AladinMall Marketplace

Project Overview

Built a high-performance sports data API that aggregates and serves real-time scores, statistics, and match information from multiple sports leagues. The system handles millions of requests daily with sub-second response times.

Challenges

• Handling millions of API requests with low latency
• Aggregating data from multiple unreliable sources
• Ensuring data consistency across different sports
• Building scalable caching strategy

Solutions

• Implemented multi-layer caching with Redis and in-memory stores
• Built resilient data aggregation pipeline with retry mechanisms
• Created unified data model for different sports types
• Developed intelligent cache invalidation based on match events

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