Prompt

What should I use for webhook retries and delivery logs?

Technology / API Platforms1 observationLast seen Oct 5, 2026

Latest observation

Oct 5, 2026OpenAI APIWeb search: off

For webhook retries and delivery logs, a solid default choice is:

  • Retries / job queue: BullMQ (Node.js) or Celery + Redis/RabbitMQ (Python)
  • Delivery logs / audit trail: PostgreSQL as the source of truth
  • Observability: Sentry + structured logs (and optionally Prometheus/Grafana)

Recommended setup

If you’re building in Node.js

  • BullMQ for retrying failed webhook deliveries
  • PostgreSQL to store:
    • webhook subscription
    • delivery attempts
    • final status
    • response code/body
    • retry count
    • timestamps
  • Redis for queue state
  • Sentry for exceptions

If you’re building in Python

  • Celery for async retries
  • Redis or RabbitMQ as broker
  • PostgreSQL for delivery logs
  • Sentry for error tracking

Why this works well

  • Retries belong in a queue, not in your request handler
  • Logs should be queryable and permanent, so use a database
  • You can replay deliveries from logs if needed
  • You can inspect:
    • failed attempts
    • last response
    • latency
    • backoff schedule
    • dead-lettered events

What to store in delivery logs

At minimum:

  • delivery ID
  • webhook ID / subscriber ID
  • event type
  • payload hash or reference
  • attempt number
  • target URL
  • HTTP status
  • error message / timeout reason
  • response body snippet
  • created_at / sent_at / next_retry_at / delivered_at

Retry policy suggestion

  • exponential backoff
  • max 5–10 attempts
  • retry on:
    • timeouts
    • 5xx
    • network errors
  • don’t retry on most 4xx responses except maybe 408/429

If you want the simplest possible answer

  • Use BullMQ + PostgreSQL + Sentry for a Node app
  • Use Celery + PostgreSQL + Sentry for a Python app

If you tell me your stack, I can recommend a more specific setup and schema.

Observation history

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