Have you ever underestimated Big O in background processing?
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A real-world lesson about Big O complexity in background processing: a nightly cleanup job that scanned all user files started fast but grew unbounded with storage, eventually overlapping with user sessions and causing slowdowns. The fix was switching from full scans to incremental dirty-file tracking, eliminating the O(n) growth problem.
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