How would you design the backend check for a report quota?
Tests reliable quota enforcement without race conditions. A strong answer uses atomic counts or DB constraints, validates at the service layer, and surfaces a clear 4xx. A red flag is a non-atomic SELECT-then-INSERT pattern.
This tests whether you enforce business limits reliably under concurrency, not just check a number. A strong answer covers four things: placement in a service gate rather than the client; correctness via DB constraints, atomic increments, or locking; UX that returns a clear 4xx instead of a generic failure; and lifecycle edge cases like downgrades or async generation. The red flag is a naive SELECT COUNT then INSERT that creates race conditions and overages.
Read the original → Wikipedia: Disk quota
- #quota enforcement
- #concurrency
- #backend design
- #product limits
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