Prompt

What’s the best way to handle webhook rate limits and burst traffic?

Technology / API Platforms1 observationLast seen Oct 5, 2026

Latest observation

Oct 5, 2026OpenAI APIWeb search: off

The best approach is to decouple receiving webhooks from processing them and make your webhook handler fast, resilient, and idempotent.

Recommended pattern

1) Acknowledge immediately

  • Verify the signature/authentication.
  • Parse just enough to validate the payload.
  • Return a 2xx response as quickly as possible.
  • Avoid doing heavy work inline (DB updates, API calls, file processing, etc.).

2) Queue the work

Push each webhook event into a durable queue/stream, such as:

  • SQS
  • RabbitMQ
  • Kafka
  • Redis queues
  • Cloud Tasks / Pub/Sub

Then process asynchronously with worker consumers.

This smooths out bursts and protects your webhook endpoint from being overwhelmed.

3) Make processing idempotent

Webhook providers often retry, and bursts can cause duplicates.

  • Use the webhook event ID as an idempotency key.
  • Store processed IDs in a dedupe table/cache.
  • Ensure downstream operations can be safely repeated.

4) Control concurrency and backpressure

On the worker side:

  • Limit concurrent jobs per downstream service.
  • Use bulkheads/separate queues for different event types.
  • Apply rate limiting when calling external APIs.
  • Prefer bounded queues so you can detect overload early.

5) Use retries with exponential backoff

For transient failures:

  • Retry with exponential backoff + jitter.
  • Respect Retry-After headers if the provider sends them.
  • Cap the number of retries and move poison messages to a dead-letter queue.

6) Monitor lag and failure modes

Track:

  • Queue depth
  • Processing latency
  • Retry counts
  • Duplicate rate
  • 4xx/5xx responses
  • Dead-letter queue volume

This helps you know whether you’re handling burst traffic or just delaying failure.

If you control the outbound webhook delivery

When sending webhooks to others:

  • Rate limit deliveries per destination
  • Use batching where acceptable
  • Retry only failed deliveries
  • Spread bursts with jitter
  • Prioritize important events
  • Use per-tenant quotas to prevent noisy neighbors

Simple rule of thumb

If a webhook handler can’t finish in a few hundred milliseconds, it should probably enqueue and return.

If you want, I can also sketch:

  1. a reference architecture,
  2. a sample implementation in Node/Python/Go, or
  3. a rate-limiting strategy for your specific provider.

Observation history

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