There are new styles of microservices use cases in the context of big data, cognitive computing, bots, and IoT:
The preceding diagram shows a simplified Lambda architecture commonly used in the context of big data, cognitive, and IoTs. As you can see in the diagram, microservices play a critical role in the architecture. The batch layer process data, and store typically in a Hadoop Distributed File System (HDFS) file system. Microservices are written on top of this batch layer process data and build serving layer. Since microservices are independent, when they encounter new demands, it is easy to add those implementations as microservices.
Speed-layer microservices are primarily reactive microservices for stream processing. These microservices accept a stream of data, apply logic, and then respond with another set of events. Similarly, microservices...
