Building Event-Driven Microservices with Kafka and Spring Boot

Modern backend systems rely heavily on event-driven architectures to remain scalable, resilient, and loosely coupled. If you want to transition from traditional synchronous APIs to high-performance asynchronous microservices, understanding how to integrate Kafka with Spring Boot is an essential step. This text-based course guides you from the fundamental building blocks of message streaming to deploying fully functional, production-ready microservices. You will learn how to architect message flows, manage data persistence, implement robust error handling, and leverage modern AI-assisted coding practices to accelerate your development workflow. What you'll learn: - Understand core Kafka concepts including topics, partitions, consumer groups, offsets, replication, and broker architecture. - Build reactive Spring Boot producers and consumers that publish and process events efficiently. - Configure advanced error-handling strategies, retries, dead-letter topics, and transactional messaging. - Integrate microservices with PostgreSQL databases for reliable event persistence and state management. - Apply modern AI-assisted coding workflows and prompt engineering to write, document, and test Spring Boot code. - Deploy containerized microservices using Docker and understand the basics of Kubernetes orchestration. You will begin by learning fundamental messaging concepts and Kafka architecture before moving on to step-by-step implementation guides. Through detailed explanations and code walkthroughs, you will progress from writing simple producers to configuring resilient, containerized multi-service environments. This course is designed for backend developers, software engineers, and system architects who are new to Kafka or event-driven design. No prior experience with event streaming is required, though a basic understanding of Java and Spring Boot is helpful. Start reading today to build the foundation you need for modern, event-driven system design.