Web applications may suffer from bimodal distribution in page load performance, due to factors outside of the web application’s control. For example: * When a user agent first launches (a "cold start" scenario), it must perform many expensive initialization tasks that compete for resources on the system. * Browser extensions can affect the performance of a website. For instance, some extensions run additional code on every page you visit, which can increase CPU usage and result in slower response times. * When a machine is busy performing intensive tasks, it can lead to slower loading of web pages. In these scenarios, content the web app attempts to load will be in competition with other work happening on the system. This makes it difficult to detect if performance issues exist within web applications themselves, or because of external factors. Teams we have worked with have been surprised at the difference between real-world dashboard metrics and what they observe in page profiling tools. Without more information, it is challenging for developers to understand if (and when) their applications may be misbehaving or are simply being loaded in a contended period. A new ‘confidence’ field on the PerformanceNavigationTiming object will enable developers to discern if the navigation timings are representative for their web application.
None.
Does this intent deprecate or change behavior of existing APIs, such that it has potentially high risk for Android WebView-based applications?
Our partner adopted the feature, but a site bug caused data to be collected too early during the page lifecycle. They've resolved the issue and requested three additional releases to gather data and ensure integration into their performance dashboard.
third_party/blink/web_tests/http/tests/misc/performance-navigation-timing-entry-confidence.tentative.html
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