One of the trickiest problems with microservices is dealing with data as it becomes spread across many different bounded contexts. An event architecture and event-streaming platform like Kafka provide a respite to this problem. Event-first thinking has a plethora of other advantages too, pulling in concepts from event sourcing, stream processing, and domain-driven design. _x000D_
In this talk, you will learn the following:
- Transform the data monolith to microservices
- Manage bounded contexts for data fields that overlap
- Use event architectures that apply streaming technologies like Kafka to address the challenges of distributed data