User Access Intelligent Detection¶
Using intelligent detection algorithms, the system can intelligently monitor performance anomalies and error spikes when users access websites or apps. By analyzing detection metrics, the system will automatically perform anomaly analysis and trigger alerts when necessary.
Performance analysis metrics include:
- LCP (Largest Contentful Paint greater than or equal to 2.5 seconds);
- INP (Interaction to Next Paint greater than or equal to 200 milliseconds);
- FID (First Input Delay greater than or equal to 100 milliseconds);
- CLS (Cumulative Layout Shift greater than 0.01).
Based on these performance analysis metrics, the system will calculate the percentage of affected users during the detection interval and trigger alerts according to predefined alert level thresholds:
- Critical level: Affected user percentage exceeds 76.2%;
- Warning level: Affected user percentage exceeds 47.4%;
- Error level: Affected user percentage exceeds 59.8%.
Error detection metrics include:
- Session error count;
- View error count;
- Action error count.
Use Cases¶
- Supports monitoring metric data anomalies for application types including Web and APP.
Detection Configuration¶
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Define the monitor name;
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Select detection frequency: The execution frequency of the detection rule, fixed at 60 minutes;
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Select detection scope: Filter the data scope to be detected through fields. If no filter is added, all application data will be detected.
View Events¶
The monitor will retrieve the last 60 minutes of application service object metric information. When anomalies are detected, corresponding events will be generated. You can view these anomaly events in the Events > Intelligent Monitoring list.
Event Details Page¶
Click Event to view the details of the intelligent 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 Intelligent Monitor;
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Click the Export button in the upper right corner to choose between Export JSON File and Export PDF File, allowing you to obtain all key data corresponding to the current event.
Analysis Report
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Anomaly Summary: Displays the user access service label, analysis report details, and anomaly distribution statistics;
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View Performance/Error Analysis: Links to the user access view dashboard, analyzing metrics such as LCP, FCP, and view error rate trends.
Note: When multiple interval anomalies exist, the Anomaly Analysis dashboard defaults to displaying the anomaly situation of the first interval. You can click [Anomaly Value Distribution Chart] to switch, and the anomaly analysis dashboard will synchronize accordingly.