Templates/Webhook Ingestion Pipeline

Webhook Ingestion Pipeline

Event Processing

Multi-source webhook receiver with validation, queuing, dead letter handling, and delivery

9 nodes8 connections

Use Case

Webhook handlers, event ingestion, third-party integrations

Stack Breakdown

API GatewayRate LimiterKafkaWorkersDLQSlack

Architecture Layers

1Ingestion

2Rate Limiting

3Event Bus

4Processing

5Error Isolation

6Notifications

Components by Category

external

GitHubStripeSlack

backend

API Gateway

infra

Rate Limiter

async

KafkaQueue WorkerDead Letter Queue

database

PostgreSQL

Why This Topology Works

Rate limiter prevents upstream abuse. Kafka provides durable event storage with exactly-once processing semantics. DLQ isolates failures without blocking the main pipeline.

Scaling Notes

Kafka partitions across webhook sources. Consumer groups auto-balance processing. Rate limiter uses sliding window algorithm for fairness.

Observability

Webhook delivery success rates tracked per source. DLQ depth triggers escalation alerts. End-to-end latency histograms.