The essence of high concurrency is using caching and queues to flatten traffic peaks.
The essence of high concurrency is using caching and queues to flatten traffic peaks. This article draws on our hands-on experience serving over 3,000 enterprise clients.
Four layers of protection: CDN static caching, gateway rate limiting, queue peak shaving, and inventory serialization—intercepting layer by layer.
Promotion stress testing must be done at real data volumes—capacity planning by guesswork is bound to fail.
The most common pitfall is protecting only the order-placement API while peripheral logic like inventory replenishment and timeout order closure goes haywire.
If you're evaluating a related project, we welcome a conversation—16 years and over 3,000 enterprise clients of experience may help you avoid a few detours.