The event-driven architecture of microservices is based on events that drive actions in each service. In this paradigm, services act on a common stream of events, which can be processed using the Kafka Streams library to build streams from data in a Kafka topic and take action on them. To handle specific requirements, such as processing only relevant events or dynamically routing output topics, branching or dynamic routing capabilities are used. These capabilities allow microservices to subscribe to separate streams or produce data into new Kafka topics based on certain conditions or derived from event fields. The application assumes advance knowledge of the output topic names but can also use a TopicNameExtractor to dynamically determine the name of the Kafka topic to send records, enabling dynamic routing. This feature allows for flexible and efficient processing of events in various domains, such as finance, retail, and IoT.