Build Event-Driven Microservices with Spring Boot and Apache Kafka
Apache Kafka is the de facto backbone for high-throughput, fault-tolerant messaging between microservices, and Spring Boot 4 provides first-class integration through Spring Kafka. This track teaches you to design, implement, secure, and operate production-grade event-driven systems — from publishing your first message to tuning consumers at scale and deploying with confidence.
What You Will Learn
You will start with the core concepts of Event-Driven Architecture, then work through Kafka producers and consumers in Spring Boot, schema management using Avro, and securing Kafka-connected applications. From there you move into operational concerns: robust error handling and dead-letter strategies, exactly-once semantics with transactional messaging, real-time stream processing via the Kafka Streams API, and advanced consumer group strategies. You will also cover monitoring and observability for Kafka ecosystems — metrics, tracing, and alerting — before finishing with deployment patterns and production best practices.
The Learning Path
Twelve courses span B1 through C2. The track opens at B1 with Introduction to Event-Driven Architecture and Kafka Fundamentals for Spring Developers, builds hands-on skills at B2 through producer and consumer implementation, Avro schema management, and security, then advances to C1 with Robust Error Handling in Kafka Consumers, Transactional Messaging with Spring Kafka, Stream Processing with Kafka Streams API, and Monitoring and Observability for Kafka Ecosystems. The track concludes at C2 with Advanced Deployment and Best Practices.
How It Works
Each course is split into short, focused lessons you work through in the built-in code editor with real-time feedback. An AI tutor is available whenever you get stuck, so you can resolve questions immediately and keep moving forward.
