A 502 response does not prove that an order was never created. If the application commits an order but the reply fails on its way back, a client that sends a new create request may create a second order. The safe approach is to treat the outcome as uncertain: check or reconcile the original operation, or retry it with the same durable idempotency key, using a bounded retry policy.
The “thousand duplicate orders” in the headline is a scenario, not a verified incident or documented statistic. The mechanism is real; the specific count and cause would require incident logs or a postmortem.
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Why a 502 can be followed by a duplicate order
HTTP 502 is a server-error response. Stripe groups 502 with 500, 503, and 504 in its API error reference: Stripe API errors. The status tells the client about the response, but by itself it does not establish whether the application completed a database write or another side effect before the error reached the client.
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The central problem is therefore uncertainty about the first attempt, not a special property of 502. An error response alone may not tell the client whether a mutation took effect. When possible, query or reconcile the operation’s state before issuing a new create request.
When is it safe to retry a request?
HTTP method semantics provide a starting point, but the API’s actual behavior matters. RFC 9110 defines idempotent methods as those for which multiple identical requests have the same intended effect as one request. It says a client “SHOULD NOT automatically retry a request with a non-idempotent method” unless it can establish that the operation is safe to repeat or detect that the original was never applied. It also says a proxy “MUST NOT automatically retry non-idempotent requests.” See RFC 9110, Section 9.2.2.
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PUT and DELETE are idempotent by HTTP definition; POST is not generally idempotent by default. But a POST endpoint can be made safe to repeat through an explicit idempotency contract. Conversely, do not assume that a verb alone settles the question: check what the endpoint promises and how its implementation handles repeated requests.
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For one logical order-creation attempt, the client should generate a unique, unpredictable operation key, save it, and send the same key with every retry of that attempt. The server can then recognize that a repeated request represents the same intent rather than a new order. Generating a fresh key for each retry defeats that protection.
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Stripe describes idempotency as a way to retry safely without accidentally performing an operation twice. Its implementation details illustrate why clients must read their provider’s contract rather than assume all APIs behave alike: Stripe: Idempotent requests.
- Stripe recommends UUID v4 or another sufficiently random value, limits keys to 255 characters, and compares parameters when a key is reused. Do not use personal information as a key.
- Stripe returns the stored status and response body for a repeated key, including a stored 500 response. Repeating the same key therefore does not necessarily mean the server will re-run the operation.
- Stripe saves a result only after endpoint execution begins. Its documentation says validation failures and certain concurrent-request conflicts do not save a result, so those cases can be retried.
- Stripe may remove keys automatically after they are at least 24 hours old. Reusing a key after it has been pruned creates a new request.
- 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.
Those are Stripe-specific behaviors, not universal rules. For any provider, establish the key’s scope, retention period, parameter-matching rules, and behavior for simultaneous requests before relying on it.
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Why the key and order write must be coordinated
A key stored separately from the order can leave a gap: the service might create the order but fail to record the key, or record the key but fail before creating the order. In either case, a later retry may not behave as intended.
AWS’s guidance emphasizes ACID properties for recording an idempotency token and the related mutating operations. For an order backed by one database, coordinating the key record and order creation in one transaction is a direct way to avoid inconsistent state. Where a single transaction cannot cover all effects, such as calls to separate services, a durable workflow, an outbox, and reconciliation can help maintain and repair the relationship. These patterns require care; an idempotency table by itself is not a guarantee of exactly-once effects. See AWS Builders’ Library: Making retries safe with idempotent APIs.
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How to retry without creating a retry storm
Retries can help with transient failures, but many clients retrying together can add pressure to a struggling service. Use bounded, paced retries only when the operation and error make another attempt useful. Stripe recommends exponential backoff in its error guidance specifically for 429 rate-limit responses; its engineering article explains how exponential waits and random jitter can reduce synchronized retry bursts: Stripe API errors and Stripe: Designing robust and predictable APIs with idempotency.
- Set a deadline and finite budget. Define the maximum time and number of attempts for the logical operation. Stop when either limit is reached rather than retrying indefinitely.
- Increase the wait between attempts, with a cap. Exponential backoff spaces out retries while the service recovers. A maximum delay prevents waits from growing without bound.
- Add random jitter. Randomized delays make clients less likely to send their next attempts in lockstep.
- Keep the same operation key. Every retry of the same intended order must carry the same key and parameters. A changed request should be treated as a different operation, not disguised as a retry.
- Stop when the outcome is known. If the order exists, use that result; if the operation is known to be terminal, do not keep retrying it. If the outcome remains ambiguous, query or reconcile it rather than sending an unprotected new create request.
A 502 should not automatically trigger a retry in every API or circumstance. Follow the service contract, respect the request deadline, and distinguish a transient response from evidence that the operation failed before taking effect.
What to compare when choosing a retry design
| Design choice | What it does | Main trade-off |
|---|---|---|
| Blindly retry a create | Sends another request without checking whether the first took effect or providing deduplication. | Simple, but can repeat side effects and add load. |
| Query or reconcile before retrying | Checks order state or related records after an ambiguous response. | Can avoid unnecessary creates, but depends on a reliable lookup or reconciliation path. |
| Retry with the same idempotency key | Lets the server associate attempts with one logical operation and return or preserve its result. | Works only if the server’s key contract and persistence are correct. |
| Fixed synchronized delay | Waits a fixed amount before each retry. | Clients can still retry together, sustaining a burst. |
| Exponential backoff with jitter and a finite budget | Spaces attempts progressively, randomizes their timing, and limits retry pressure. | Reduces synchronized load but cannot make a non-idempotent operation safe on its own. |
| Best-effort key cache versus durable coordinated storage | A cache may record request keys; durable coordinated storage ties the key to the mutation. | Volatile or inconsistent records can lose deduplication state; stronger coordination requires implementation work. |
There is no universal best design independent of the operation and API. For order creation, the important properties are a clear idempotency contract, durable handling of the key and mutation, a way to recover an ambiguous result, and controlled retry timing.
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Watch for elevated 5xx rates and retry volume, as well as duplicate-key conflicts or disagreement between order and payment records. During recovery, use stable order identifiers and provider request identifiers to investigate uncertain creates. Resubmitting a create with a new key can turn an unresolved first attempt into a second order rather than resolve the uncertainty.
If a specific incident is alleged to have produced a thousand duplicate orders, that number and its cause need confirmation from logs, affected records, or a postmortem. The general failure mechanism explains how duplicates can happen; it does not establish that any particular event occurred.
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