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 exception detection feature works and how to use this feature.
An ApsaraDB RDS for MySQL database or a PolarDB for MySQL database is connected to 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|
|Periodic detection||No||Automatic and periodic|
|Adaptability||No||Adaptive to different business features|
Go to the autonomy center.
Go to the autonomy center in the ApsaraDB for RDS console
- Log on to the ApsaraDB for RDS console.
- In the left-side navigation pane, click Instances.
- On the Instances page, find the target 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.
Go to the autonomy center in the DAS console
- Log on to the DAS console.
- In the left-side navigation pane, click Instance Monitoring.
- On the Instance Monitoring page, find the target 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.