DMS CDC to Kinesis/MSK

Introduction

AWS Database Migration Service (DMS) allows for the continuous capture of data changes from a source database to target data stores using Change Data Capture (CDC). This lesson focuses on how to implement CDC to Amazon Kinesis or Amazon Managed Streaming for Apache Kafka (MSK).

Key Concepts

• DMS: An AWS service for migrating databases to AWS.
• CDC: Continuous Data Capture, a technique to track changes in data.
• Kinesis: A platform for real-time data processing.
• MSK: Managed service for Apache Kafka, a distributed streaming platform.

Step-by-Step Process

1. Set Up DMS

Log into the AWS Management Console and navigate to DMS. Create a new replication instance.

2. Configure Source and Target Endpoints

Define the source database endpoint and the Kinesis/MSK endpoint.

Example:

aws dms create-endpoint --endpoint-identifier source-endpoint \
    --endpoint-type source \
    --engine-name mysql \
    --username admin \
    --password password \
    --server-name mydbinstance.abc123.us-east-1.rds.amazonaws.com \
    --database-name mydatabase \
    --port 3306
                

3. Create a Migration Task

Create a migration task that will use CDC to capture changes.

aws dms create-replication-task --replication-task-identifier my-task \
    --source-endpoint-arn source-endpoint-arn \
    --target-endpoint-arn target-endpoint-arn \
    --migration-type cdc \
    --table-mappings file://mapping.json
                

4. Start the Replication Task

Start the replication task to begin capturing changes from the source database.

aws dms start-replication-task --replication-task-arn task-arn --start-replication-task-type start-replication
                

Best Practices

• Monitor task performance regularly to ensure the CDC process is efficient.
• Use proper IAM roles and policies for DMS access.
• Configure logging for troubleshooting and auditing purposes.
• Test the migration in a staging environment before production.

FAQ