于定位性能瓶颈。
本文以教程形式面向 Linux 系统上的软件性能诊断，指出仅靠强大工具不够，还需要选择、配置与组合互补分析技术的系统方法。教程引导参与者完成完整性能分析工作流，将统计性 profiling、低开销 tracing 与高级 trace 可视化结合起来，用于诊断性能问题。通过动手练习，参与者练习剖析执行热点、跟踪系统与应用事件、跨层关联性能数据，并识别性能瓶颈的根本原因。其贡献在于提供可操作的端到端方法论与实操经验，而非新的分析算法或工具实现。
Diagnosing performance problems requires not only powerful tools but also a systematic methodology for selecting, configuring, and combining complementary analysis techniques. This tutorial walks participants through a complete performance analysis workflow that integrates statistical profiling, low-overhead tracing, and advanced trace visualization to diagnose performance issues in Linux systems. Through guided hands-on exercises, participants will gain practical experience in profiling execution hotspots, tracing system and application events, correlating performance data across layers, and identifying the root causes of performance bottlenecks.