Application Intelligent Detection¶
By leveraging intelligent detection algorithms, it can automatically identify sudden increases or decreases in application request volumes, surges in error request counts, and sharp rises or drops in request latency. These abnormal patterns are captured through the abnormal metrics of application services and automatically trigger the anomaly analysis process.
Use Cases¶
- Used to monitor whether application services are experiencing anomalies or interruptions, ensuring smooth service operation.
Configuration¶
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Define the monitor name.
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Select the detection scope: Filter the data of the detection metrics based on the tags of the metrics, limiting the data range for detection. Supports adding one or more tag filters. If no filter is added, all metric data will be detected.
View Events¶
The monitor retrieves the metric information of the application service objects from the last 10 minutes. When anomalies are identified, corresponding events are generated. You can view these abnormal events in the Events > Intelligent Monitoring list.
Event Details Page¶
In the event explorer, you can view the details of the intelligent monitoring event, including the event status, anomaly occurrence time, anomaly name, analysis report, alert notifications, historical records, and related events.
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Click Jump to Monitor in the upper right corner to view and adjust the Intelligent Monitor Configuration;
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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 related to the current event.
Analysis Report
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Anomaly Summary: Displays the current abnormal application service tags, detailed anomaly analysis report, and statistics on the anomaly value distribution.
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Resource Analysis: For monitoring request counts, you can view the top 10 resources by request count, top 10 resources by error request count, and top 10 resources by requests per second.
Note
If multiple anomalies occur, the first segment is focused by default; click the "Anomaly Value Distribution Chart" to switch intervals, and the dashboard will update accordingly.