A 502 response does not prove that an order was not created. If the application completes the order but the response fails on its way back, a client that sends a new create request can produce a second order. The safe fix is to make retries represent the same logical operation, verify ambiguous outcomes, and limit retry traffic. The specific claim that a 502 fix created exactly 1,000 duplicate orders is not established by the available evidence; the mechanism and safeguards are.
Why a 502 can leave an order’s outcome uncertain
HTTP 502 is a server-error response. Stripe groups 502 with 500, 503, and 504 in its API error reference. But the status alone does not reveal whether an application-side write happened. A request might reach the order service, create an order, and then fail to deliver a usable response. Alternatively, it might fail before creating anything. From the client’s perspective, those outcomes can look alike.
This is the crucial distinction: an error in the response path is not proof that the operation had no effect. When the result is ambiguous, blindly issuing a new order-creation request risks repeating the side effect.
Why automatic retries can multiply orders
HTTP method semantics matter, but the method name is not a complete description of an endpoint’s business behavior. RFC 9110 defines PUT and DELETE as idempotent methods; POST is not generally idempotent by default. An API can, however, make a POST operation safely repeatable through an explicit idempotency contract.
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RFC 9110, Section 9.2.2, says a client “SHOULD NOT automatically retry a request with a non-idempotent method” unless it can establish that the semantics are idempotent or detect that the original request was never applied. It also says a proxy “MUST NOT automatically retry non-idempotent requests.” These are standards statements, not a guarantee that every client library or intermediary follows them. Read the endpoint’s actual contract rather than assuming a retry is safe because a particular HTTP method is in use.
Retries can also increase load during an outage. If many clients retry at the same fixed interval, they may send another synchronized burst just as the service is struggling to recover. That can prolong the failure and increase the number of uncertain requests.
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Use one idempotency key for one logical order
An idempotency key lets a server recognize that multiple HTTP attempts represent the same intended operation. For an order create, generate a unique, unpredictable key when the user’s logical order is first submitted, then reuse that exact key on every retry of that order. Generating a fresh key on each attempt defeats deduplication: the server sees each attempt as new intent.
Persist the key alongside the client’s pending operation so it survives timeouts, process restarts, or a user returning to the checkout flow. Do not derive it from personal information. Stripe recommends UUID v4 or another sufficiently random value, permits keys up to 255 characters, and checks that parameters match when a key is reused. Its API documentation describes idempotency as support for “safely retrying requests without accidentally performing the same operation twice.” See Stripe’s idempotent requests documentation for its current contract.
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Key behavior is provider-specific. Stripe’s documented rules include the following:
- A repeated request with the same key returns the stored status and response body, including a stored 500 response.
- Keys may be pruned once they are at least 24 hours old. Reusing a pruned key can create a new request, so an old key is not an unlimited duplicate-prevention guarantee.
- A result is stored only after endpoint execution begins. Validation failures and certain concurrent-request conflicts do not create a stored result, and Stripe says those cases can be retried.
- Stripe accepts idempotency keys on POST requests; its documentation says they have no effect on GET and DELETE because those methods are idempotent in its API.
Other services can differ in key scope, retention, parameter matching, and concurrent-request behavior. Confirm those details in the API provider’s own documentation before relying on them.
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Make deduplication durable and consistent with order creation
A key stored in a best-effort cache is not enough if the key record and the order write can disagree. If an order is committed but the deduplication record is lost, a retry may create another order. If a key is recorded but the order is not created, a retry may return a result that does not reflect the intended operation.
AWS’s guidance on making retries safe with idempotent APIs emphasizes durable handling and ACID properties for recording the token together with related mutations. Where the order and idempotency record share a database, coordinating them in one transaction is a direct way to avoid inconsistent commits. Where side effects span services and cannot share a transaction, a durable workflow or outbox pattern plus reconciliation can address the gap; those designs still need explicit failure handling rather than assuming a single write covers the whole operation.
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Choose retries that protect both correctness and service health
Retry only when the operation and error make a retry useful, and always preserve the same idempotency key for the same logical request. Set a request deadline, a finite attempt limit or retry budget, and a maximum delay. Exponential backoff increases the wait between attempts; adding random jitter spreads clients’ retries instead of letting them arrive together. Stripe’s engineering guidance describes exponential backoff and jitter as ways to reduce load and avoid a synchronized retry surge. Stripe specifically recommends exponential backoff for 429 rate-limit responses in its error reference; that recommendation should not be read as a rule to retry every 502.
Compare the practical choices:
| Approach | Duplicate-side-effect protection | Behavior after an ambiguous response | Retry pressure |
|---|---|---|---|
| Blindly repeat a create request | None unless the endpoint independently deduplicates | May create another order if the first request succeeded | Can be high, especially with synchronized fixed delays |
| Check or reconcile state before retrying | Depends on whether the order can be identified reliably | Can discover an existing order rather than creating again | Requires a query or reconciliation path |
| Retry with the same idempotency key | Server recognizes repeated intent if its implementation is correct and the key remains valid | Can return the original result under the API’s documented semantics | Still needs backoff, jitter, deadlines, and a finite budget |
No single retry policy fits every API. A naturally idempotent resource operation may be appropriate where the resource identity is known in advance; a create operation commonly needs an explicit operation key or a reliable reconciliation path. The server’s key scope, retention, parameter checks, concurrency handling, and durable storage determine how strong the protection is.
Recover safely when the response is already lost
- Do not submit a fresh create immediately. Treat the outcome as unknown rather than assuming that the failed response means no order exists.
- Check the operation’s durable identity. Query by the client’s order or operation identifier, or use provider request identifiers and other stable references available to the system.
- If retrying is appropriate, reuse the original key. Do not mint a new key for what is still the same customer intent.
- Stop when the result is terminal or the deadline expires. Surface an actionable status for later reconciliation instead of retrying indefinitely.
- Reconcile records during recovery. Compare order and payment records using stable IDs before resubmitting uncertain creates.
Monitor for retry storms and duplicate side effects
Track elevated 5xx responses alongside retry volume, duplicate-key conflicts, and mismatches between order and payment records. These signals help distinguish a transient response-path problem from a client retry policy that is amplifying it. Alerting and reconciliation are operational safeguards; they do not replace a server-side idempotency contract.
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