Mi displays core performance indicators such as mobile application interaction performance, crash rate, HTTP error rate, network error rate, behavioral data such as user access trajectories, user actions, and operational data such as active users, allowing users to have a more comprehensive and in-depth understanding of the current application The overall performance experience status, promote product optimization and upgrade.
The user experience is evaluated from the three core indicators of user action, network request, and crash, and the user distribution is summarized in multiple dimensions such as application version, operating system, device, and region.
Complete record of each user's access trajectory, by viewing a single user's access, backtracking of slow movements, wrong requests and crashes during the process.
Comprehensively monitor the page interaction and network request information caused by each click of a user action, find APP performance bottlenecks in time, and locate user experience optimization points.
According to indicators such as total requests, slow requests, and error requests, a multi-dimensional combined analysis of the distribution is performed on different application versions, regions, network types, system versions, and devices. Through the statistics of the proportion of network requests in multiple indicator dimensions, in-depth analysis of the details of network request errors, and intuitive discovery of hidden performance hazards.
According to different domain names, the response time of each network request, the first packet time, socket tcp link establishment time, DNS time, transmission volume, frequency and error rate are displayed. Through dimensional analysis, the distribution of slow requests in any or multiple dimensions can be displayed, so that performance problems can be accurately located, and the details of slow requests can be drilled down to further locate the problem in combination with end-to-end analysis.
Detailed display of the device, operating system, application version, number of occurrences, and users affected by a certain type of crash, restore the track of the crash, and locate the crash code line.
WebView page loading real-time tracking, display the corresponding page URL white screen time, CPU, memory consumption, JS error and other performance indicators, analyze page loading time and resource loading time, targeted optimization of WebView performance experience.