Delivery and Reliability
Handling Webhook Backpressure in High Traffic Systems
Webhook systems often experience sudden spikes in event volume. Payment providers, billing updates, and subscription renewals can generate thousands of events in seconds.
What is webhook backpressure
Backpressure occurs when incoming webhook requests arrive faster than the system can process them.
Without proper architecture, this leads to:
- slow response times
- retry storms from providers
- queue buildup
- database overload
Separate ingestion from processing
The webhook endpoint should acknowledge requests quickly. Heavy processing should be delegated to background workers.
Webhook request
↓
store event
↓
queue worker
↓
business logic
Limit concurrent workers
Unbounded worker concurrency can overload the database. Worker limits protect downstream systems.
Implement queue buffering
Message queues act as buffers when traffic spikes occur. Events accumulate temporarily while workers process them gradually.
Monitor backlog size
Queue backlog metrics help detect pressure early. Growing queues often indicate a downstream processing bottleneck.