The real power of a Schema Registry shows up when you need to change your message formats over time. Backward, forward, and full compatibility modes - and how to evolve schemas safely without coordinating simultaneous deployments.
A Schema Registry is a central repository for the structure of every message type flowing through Kafka. It enforces contracts, enables safe schema evolution, and turns your event stream into living documentation.
Using Kafka without a schema registry sounds fine in theory - just send JSON. In practice, it becomes a debugging nightmare. How one renamed field broke the ingestion pipeline and why I stopped trusting raw messages.
The Cognitive Substrate needs to ingest a constant stream of events from many different sources - telemetry, tickets, Slack, logs. Here is why Kafka is the right foundation for that, and what I quickly learned it was not enough on its own.
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