Agenda

Your Apache KafkaⓇ Topics Are APIs - Treat Them Like It

Sandon Jacobs, Confluent

Wed, Nov 4, 1:00⁠–⁠1:45 PMRoom 2006

Data and AI GovernanceIntermediateBreakout session

Would you build a REST API and make users guess the request and response formats?

Yet that's exactly what many data streaming deployments do.

Apache Kafka's flexible, unopinionated serialization is a huge strength, but it's also a potential risk. Even if your event streams carry structured data, enforcing that structure, managing its evolution, and validating its contents aren't hard requirements. This leaves consumer applications preprocessing every event - even ones with no business value.

Designing structured events with a schema (Apache Avro and Google Protobuf) models your business domain and promotes safe evolution practices. Schema-aware serializers enforce event structure before it's written to the stream, while consumers leverage those shared schemas to deserialize on the other end. Build-time validation catches schema problems before code ever reaches review - one last line of defense against poison data. Through all of it, the goal is the same: treat your Kafka topics with the same rigor you'd apply to any API contract - because that's exactly what they are.

Join us to learn how to move validation upstream - transforming your event streams into data consumers can actually trust, with a practical blueprint for schema integrity and automated evolution.

Speaker

Also on at this time

Add to calendar

Google Calendar Outlook.com Outlook (work or school) Apple Calendar (.ics)