The Real User Monitoring (RUM) sub-service of Application Real-Time Monitoring Service (ARMS) simulates user interaction and monitors frontend applications, such as web applications, apps, and mini programs. Application performance is evaluated based on the page load time, service calls, JS errors, network errors, crashes, and Application Not Responding (ANR) errors. RUM provides log query to help you troubleshoot problems and improve user experience.
RUM has been available for commercial use since 00:00:00 (UTC +8) on June 24, 2024. For more information, see Billing. To obtain technical support, join the DingTalk group chat (ID: 67370002064).
Multi-device support
You can easily integrate web applications, apps, or mini programs into RUM and monitor the user experience without instrumentation.
Easy integration
To collect application performance data, you only need to introduce dependencies to the application project and configure simple initialization code without modifying the application code.
End-to-end monitoring
RUM replays user sessions to track errors, delays, and exceptions that occur during user interaction. End-to-end network analysis is provided in conjunction with Application Monitoring to facilitate troubleshooting.
Log query
RUM stores log data in Simple Log Service (SLS) and supports log query. In addition, RUM integrates metric data with Alibaba Cloud Managed Service for Prometheus. You can use Managed Service for Prometheus to manage metric data.
Data exploration
RUM provides the data exploration capabilities to help you flexibly analyze metric data when you regularly track errors. You can configure dimensions and metrics as filter conditions to quickly locate root causes.
Visualization
In addition to the built analysis capabilities, RUM provides out-of-the-box Grafana dashboards to help you visualize monitoring data. You can customize dashboards based on your business requirements.