![]() You can publish the following log types to CloudWatch Logs for Amazon RDS for PostgreSQL: Publishing log files to CloudWatch Logs is supported only for PostgreSQL versions 9.6.6 and later and 10.4 and later. To work with CloudWatch Logs, we configure an Amazon RDS or Aurora instance to publish log data to a log group. For example, if the log_statements parameter is set to ddl, you can set up an alarm to alert you whenever a DDL statement is run. With CloudWatch Logs, you can view metrics, analyze log data, and create real-time alarms. Both services can integrate with CloudWatch to provide metrics for instances, and both provide an option to export the PostgreSQL log to publish to CloudWatch Logs. Amazon RDS and Aurora instances are preconfigured with parameters and settings for the server type you choose. It takes only a few clicks on the AWS Management Console to launch and connect to a PostgreSQL database. Solution overviewĪmazon RDS for PostgreSQL and Amazon Aurora PostgreSQL are two managed database offerings from AWS that support the PostgreSQL database engine. ![]() After filtering, we use Amazon Simple Notification Service (Amazon SNS) to be notified of database events and errors that need attention. In this post, we walk through the steps to set up alerts on a PostgreSQL log file using keywords or metrics filters in Amazon CloudWatch Logs. These tools let you monitor the load on the database, host-level metrics, and instance activity and errors respectively. You can use a variety of tools to monitor databases on AWS, such as Amazon RDS Performance Insights, Amazon CloudWatch, and Amazon Relational Database Service (Amazon RDS) database log files. Based on the severity of the events, either manual or automatic intervention might be needed to avoid issues. A good understanding of a normal pattern of errors in your environment will help in filtering irrelevant errors and catching relevant errors for notification. Monitoring for errors on a business-critical database is essential to avoid unexpected outcomes such as a missed service-level agreement (SLA), which might result in penalties. Database administrators set up monitoring on database log files to get alerted on certain informational and critical events relating to a pattern of errors specific to a database.
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