CDC Pipelines
Unlocking data from the database jail. Change Data Capture (CDC) turns static tables into dynamic streams of events.
Beyond Polling
Traditional ETL jobs run nightly. In a modern business, yesterday's data is too late. We shouldn't be polling the database (`SELECT * FROM orders WHERE updated_at > last_run`); we should be reacting to changes instantly.
CDC tools hook directly into the database's write-ahead log (WAL). Every insert, update, and delete is captured immediately and pushed to a message broker with zero impact on query performance.
Use Cases
- ●Cache Invalidation: Instantly update Redis when the primary Postgres record changes.
- ●Search Indexing: Keep ElasticSearch/OpenSearch perfectly in sync with your transactional DB.
- ●Microservices Sync: Allow other services to subscribe to Order Updates without coupling them to the Orders service API.
