In this session, we'll look at Spring Cloud Data Flow, a cloud native programming and operating model for composable data microservices on a structured platform.
Microservices are commonly thought of as small REST-based services that are assembled to form a larger, more complete application. In reality, however, REST is only the communication mechanism which is only a implementation detail and not intrinsic to the notion of microservices.
Meanwhile, data processing and integration between various components of an application and external services is a key factor of many applications. In cloud native applications, this kind of data flow and processing is still relevant. Spring Cloud Data Flow offers a solution for data processing and integration where each step in the flow is, in fact, a microservice…but not necessarily a REST service.
Craig Walls is a Principal Engineer, Java Champion, Alexa Champion, and the author of Spring AI in Action, Spring in Action, and Build Talking Apps. He's a zealous promoter of the Spring Framework, speaking frequently at local user groups and conferences and writing about Spring. When he's not slinging code, Craig is planning his next trip to Disney World or Disneyland and spending as much time as he can with his wife, two daughters, 1 bird and 2 dogs.