Cloud-native Streaming and Event-Driven Microservices
Talk delivered at Spring IO in Barcelona (May 20, 2016)
The talk introduces Spring Cloud Stream as a framework for developing event-driven microservices, as well as Spring Cloud Data Flow as an orchestration and deployment layer.
Consumer Groups • Borrowed from Kafka, applied to all binders • Groups of competing consumers within the pub-sub destination • Used for scaling and partitioning Spring I/O 2016
Spring Cloud Data Flow • Orchestration: • DSL for Stream topologies • REST API • Shell • UI • Portable Deployment SPI • OOTB apps for common integration use- cases Spring I/O 2016
Stream DSL: pipes and filters Stream definition Boot Apps build on top of Spring Ecosystem httpfile = http | file | Spring I/O 2016 ‘pipe’, or how to communicate Rabbit, Kafka, Gemfire
Timeline • Spring Cloud Stream • 1.0.0.GA May 10, 2016 • 1.1.0.M1 July 2016 • 1.1.0.GA Q3 2016 • Spring Cloud Data Flow • 1.0.0.M3 May 7, 2016 • 1.0.0.RC1 End of May, 2016 Spring I/O 2016