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Su San Talks Tech
Su San Talks Tech
Apr 16, 2025 · Backend Development

How to Prevent Product Overselling in High‑Traffic E‑Commerce Systems

This article explains why inventory overselling occurs during massive sales events, analyzes the root causes such as non‑atomic database operations, and presents practical solutions—including optimistic locking, Redis atomic scripts, distributed locks, message‑queue peak shaving, and pre‑deduct strategies—while highlighting common pitfalls and best‑practice combinations for robust e‑commerce back‑ends.

Redisdistributed-lockecommerce
0 likes · 9 min read
How to Prevent Product Overselling in High‑Traffic E‑Commerce Systems
Lobster Programming
Lobster Programming
May 18, 2024 · Backend Development

How to Prevent Inventory Overselling in High‑Traffic E‑Commerce Systems

This article explains several common technical solutions—locking queues, update‑statement limits, optimistic locking, temporary tables, and Redis pre‑stocking—to prevent inventory overselling, comparing their suitability for different concurrency levels and recommending the best approach for high‑traffic scenarios.

Concurrencyecommerceinventory
0 likes · 5 min read
How to Prevent Inventory Overselling in High‑Traffic E‑Commerce Systems
Architecture Digest
Architecture Digest
Jan 25, 2018 · Backend Development

Handling Concurrency and Preventing Duplicate Ticket Booking in Train Ticket Systems

The article examines how a train ticket ordering system can encounter duplicate bookings when multiple users concurrently request the same seat and evaluates four different locking strategies—including flag fields, pessimistic locks, synchronized blocks, and a hybrid optimistic‑pessimistic approach—to ensure data consistency and avoid over‑booking.

backendlockingoptimistic-lock
0 likes · 5 min read
Handling Concurrency and Preventing Duplicate Ticket Booking in Train Ticket Systems
Architecture Digest
Architecture Digest
Sep 8, 2017 · Backend Development

Optimizing a High‑Concurrency Lottery System: Caching, Queueing, Optimistic Locking, and Read/Write Splitting

The article analyzes a lottery‑service bottleneck caused by massive concurrent database reads and writes and presents a comprehensive set of backend optimization techniques—including caching, queue‑based peak‑shaving, optimistic locking, asynchronous processing, read‑write splitting, and semaphore‑based rate limiting—to improve throughput and stability under high load.

backendcachingoptimistic-lock
0 likes · 9 min read
Optimizing a High‑Concurrency Lottery System: Caching, Queueing, Optimistic Locking, and Read/Write Splitting