Reactive programming in the cloud

Even though Spring Cloud Streams provide a simplified way of achieving a distributed reactive system, we still have to deal with the list of configurations (for example, the configuration of destinations) to deal with the specifics of the Spring Cloud Streams programming model, and so on. Another significant problem is reasoning about flow. As we may remember from Chapter 2, Reactive Programming in Spring - Basic Concepts, one of the main reasons for inventing reactive extensions (as a concept of asynchronous programming) was to achieve a tool that hides complex asynchronous data flow behind the functional chain of operators. Even though we can develop specific components and we can specify the interaction between components, the digging into the whole picture of the interaction between them might become a puzzle. Similarly, in...