ended6월 18일· 1 sources
The 10,000 Request Truth: Why Automation Always Fails at Scale
규모의 진실: 자동화 시스템이 생산 환경에서 무너지는 이유
Why it matters
This article reveals a critical gap between testing and production environments that developers often overlook. While local tests only expose code bugs, production workloads surface behavioral patterns that automated systems cannot hide—predictable timing, session reuse, and connection consistency become increasingly detectable as request volume accumulates. Understanding why 10,000 requests expose problems invisible at 100 requests is essential for anyone building resilient data collection systems or implementing defenses against them.
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data collectionscale failurestiming patternssession reusedetection systemsrequest volume