// System.Case_Study
Architecting a High-Concurrency Event Ticketing Platform

Ticketing platforms face a unique engineering nightmare: High Concurrency. When a popular event drops, thousands of users attempt to buy the same 100 seats at the exact same millisecond. TicketZone was built to solve this exact race condition.
/02 Solving the Double-Booking Problem
To prevent two users from buying the same ticket, I implemented a robust database transaction strategy using row-level locking. When a user selects a seat, the system issues a temporary 'lock' on that row in the database with a 5-minute TTL (Time To Live) via Redis. If they don't complete the payment via Stripe within that window, the lock expires and the ticket is instantly released back into the pool.
“Frontend beauty means nothing if your backend allows race conditions. True full-stack engineering is anticipating how systems fail under load.
/05 Frictionless Checkout Flow
On the frontend, I engineered a highly optimized multi-step form. By pre-fetching user data and utilizing optimistic UI updates, the perceived latency of the checkout process drops to near zero, significantly reducing cart abandonment rates during high-stress ticket drops.
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