Kubernetes Intelligent Inspection¶
Based on intelligent detection algorithms, by regularly monitoring key metrics such as the total number of Pods, Pod restart counts, and API Server QPS, etc., Kubernetes intelligent inspection can promptly identify and predict potential issues in the cluster. This method not only identifies abnormal fluctuations in resource usage but also precisely points out the source of problems through root cause analysis, whether it is due to configuration errors, resource mismatches, or excessive requests. This makes the operation and maintenance work of Kubernetes clusters more intelligent and automated.
Use Cases¶
Deep insight into various performance metrics of the cluster, providing comprehensive monitoring capabilities from cluster resources, service resources to the API server level.
Detection Configuration¶
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Define the name of the monitor;
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Select the detection scope: filter based on the cluster, namespace, and HOST to limit the data range for detection. Supports adding one or more label filters. If no filter is added, all metric data will be detected.
View Events¶
The monitor will obtain the metric information of application service objects detected in the last 10 minutes. When an abnormal situation is identified, corresponding events are generated, which can be viewed in the Events > Intelligent Monitoring list to check the 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 in the top-right corner to adjust Intelligent Monitor Configuration;
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Click the Export button in the top-right corner, supporting options to Export JSON File and Export PDF File, thereby obtaining all critical data corresponding to the current event.
Analysis Report
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Anomaly Summary: displays statistics on the distribution of abnormal APIServer nodes in the current cluster.
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Anomaly Analysis: you can view information such as the number of APIServer nodes, API QPS, the number of read requests being processed, write request success rate, and the number of write requests being processed.