Architecture and Processing
Webhook Processing Architecture
Webhook endpoints often appear simple but production systems require careful architecture to handle retries, duplicates, timeouts, and failed processing safely.
Most webhook incidents occur not because the endpoint fails, but because downstream processing becomes unreliable.
A robust webhook system separates event reception from event processing.
Instead of performing heavy work during the HTTP request, developers typically queue the event and process it asynchronously.
The basic webhook processing pattern
A common architecture follows four steps:
- Receive the webhook request
- Validate the signature
- Store the event
- Dispatch background processing
The endpoint returns a success response quickly while workers process the event later.
Why queues are essential
Queues isolate webhook delivery from application processing.
If business logic becomes slow or temporarily fails, webhook delivery still succeeds while background workers retry processing.
- reduces webhook timeout risk
- protects against traffic bursts
- allows retry strategies
- improves system resilience
Handling duplicate webhook events
Webhook providers retry failed deliveries automatically. This means your system may receive the same event multiple times.
To avoid duplicate side effects, webhook processing must be idempotent.
See our guide on idempotent webhook handling in Laravel.
Retry strategies
Queue workers typically retry failed jobs several times before giving up.
Retry policies should consider:
- temporary infrastructure failures
- third-party API outages
- database locks
- network instability
Dead letter queues
If a webhook event repeatedly fails processing, it should be moved to a dead letter queue.
Dead letter queues allow engineers to inspect failed events and replay them later without losing data.
This pattern prevents events from disappearing silently after repeated failures.
Common architecture mistakes
- processing webhook logic synchronously
- not storing event IDs
- missing retry strategies
- ignoring failed jobs
- no monitoring for webhook processing
Key takeaways
- Webhook endpoints should respond quickly
- Queues isolate delivery from processing
- Idempotency prevents duplicate effects
- Dead letter queues preserve failed events
- Monitoring helps detect processing failures