Real-time price-drop engines and concurrency-safe order execution across cross-platform channels.
Resolving severe network clock drift in client-side countdowns and preventing race conditions and double-selling when thousands of users simultaneously trigger Buy Now clicks.
Engineered an NTP-style latency handshake syncing all client clocks to absolute server time and formulated a 3-layer concurrency-safe ordering pipeline.
Separated high-frequency bidding telemetry entirely into memory caches (Redis HASH) to shield primary database from excessive SQL write-locks.
Constructed a WebSocket-based handshake estimating ping latency and adjusting client device timers to synchronize with server clock.
Redis Redlock overhead during simultaneous Buy clicks
Zero deadlock transaction validation capacity
Utilizing Redis Redlock to serialize, followed by PostgreSQL row-level locks for transaction write-back.
SELECT status, winner_id FROM auctions WHERE id = $1 FOR UPDATE;I specialize in building production-grade systems that solve complex operational problems. Let's discuss how I can help architect your solution.