Prompt

What should I use for webhook backoff and dead-letter handling?

Technology / API Platforms2 observationsLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

For webhook delivery, a good default is:

Retry/backoff

Use exponential backoff with jitter.

Example policy:

  • Immediate first retry only if the failure is clearly transient
  • Then retry at: 1m, 5m, 15m, 1h, 6h, 24h
  • Add random jitter so many failed webhooks don’t retry at the same time
  • Cap the max retry delay and total retry window

Why:

  • Exponential backoff avoids hammering a failing receiver
  • Jitter prevents retry storms
  • It’s the most common and predictable pattern for webhook systems

Dead-letter handling

Move the webhook to a dead-letter queue / failed-delivery store after:

  • max retry attempts reached, or
  • retry window exceeded, or
  • a non-retryable error is returned

Store enough data to inspect and replay:

  • webhook payload
  • target URL
  • response status/body
  • error type
  • attempt count
  • timestamps
  • idempotency/event ID

Then provide:

  • manual replay
  • automatic replay after endpoint recovery
  • alerting/monitoring for repeated failures

Practical recommendation

A solid default policy is:

  • Retryable errors: network timeouts, 429, 5xx
  • Non-retryable errors: 400/401/403/404/410, invalid payload, signature mismatch
  • Max attempts: 8–12
  • Backoff: exponential with full jitter
  • DLQ: after max attempts or permanent failure
  • Replay: admin-triggered and idempotent

If you want a simple implementation

Use:

  • queue + retry metadata
  • delivery worker
  • dead-letter table/queue
  • idempotency key per event
  • per-destination rate limiting

If you tell me your stack (e.g. AWS/SQS, Kafka, Postgres, Redis, Celery, Temporal, etc.), I can suggest a concrete setup and retry schedule.

Observation history

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