Custom Stream Apps with Spring Cloud Data Flow

Abstract

In the previous chapter, I showed you the Spring Cloud Data Flow components and how they work together to create a stream solution for processing data. I showed you how to create streams using simple cURL commands by pointing to the Spring Cloud Data Flow server that exposes a REST API. I showed you how a Data Flow shell works by creating, deploying, and destroying streams. I discussed how to programmatically create dynamic solutions by using Java DSL for creating stream definitions. And, I said that you could run the same streams in any cloud platform, such as Kubernetes, and take advantage of high availability and load balancing, among other features.