性能问题只能通过系统化流程来发现。要收集与复杂系统的关键部分相关的分析洞见,必须使用合适的工具。如需详细了解您可以使用哪些技术来深入了解系统的执行情况,请下载科学的性能分析方法。
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最后更新时间 (UTC):2025-03-26。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-03-26。"],[],[],null,["# Performance analysis\n\nPerformance issues require a systematic process to uncover. To gather insights\ninto critical parts of complex systems, the right tools must be used. To learn\nmore about the techniques you can use to delve deeper into the execution of a\nsystem, download [A Scientific Approach to Performance Analysis](/static/docs/automotive/performance-analysis/gapb-2024-aaos-101-day3-performance-analysis-tuning-101-final.pdf)."]]