High-load SQL system for Telegram Gifts (10M+ records)

Developed and optimized a high-performance SQL architecture for storing, searching, and analyzing Telegram gifts with over 10 million records.

The system was designed for minimal latency and high load:
— optimized complex JOIN and SELECT queries;
— implemented indexing and partitioning;
— integrated caching via Redis;
— configured replication and monitoring;
— optimized real-time data update pipelines.

Results:
— stable operation under high load;
— minimal query latency;
— 99.99% uptime;
— processing thousands of requests per second;
— readiness for further scaling.

Technologies:
PostgreSQL, Redis, Docker, Linux, Go, Real-Time Processing