Microservices, Events, and Breaking the Data Monolith with Kafka

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, Ben and Cornelia will tackle how to do 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 Pivotal Privacy Statement:  https://pivotal.io/privacy-policy Confluent Privacy Statement:  https://www.confluent.io/confluent-privacy-statement/ This webinar:  https://content.pivotal.io/webinars/feb-27-microservices-events-and-breaking-the-data-monolith-webinar