Posted On: Sep 27, 2022

Amazon DevOps Guru for RDS is now available in the Europe (London and Paris), Asia Pacific (Mumbai and Seoul), US West (N. California), South America (São Paulo), and Canada (Central) regions.

Amazon DevOps Guru for RDS is a Machine Learning (ML) powered capability for Amazon Relational Database Service (Amazon RDS) that automatically detects and diagnoses database performance and operational issues, enabling you to resolve bottlenecks in minutes rather than days. Amazon DevOps Guru for RDS is a feature of Amazon DevOps Guru, which detects operational and performance related issues for Amazon RDS engines and dozens of other resource types. Amazon DevOps Guru for RDS expands upon the existing capabilities of Amazon DevOps Guru to detect, diagnose, and provide remediation recommendations for a wide variety of database-related performance issues, such as resource over-utilization and misbehavior of SQL queries. When an issue occurs, Amazon DevOps Guru for RDS immediately notifies developers and DevOps engineers and provides diagnostic information, details on the extent of the problem, and intelligent remediation recommendations to help customers quickly resolve the issue. Amazon DevOps Guru for RDS is available for Amazon Aurora MySQL and PostgreSQL–Compatible Editions in these regions.

Amazon DevOps Guru is an ML powered service that helps improve an application’s operational performance and availability. By analyzing application metrics, logs, events, and traces, Amazon DevOps Guru identifies behaviors that deviate from normal operating patterns and creates an insight that alerts developers with issue details. When possible Amazon DevOps Guru, also provides proposed remedial steps via Amazon Simple Notification Service (Amazon SNS), Amazon EventBridge, and partner integrations. To learn more, visit the Amazon DevOps Guru product  and documentation pages.

To learn more about Amazon DevOps Guru for RDS, see “Working with anomalies in DevOps Guru for RDS" in the Amazon DevOps Guru User Guide.