Build Real-Time Applications with Spring WebSockets
WebSockets establish a persistent, full-duplex connection between client and server — eliminating the overhead of repeated HTTP polling and enabling truly live data exchange. Spring's native WebSocket support, combined with the STOMP sub-protocol and message brokers, gives Java developers a production-grade foundation for chat systems, live dashboards, real-time notifications, and collaborative tools. This track covers the full stack: from opening your first connection to deploying horizontally-scaled WebSocket services in the cloud.
What You Will Learn
You will start with the fundamentals of the WebSocket protocol and how Spring wires it into its application context. From there you will work with STOMP for structured pub/sub messaging, build an interactive chat application, and lock down endpoints with Spring Security. The track then moves into error handling, real-time data streams, and push notifications before covering Spring WebFlux reactive WebSockets, external message brokers for horizontal scaling, and performance monitoring. The final course addresses microservices architecture and cloud deployment strategies for stateful WebSocket services.
The Learning Path
Twelve courses span A1 through C2. The opening course introduces real-time system concepts and the WebSocket handshake at the protocol level. Mid-track courses — Building Interactive Chat Applications, Securing Your WebSocket Endpoints, and Real-Time Data Streams and Notifications — form the core of practical B-level work. The final four courses push into C1 and C2 territory: Advanced Spring WebSocket Features, Scaling WebSockets with External Brokers, Reactive WebSockets with Spring WebFlux, and Microservices and Cloud Deployment. One introductory course is free; the remaining eleven are part of the Pro track.
How It Works
Each course is split into short, hands-on lessons you complete in the built-in code editor with real-time feedback. An AI tutor is available whenever you get stuck, and exercises are graded against live test cases so you see exactly where your implementation diverges from the expected behavior.
