How a Unique Database Constraint Solves Duplicate Payments in Fintech Systems
A developer building a double-entry payments ledger on AWS EKS discovered that handling duplicate 'send money' requests was far harder than managing cloud infrastructure. A naive check-then-insert approach in Python appeared safe but contained a concurrency window where two simultaneous retries could both pass the duplicate check and trigger double debits. The real fix came from a single database-level UNIQUE constraint on the idempotency key, combined with a Postgres ON CONFLICT clause, making deduplication atomic at the storage layer rather than relying on application logic. An ElastiCache layer was added for performance, but only as a cache written after database commit, ensuring Redis failures affect latency rather than financial correctness. The key lesson: sequential tests cannot expose this class of bug, making concurrency-aware design and database-enforced constraints essential in payment systems.
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