Register by July 31 to get a limited edition ping-pong paddle when you check in!

September 24-27, 2018  /  Washington, D.C.

Cloud-Native Streaming with Spring and Kafka Streams


Event Driven, Reactive

Stateful stream processing brings tremendous new opportunities for businesses, who with the real-time insights can interact with their customers in more meaningful ways. Kafka Streams APIs provide the primitives to interact with distributed data sets. As an event-driven microservice framework, Spring Cloud Stream provides the primitives to build cloud-native streaming applications with either imperative or functional programming models. By combining the both, we can create stateful streaming solutions that out-of-the-box can also be orchestrated as Spring Boot applications in modern platforms such as Kubernetes or Cloud Foundry. Given this flexibility, businesses can scale, upgrade, rollback, or continuously deliver data-driven business functions seamlessly. In this talk, we will explore how Spring Cloud Stream and Kafka Streams can support Event Sourcing and CQRS patterns. Look out for stream-joins, state stores, and interactive queries demonstrations. Lastly, we will present the orchestration play using Spring Cloud Data Flow and Spring Cloud Skipper.



Speakers

Sabby Anandan

Sabby Anandan
Principal Product Manager, Pivotal

Soby Chako

Soby Chako
Software Engineer, Spring Cloud Stream/Spring Cloud Data Flow, Pivotal