Enterprise Webhook Infrastructure — High-Throughput Processing

I will build enterprise webhook processing infrastructure — handling high-throughput event ingestion with a message queue backend, horizontally scalable processing workers, per-provider rate limiting, dead letter queue management, event sourcing with full replay capability, and a comprehensive monitoring stack tracking throughput, latency, and error rates across all event sources. Enterprise webhook volumes (millions of events per day) require infrastructure engineering beyond a simple endpoint — a message queue decoupling ingestion from processing, horizontal scaling of processing workers, and back-pressure handling when processing falls behind ingestion are infrastructure requirements that enterprise-scale webhook systems cannot operate without.

The infrastructure covers a high-throughput ingestion endpoint, Kafka or SQS message queue backend, horizontally scalable processing workers, dead letter queue management, event sourcing storage, monitoring with throughput and latency dashboards, and auto-scaling configuration.