Real-Time Trending Products

A high-throughput, real-time leaderboard engine built on a horizontally scaled Redis Cluster. The system tracks product popularity across 10 categories by scoring every purchase and view event instantly — maintaining sorted leaderboards over 50,000+ products with sub-millisecond latency. Designed for scale-out from day one, it demonstrates key distributed systems concepts: data sharding, automatic failover, replica read scaling, and pipeline-based bulk ingestion.