Managing upgrades for the Aurora PostgreSQL-Compatible Edition can be labor-intensive and error-prone when done manually. Automating Amazon Aurora PostgreSQL upgrades can reduce manual effort by up to 80% and minimize downtime risks through consistent procedures. The automation solution uses AWS Systems Manager, Amazon EC2, and AWS Secrets Manager, structured around two modules: PREUPGRADE for readiness checks and UPGRADE for the actual upgrade process. The solution identifies upgrade candidates using database tags, creates safety backups with Copy-on-Write clones, manages the upgrade process with minimal human intervention, and offers real-time monitoring and email notifications.
The workflow includes logging into the Systems Manager console, downloading the upgrade script, identifying Aurora PostgreSQL clusters based on tags, retrieving credentials from AWS Secrets Manager, executing pre-upgrade checks or upgrades, uploading log files to Amazon S3, and sending email notifications via Amazon SNS. Prerequisites include familiarity with the Aurora upgrade process, appropriate IAM permissions, creating a maintenance user, setting up AWS Secrets Manager, tagging Aurora clusters, creating an S3 bucket, and configuring an SNS topic for notifications.
Implementation steps involve reviewing setup instructions, uploading the upgrade script to S3, creating an AWS Systems Manager automation document, executing the automation document, and monitoring the upgrade process through logs generated during pre-upgrade and upgrade phases. The logs provide detailed information on tasks performed, including replication slot status and configuration backups. After testing, it is recommended to clean up resources to avoid future charges.