What type of application are you working on, and can you describe a tough or interesting problem you solved recently?

During my last project I was part of a team building a real‑time analytics dashboard for a logistics company. The application was a single‑page web app built with React and a Node.js backend that streamed data from a Kafka cluster. The toughest challenge was handling the high volume of GPS updates while keeping the UI responsive. I implemented a server‑side aggregation layer that buffered incoming coordinates, performed a moving‑average calculation, and exposed a WebSocket endpoint to the front end. This reduced the number of messages sent to the browser by 80% and eliminated UI stutter. I also introduced a circuit‑breaker pattern to gracefully handle spikes in traffic. The result was a 30% improvement in user satisfaction scores and a 25% reduction in server costs. This experience taught me the importance of balancing real‑time requirements with system scalability and user experience.