Developing Event-Driven Applications with Apache Kafka and AMQ Streams

Modern software architectures demand systems that are highly responsive, scalable, and resilient. Transitioning to event-driven architectures allows your applications to process massive streams of data in real time, but mastering the underlying integration patterns requires a solid foundation. This course guides you from the core concepts of event streaming to deploying enterprise-grade messaging pipelines. You will start by mastering foundational terminology, learning how distributed commit logs operate, and understanding the core architecture of brokers, topics, and partitions. From there, you will progress to writing robust producers and consumers, managing serialization, and handling schema evolution. You will also explore how AMQ Streams simplifies running Kafka on cloud-native platforms using operator patterns. What you'll learn: - Understand the core principles of event-driven architecture and distributed messaging - Configure Apache Kafka topics, partitions, and replication factors for high availability - Build reliable producers and consumers using modern asynchronous programming patterns - Implement schema management and serialization best practices to ensure data integrity - Deploy and manage event streams using AMQ Streams and operator-based patterns - Troubleshoot common integration challenges, offset lag, and delivery guarantees This text-based course is designed for software developers, system architects, and integration engineers who want to build modern distributed systems. No prior experience with Kafka or event streaming is required, though a basic understanding of application development and microservices will help you get the most out of the material. Start reading today to unlock the power of real-time data streaming.