Building Event-Driven Microservices with Spring Boot and Kafka

Modern software development relies heavily on decoupled, highly scalable systems. Transitioning from monolithic applications to event-driven microservices is essential for building responsive, real-time backend architectures. In this text-based course, you will learn how to design and build a fully functional event-driven microservices ecosystem. You will explore how services communicate asynchronously using Kafka, index and search data with Elasticsearch, and utilize modern Spring AI to simulate real-time data streams for testing and development. What you'll learn: - Understand the core architectural concepts of event-driven microservices and asynchronous communication. - Configure Kafka brokers, topics, producers, and consumers within a Spring Boot application. - Implement fast search and indexing capabilities by integrating Elasticsearch into your microservices. - Use Spring AI and Large Language Models to simulate dynamic, real-time data streams for robust local testing. - Apply modern observability and resilience patterns to monitor and secure your microservices. - Write integration tests for Kafka and Elasticsearch using modern testing practices. The course begins with foundational concepts of microservices architecture and event-driven design before guiding you through hands-on coding exercises. You will progress from setting up basic Spring Boot services to orchestrating a complete, data-driven ecosystem. This course is designed for backend developers, software engineers, and ambitious beginners eager to learn modern microservices architecture. No prior experience with Kafka or Elasticsearch is required, though a basic understanding of Java and Spring Boot is helpful. Start reading today to master the patterns that power modern, scalable enterprise systems.