Database Autonomy Service (DAS) is a cloud service that uses machine learning and expert experience to automate perception, healing, optimization, operations and maintenance (O&M), and security for databases. It simplifies database management and eliminates service failures that may be caused by manual operations. This allows you to ensure the stability, security, and efficiency of your database service.


In ApsaraDB RDS for MySQL, DAS provides the following features:

  • Diagnostics

    You can diagnose your RDS instance and view the diagnostic results.

  • Autonomy center

    You can specify a time range and view events such as exception, optimization, and auto scaling over the specified time range. If DAS detects exceptions on crucial metrics, it diagnoses the related sessions, SQL statements, and storage capacity to identify possible causes. DAS also provides optimization or mitigation suggestions. After you confirm the suggestions, DAS implements the suggestions to resolve the exceptions.

  • Sessions Management

    You can view sessions, collect session statistics, analyze SQL statements, and optimize the execution of SQL statements.

  • Real-time Monitoring

    You can view the real-time monitoring information of your RDS instance. The monitoring information includes the queries per second (QPS), transactions per second (TPS), number of connections, and network traffic.

  • Storage Analysis

    You can view the storage usage, trend, exceptions, tablespaces, and data spaces of your RDS instance.

  • Capacity assessment

    You can view the capacity suggestions, performance capacity, storage usage, and remaining time of your RDS instance. In addition, this feature can use machine learning and capacity algorithms to predict storage usage.

  • Deadlock analysis
  • Performance insight

    You can evaluate the loads of your RDS instance and locate the root causes of performance issues. This allows you to improve the stability of your RDS instance.

  • Dashboard

    You can view and compare performance trends, customize monitoring dashboards, view exception diagnostic results, and view instance topologies.

  • Slow Query Logs

    You can view the trends and statistics of slow queries.

  • Full SQL statistics

    You can view and compare the number of execution times, execution duration, and execution duration distribution of each SQL statement over a specific time range. This allows you to identify problem SQL statements.

  • Report

    This feature supports automatic and manual diagnostics of your RDS instance. In addition, you can view the diagnostic results, such as the instance health, alerts, and slow query logs.