AWS DMS for Simple CDC Pipelines
AWS DMS (Database Migration Service) is often overlooked as a CDC tool because of its migration-focused marketing, but it's actually excellent for simple change data capture pipelines.
Key advantages for CDC use cases:
- Native Aurora integration - Built-in support for Aurora Postgres with minimal configuration
- Managed service - No infrastructure to maintain, automatic scaling
- Direct Lambda integration - Can invoke Lambda functions directly for each change event
- Built-in transformation - Supports light transformations during replication
- Low operational overhead - Significantly simpler than Debezium/Kafka setups
Simple CDC pipeline pattern:
Aurora → DMS (CDC mode) → Lambda → Target System
When to use:
- Internal tools with moderate scale requirements
- Need for simple, maintainable solutions
- Teams with limited infrastructure support
- POCs that need to scale gracefully
When NOT to use:
- Need complex event routing/filtering
- Require exactly-once delivery guarantees
- Multi-region event distribution
- Sub-second latency requirements