Event streams and stream processing as a response to communication and data challenges in microservice architecture

One of the troubles that can be faced in microservice-based architecture is data – how it is moved between services, shared and stored. Following thesis provides analysis of different approaches to problem of communication between microservices and investigates how using events and stream processing with Apache Kafka and Kafka Streams library could address difficulties of data sharing and exchange in decentralized environments. It presents analysis of chosen tools and approach themselves as well as provides conclusions based on created prototype.