Database Autonomy Service (DAS) detects exceptions around the clock based on machine learning and fine-grained monitoring data. Compared with conventional threshold-based detection, DAS can detect exceptions in a database in a more timely manner. This topic describes how the anomaly detection feature works and how to use this feature.
Prerequisites
DAS has accessed the database instance and the access status is Accessed. This feature can only be used to detect ApsaraDB RDS for MySQL and PolarDB for MySQL instances.
Benefits
Item | Conventional method | DAS |
---|---|---|
Technology | Rule or threshold-based | AI-based |
Monitored objects | Metrics | A variety of objects such as metrics, SQL statements, logs, locks, and operations and maintenance (O&M) events |
Latency | From 5 minutes to one or more days | Quasi real-time |
Detection method | Fault-driven | Exception-driven |
Periodic detection | No | Automatic and periodic |
Adaptability | No | Adaptive to different business features |
Prediction | No | Yes |
Procedure
You can go to the Autonomy Center page in the following ways:
-
From the ApsaraDB RDS console
- Log on to the ApsaraDB RDS console.
- In the left-side navigation pane, click Instances.
- On the Instances page, find the instance and click its ID to go to the instance details page.
- In the left-side navigation pane, choose .
- On the page that appears, click the Autonomy Center tab.
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From the DAS console
- Log on to the Database Autonomy Service console.
- In the left-side navigation pane, click Instance Monitoring.
- On the Instance Monitoring page, find the instance and click its ID to go to the instance details page.
- In the left-side navigation pane, click Autonomy Center.
In the autonomy center, you can query events that occurred within a specified time range, including exceptions, optimization suggestions, and auto scaling events.
