Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL support native streaming replication, allowing data changes to flow from source databases. Organizations often struggle with real-time data capture and dissemination, leading to outdated information due to traditional batch ETL pipelines. Debezium is an open-source platform for change data capture (CDC) that streams database changes to applications or data pipelines in real time.
The CDC solution utilizes PostgreSQL's logical replication capabilities and Debezium's framework. Key components include Amazon Aurora for PostgreSQL as the source database, a Debezium PostgreSQL connector on MSK Connect, Amazon MSK for message streaming, and an Amazon EC2 instance for testing.
To implement the solution, users must enable logical replication on Amazon Aurora, create an Amazon MSK cluster, set up an EC2 instance with Kafka, and create a custom plugin for MSK Connect. The process involves configuring IAM roles and policies, connecting to the database, and creating an Amazon MSK connector to stream changes.
Testing the solution includes verifying real-time changes by inserting, updating, and deleting records in PostgreSQL, with events appearing in Kafka. Monitoring tools are available through CloudWatch for troubleshooting issues like replication slot lag and connector failures.
To clean up resources after testing, users should delete the MSK Connect connector, custom plugin, Amazon MSK cluster, Aurora PostgreSQL database instance, EC2 instance, IAM role and policy, Secrets Manager secrets, CloudWatch Logs log group, and S3 bucket.