Monitoring log events in Amazon CloudWatch

With Aurora PostgreSQL log events published and available as Amazon CloudWatch Logs, you can view and monitor events using Amazon CloudWatch. For more information about monitoring, see View log data sent to CloudWatch Logs.

When you turn on Log exports, a new log group is automatically created using the prefix /aws/rds/cluster/ with the name of your Aurora PostgreSQL and the log type, as in the following pattern.

/aws/rds/cluster/your-cluster-name/postgresql

As an example, suppose that an Aurora PostgreSQL DB cluster named docs-lab-apg-small exports its log to Amazon CloudWatch Logs. Its log group name in Amazon CloudWatch is shown following.

/aws/rds/cluster/docs-lab-apg-small/postgresql

If a log group with the specified name exists, Aurora uses that log group to export log data for the Aurora DB cluster. Each DB instance in the Aurora PostgreSQL DB cluster uploads its PostgreSQL log to the log group as a distinct log stream. You can examine the log group and its log streams using the various graphical and analytical tools available in Amazon CloudWatch.

For example, you can search for information within the log events from your Aurora PostgreSQL DB cluster, and filter events by using the CloudWatch Logs console, the AWS CLI, or the CloudWatch Logs API. For more information, Searching and filtering log data in the Amazon CloudWatch Logs User Guide.

By default, new log groups are created using Never expire for their retention period. You can use the CloudWatch Logs console, the AWS CLI, or the CloudWatch Logs API to change the log retention period. To learn more, see Change log data retention in CloudWatch Logs in the Amazon CloudWatch Logs User Guide.