Created a real-time analytics dashboard with Spring Boot, REST APIs, and WebSocket/STOMP streaming to surface live application metrics and improve operational visibility.
Overview
The dashboard provides a backend-driven path for collecting and displaying live system metrics. REST endpoints support structured access to metric data, while WebSocket/STOMP streaming keeps the UI updated as new events arrive.
Key Features
- REST APIs for metric retrieval and system status endpoints
- WebSocket/STOMP channels for live metric updates
- Real-time dashboard views for operational visibility
- Backend architecture built with Java and Spring Boot
Technical Implementation
Spring Boot powers the API layer and WebSocket messaging. The streaming path lets clients subscribe to updates instead of polling repeatedly, improving responsiveness for live metric views.
Impact
The system improves observability by making live application behavior visible in one place, giving teams faster feedback when monitoring active workloads.