How to Evolve your Microservice Schemas | Designing Event-Driven Microservices

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Schema evolution is the act of modifying the structure of the data in our application, without impacting clients. This can be a challenging problem. However, it gets easier if we start with a flexible data format and take steps to avoid unnecessary data coupling. When we find ourselves having to make breaking changes, we can always fall back to creating new versions of our APIs and events to accommodate those changes.

Check out the Designing Event-Driven Microservices course on Confluent Developer for more details: https://cnfl.io/microservices-101-mod...

RELATED RESOURCES
► Schema Evolution and Compatibility: https://cnfl.io/49Pi4ER
► Schema Evolution: https://cnfl.io/3TiqaPh
► Schema Registry: https://cnfl.io/3TvSpv8
► Microservices course playlist: https://bit.ly/designing-event-driven...

CHAPTERS
00:00 - Intro
00:16 - What is a schema?
00:45 - Do schemaless formats need to evolve?
01:22 - What is schema evolution?
02:06 - How does the data format impact schema evolution?
02:37 - What is a forward-compatible schema?
03:01 - What is a backward-compatible schema?
03:40 - How do we version our APIs and Events?
04:15 - Should my APIs use shared libraries?
05:23 - How can I advertise my schema changes?
05:52 - Closing

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