Keep one source of truth.
Most products already have a place where a business fact becomes real: a database transaction commits, a record changes, or a state transition is stored. Change data capture starts there. Instead of asking every application to remember to publish a follow-up notification, it observes the committed change itself.
scroll ↓ one change, many useful reactions
The original request stays small; the change becomes available.
Let other systems react independently.
Once a change becomes a stream, downstream systems can consume it for their own purpose: search indexing, notifications, analytics, synchronization, or integration delivery. The original service does not need to wait for each of those jobs to finish before it can respond.
The work does not disappear.
Consumers still need to handle duplicate messages, version their expectations, and make failures observable. A change stream should not become a hidden second database. The useful discipline is to keep messages meaningful, consumers independent, and recovery paths visible.
Used well, CDC makes connected systems feel less tightly coupled. It gives teams a dependable way to respond to change without turning every feature into a chain of synchronous requests.