[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2024-12-30。"],[[["This principle focuses on assessing user experience to establish reliability goals and metrics within the Google Cloud Well-Architected Framework's reliability pillar."],["Distinguishing between internal system behavior and user-facing issues is crucial, as only the latter truly impacts service reliability."],["Prioritizing metrics that directly reflect user experience, such as query success ratio, application latency, and error rates, is more effective than solely relying on server-centric metrics like CPU usage."],["Measuring user experience data directly from user devices or browsers is ideal; however, if not feasible, data collection should occur as close to the user as possible, like at a load balancer or frontend service."],["Analyzing user journeys with tracing tools, like Cloud Trace, helps identify bottlenecks and latency issues that negatively impact user experience, thus improving overall service reliability."]]],[]]
