RUM Smart Monitoring¶
Using intelligent detection algorithms, the system automatically monitors performance anomalies and error spikes when users access websites or apps. By analyzing the detected metrics, the system performs anomaly analysis automatically and triggers alerts when necessary.
Use Cases¶
Supports anomaly detection for metrics of application types including Web and App.
Detection Configuration¶
- Go to Monitoring > Smart Monitoring, click Create, and select RUM Smart Monitoring.
- Enter a monitor name.
- Adjust the detection conditions and delete unnecessary rules.
- To filter applications or environments, expand the rule's Detection Query (DQL) and modify the filter conditions.
- Configure event notifications, alert policies, and operation permissions, then save.
View Events¶
In the monitor list, click View Related Events to view the anomaly events generated by the monitor.
Event Details Page¶
Click Events to view the details page of a smart monitoring event, including event status, anomaly occurrence time, anomaly name, analysis report, alert notifications, history, and related events.
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Click Jump to Monitor in the upper-right corner to view and adjust the Smart Monitor.
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Click Export in the upper-right corner to choose Export JSON File or Export PDF File to obtain all key data corresponding to the current event.
Analysis Report
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Anomaly Summary: displays user access service tags, analysis report details, and anomaly distribution statistics.
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Page Performance/Error Analysis: links to the RUM page dashboard to analyze trends of metrics such as page LCP, FCP, and page error rate.
Note
When anomalies occur in multiple intervals, the Anomaly Analysis dashboard displays the anomaly conditions of the first anomaly interval by default. You can switch by clicking the "Anomaly Distribution Chart", and the Anomaly Analysis dashboard will update accordingly.