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Give each password-reset notification a stable identifier, persist its processing state, and record every send attempt separately. Reprocessing the same logical event can then be made safe inside your application. That does not guarantee exactly-once delivery to an inbox or phone: an application retry, an HTTP retry, a queue retry, and a provider’s delivery callback are different events with different behavior.
What does an idempotency key prevent?
HTTP idempotency is about intended server effect: under RFC 9110, repeating an identical idempotent request is intended to have the same effect as making it once. It does not make every side effect of your request—such as sending a message—automatically idempotent. RFC 9110 also advises clients not to automatically retry a non-idempotent request unless they can establish that its semantics are idempotent or that the original request was not applied. RFC 9110, HTTP Semantics
For a reset workflow, the key should let your application recognize repeated processing of the same logical notification. It cannot prove that a provider did or did not accept a send when your application loses the response, and it cannot guarantee that a recipient receives only one message.
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Use an opaque identifier for the logical reset-request event, scoped to the deduplication boundary you actually want. A reasonable design includes an event version and notification channel when email and SMS are separate logical notifications. For example, a conceptual key might resemble reset:v1:opaque-event-id:email; the opaque portion should not expose the reset token, message body, raw email address, or phone number.
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Decide explicitly how a new reset request relates to an earlier one. A user may intentionally request another reset, and the newer request may invalidate or supersede the earlier reset token. Do not deduplicate all requests for a user into one permanent event: distinguish a repeated processing attempt for the same request from a genuinely new request.
Keep the key’s retention period at least as long as the longest retry or replay window in your system. There is no universal password-reset retention duration established by the cited standards or provider documentation; set it from your own queue, worker, provider, and operational replay policies.
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How should you model attempts and audit events?
Keep the logical notification separate from the individual attempts and later provider feedback. The following is an application design pattern, not a schema required by the standards or providers:
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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitches| Record or event | What it represents | Useful fields |
|---|---|---|
| Logical reset notification | One intended notification for a reset request and channel | Opaque event key, reset-request reference, channel, event version, creation time, current processing state |
| Dispatch attempt | One attempt to enqueue or send that notification | Unique attempt ID, event key, timestamp, channel, retry reason, provider response category, outcome, next retry time if scheduled |
| Provider response | Acceptance or rejection reported during a send attempt | Attempt ID, provider message identifier when available, response category, response time |
| Delivery feedback | A later delivery, bounce, or complaint notification, where available | Provider message identifier when available, feedback type, received time, processing disposition |
Use a persistent state transition or equivalent concurrency control so two workers cannot independently treat the same logical event as a fresh notification. A retry should point back to the same event key but have its own attempt ID and timestamp. Keep the attempt outcome and later feedback distinct: provider acceptance is not the same event as delivery to the recipient.
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How do you retry safely when the send result is unclear?
A timeout can leave the application uncertain whether the provider accepted a send. Retrying may create a duplicate if the first send succeeded; not retrying may leave the user without a message if it did not. An idempotency key in your own database makes repeated application processing observable and controllable, but it does not resolve this provider-side ambiguity by itself.
- Create the logical event once. Persist the reset request and its intended notification event before dispatching it. Ensure repeated handling of the same request resolves to the existing event rather than creating a new logical notification.
- Record each attempt before or as it is dispatched. Give every attempt its own identifier and timestamp, and retain the channel, retry reason, and resulting response category.
- Classify the outcome. Record whether the provider accepted or rejected the attempt, or whether the result is unknown. Store a provider message identifier when one is returned.
- Make retry decisions from recorded state. Apply a deliberate policy to retryable failures and ambiguous outcomes rather than blindly repeating a non-idempotent send. Record the next retry time or a terminal disposition.
- Process later feedback as a new audit event. Link delivery, bounce, or complaint feedback to the relevant notification or provider message identifier where available; do not overwrite the original attempt history.
Which retry layer are you handling?
Set policy and audit fields for each layer independently. A setting that controls webhook retries does not establish that outbound sends are deduplicated, and a queue retry is not the same as a provider’s retry of a callback.
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- Application or worker retry: Your system decides whether and when to process the logical event again. Use the stable event key to suppress duplicate processing and a separate attempt ID to preserve the history of each try.
- HTTP/API retry: Before automatically repeating a request that may cause a send, establish whether its semantics are idempotent or whether the original request was not applied. RFC 9110’s retry guidance concerns HTTP semantics; it does not define a password-reset notification key.
- Queue or provider delivery retry: Use the specific service’s retry policy and exhaustion behavior, not a generic assumption about email or SMS. For example, Amazon SNS says that when its delivery policy is exhausted it stops retrying and discards the message unless a dead-letter queue is attached to the subscription. Its HTTP/S policy cannot exceed 3,600 seconds, according to the current SNS documentation; this is an SNS configuration limit, not a general retry duration. Amazon SNS message delivery retries
- Provider callback or webhook retry: Treat each callback receipt as its own processing concern. Twilio documents the
I-Twilio-Idempotency-Tokenheader for distinguishing webhook retry attempts. That documentation addresses webhook requests; it does not establish idempotency for outbound password-reset sends. Twilio webhook connection overrides
How should you audit email delivery feedback?
Send provider feedback into the audit trail as separate events rather than treating the send response as the final delivery result. Amazon SES can publish delivery, bounce, and complaint feedback to SNS topics. AWS requires those SNS topics to be in the same Region as the SES configuration. Amazon SES email feedback notifications
Preserve enough information to correlate feedback to an attempt or provider message identifier when available. A feedback event should have its own receipt time and processing outcome, since it arrives separately from the original dispatch. The SES documentation establishes these feedback types and the regional requirement; it does not prescribe your application’s audit schema.
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What should operational logs leave out?
Keep reset secrets and personal data out of keys and free-form audit labels. In particular, do not log reset tokens, message bodies, raw email addresses, or phone numbers as a convenient substitute for event identifiers. AWS SNS security guidance cautions against placing confidential or sensitive information, including customer email addresses, in tags or free-form name fields. Apply data minimization to your application’s keys and logs as well. Amazon SNS security
Retain operationally useful fields instead: opaque event and attempt identifiers, channel, timestamps, retry reason, response category, provider identifier when available, next retry time, terminal disposition, and later feedback. Restrict access and retention according to your own security and privacy requirements.
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