Intelligent User Access Detection¶
By leveraging intelligent detection algorithms, the system can intelligently monitor performance anomalies and sudden error increases when users access websites or apps. Through analysis of detection metrics, the system will automatically perform anomaly analysis and trigger alerts when necessary.
Performance analysis metrics include:
- LCP (Largest Contentful Paint time greater than or equal to 2.5 seconds);
- INP (Interaction time 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 within the detection interval and issue alerts according to predefined alert level thresholds:
- Critical level: More than 76.2% of users are affected;
- Warning level: More than 47.4% of users are affected;
- Error level: More than 59.8% of users are affected.
Error detection metrics include:
- Session error count;
- Page error count;
- Action error count.
Use Cases¶
Supports monitoring for abnormal metric data of application types including Web and APP.
Detection Configuration¶
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Define the name of the monitor;
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Select the detection frequency: i.e., the execution frequency of the detection rule, fixed at 60 minutes;
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Select the detection scope: Filter the data range to be detected through fields; if no filtering is added, all application data will be detected.
View Events¶
The monitor will retrieve metric information for the application service objects over the last 60 minutes. When an anomaly is identified, corresponding events will be generated. These can be viewed in the Events > Intelligent Monitoring list to check corresponding abnormal events.
Event Details Page¶
Click Event to view the details page of the intelligent monitoring event, including event status, time of anomaly occurrence, anomaly name, analysis report, alert notifications, history records, and related events.
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Click the Jump to Monitor button in the top right corner to adjust the Intelligent Monitor;
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Click the Export button in the top right corner to support exporting as a JSON file or PDF file, thereby obtaining all key data corresponding to the current event.
Analysis Report
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Anomaly Summary: Displays user access service tags, detailed analysis reports, and statistical anomaly distributions;
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Page Performance/Error Analysis: Links to the user access page dashboard to analyze trends in page LCP, FCP, page error rate, and other metrics.
Note: When there are multiple interval anomalies, the Anomaly Analysis dashboard defaults to displaying the anomaly situation of the first anomaly interval. You can switch by clicking on the [Anomaly Value Distribution Chart], after which the anomaly analysis dashboard will synchronize interactively.