High-Concurrency Sports Dashboard
Engineered a real-time data engine providing live scores, deep match analysis, and cinematic highlights, ensuring sub-second latency for thousands of concurrent global fans.
The Challenge
Handling massive traffic spikes during live sporting events while delivering real-time data updates to thousands of concurrent users with sub-second latency.
The Solution
Designed an event-driven architecture utilizing WebSockets and Redis caching. Offloaded heavy analytical computations to background workers and used Next.js for SSR to optimize initial load times.
Tech Stack
Key Features
Live play-by-play updates with sub-100ms latency
Interactive data visualizations for player stats and match analytics
Auto-scaling infrastructure to handle unpredictable traffic spikes
Cinematic video highlight integration with custom video player