Microservices, Events, and Breaking the Data Monolith with Kafka - Ben Stopford, Confluent & Cornelia Davis, Pivotal
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.
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
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