[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-08-21 (世界標準時間)。"],[[["\u003cp\u003eThis Latency Analysis dashboard applies to both Apigee and Apigee hybrid platforms, providing insights into API proxy performance.\u003c/p\u003e\n"],["\u003cp\u003eThe dashboard measures and displays latency in milliseconds, broken down into median, 95th percentile, and 99th percentile values to identify potential issues.\u003c/p\u003e\n"],["\u003cp\u003eThe dashboard includes key latency metrics such as Response Time, Target Response Time, Request Processing Latency, and Response Processing Latency, to provide details of how each component of the API proxy is performing.\u003c/p\u003e\n"],["\u003cp\u003eAccess the Latency Analysis dashboard via the Analytics > API metrics section in the Apigee UI in Cloud console, or via Analyze > API Metrics > Latency Analysis in the classic Apigee UI.\u003c/p\u003e\n"],["\u003cp\u003eNote that after API calls are made, there can be a 10 minute delay for the data to appear in the dashboard.\u003c/p\u003e\n"]]],[],null,["# Latency analysis dashboard\n\n*This page\napplies to **Apigee** and **Apigee hybrid**.*\n\n\n*View [Apigee Edge](https://docs.apigee.com/api-platform/get-started/what-apigee-edge) documentation.*\n\n\n| **Note:** This feature may not be available in all Apigee plans. To see which pricing plan includes this feature, see \u003chttps://cloud.google.com/apigee/pricing/\u003e.\n\n\u003cbr /\u003e\n\nWhat does this dashboard tell me?\n---------------------------------\n\nThe Latency Analysis dashboard can alert you to any latency issues your API proxies may be\nexperiencing. It displays latency measurements down to the window of a minute, highlighting the\nmedian, 95th percentile, and 99th percentile values.\n\nThe median value tells you the point at which half of your traffic is experiencing latency\nthat is less than this value and half of your traffic is experiencing latency that is greater\nthan this value. For example, if the median response time latency for your selected API proxy is\n62 ms, it means that half of the responses from this API proxy take less than 62 ms. It also\nmeans that half of the responses from this API proxy take more than 62 ms.\n\nThe 95th percentile and 99th percentile values tell you the point at which 95% and 99% of your\ntraffic is experiencing latency that is less than these values. Or rather more importantly, it\ncan point out outlying behavior, telling you that 5% and 1% of your traffic is experiencing\nlatency values that are out-of-range.\n\n\n| **Note:** **Data delay interval** \n| After API calls are made to proxies, it may take up to **10 minutes** for the data to appear in dashboards, custom reports, and management API calls.\n\n\u003cbr /\u003e\n\nThe Latency Analysis dashboard\n------------------------------\n\nTo access the Latency Analysis dashboard:\n\nIn the Google Cloud console, go to the **Analytics \\\u003e API metrics \\\u003e Latency Analysis** page.\n\n[Go to Latency Analysis](https://console.cloud.google.com/apigee/analytics/latency)\n\nThe **Latency Analysis** view is shown:\n\nWhat does this dashboard\nmeasure?\n---------------------------------\n\nSee also this interesting article on the Apigee Community site:\n[When can the Average Total Response Time be less than the Average Target Response Time?](https://community.apigee.com/articles/2695/when-can-the-average-total-response-time-be-less-t.html)"]]
