Handling the Tsunami: Webhook Backpressure and Rate Limiting in High-Volume AI Workflows

When an enterprise marketing campaign triggers 50,000 simultaneous webhooks, downstream AI provider rate limits will drop 80% of your requests with HTTP 429 errors. Here is how to architect Leaky Bucket rate limiting and backpressure queues in n8n.

Written and maintained by Hassan Nazir, Forward Deployed Engineer and Applied AI practitioner.