Posted On: Nov 24, 2020
Amazon RDS Performance Insights supports an additional dimension to identify the source of high-frequency, long-running, and stuck SQL queries faster. The new Performance Insights dimension is available on Amazon RDS for MySQL, Amazon Aurora with MySQL compatibility, and Amazon RDS for MariaDB in the Amazon Web Services China (Beijing) region, operated by Sinnet and the Amazon Web Services China (Ningxia) region, operated by NWCD.
Previously, gathering performance data on a database required configuration and maintenance of monitoring applications and related resources. Correlating performance data took hours without specialized expertise. To find a query of interest, such as a stuck or long-running SQL query, meant investigating each query one at a time.
RDS Performance Insights allows non-experts and experts to identify top SQL loads and from where they originated on a visual dashboard in seconds. Now, RDS Performance Insights supports segmenting the performance data by database name. You can determine if a specific database is generating unusual high load, or is executing SQL queries that take unusually long to complete. You can then make improvements to your application such as optimizing a slow SQL query, changing connection patterns, adding an index to your database, and scaling your instance.
Amazon RDS Performance Insights is a database performance tuning and monitoring feature of RDS that allows you to visually assess the load on your database and determine when and where to take action. With one click in the Amazon RDS Management Console, you can add a fully managed performance monitoring solution to your Amazon RDS database. RDS Performance Insights is included with supported Amazon Aurora clusters and Amazon RDS instances and stores seven days of performance history in a rolling window at no additional cost. If you need longer-term retention, you can choose to pay for up to two years of performance history retention.
To learn more about RDS Performance Insights and supported database engines, read the Amazon RDS User Guide.