Reactive streaming is becoming the best approach to handle data flows across asynchronous boundar...
Reactive streaming is becoming the best approach to handle data flows across asynchronous boundaries. Here, we present the implementation of a real-world application based on Akka Streams. After reviewing the basics, we will discuss the development of a data processing pipeline that collects real-time sensor data and sends it to a Kinesis stream. There are various possible point of failures in this architecture. What should happen when Kinesis is unavailable? If the data flow is not handled in the correct way, some information may get lost. Akka Streams are the tools that enabled us to build a reliable processing logic for the pipeline that avoids data losses and maximizes the robustness of the entire system.