Event Streaming Applications with Kafka - A Live Coding Session
Dive into the world of event streaming applications through this live coding session. Learn how Kafka offers a scalable, fault-tolerant, and replayable platform for handling big data and events. Explore three key libraries: Spring Kafka for creating and testing consumers and producers, Kafka Streams for functional programming and fraud detection, and Spring Actuator for monitoring event streams. Gain hands-on experience in building applications with consumers, producers, and streams. Follow along as experienced developer Ko Turk demonstrates live coding techniques, covering essential patterns like branching, joining, and mapping. Discover how to create and test a Topology for fraud detection using the TopologyTestDriver. By the end of this session, acquire the skills to develop your own event streaming applications and leverage Kafka's powerful features for asynchronous data processing.