Amazon CloudWatch Database Insights expands anomaly detection in on-demand analysis
Amazon CloudWatch Database Insights now detects anomalies on additional metrics through its on-demand analysis experience. Database Insights is a monitoring and diagnostics solution that helps database administrators and application developers optimize database performance by providing comprehensive visibility into database metrics, query performance, and resource utilization patterns. The on-demand analysis feature utilizes machine learning to help identify anomalies and performance bottlenecks during the selected time period, and gives advice on what to do next.
The Database Insights on-demand analysis feature now offers enhanced anomaly detection capabilities. Previously, database administrators could analyze database performance and correlate metrics based on database load. Now, the on-demand analysis report also identifies anomalies in database-level and operating system-level counter metrics for the database instance, as well as per-SQL metrics for the top SQL statements contributing to database load. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice while reducing mean time to diagnosis. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution.
You can get started with on-demand analysis by enabling the Advanced mode of CloudWatch Database Insights on your Amazon Aurora or RDS databases using the AWS management console, AWS APIs, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of Database Insights across different regions, engines, and instance classes.