5 Patterns for Building Resilient Event-Driven Integrations

Point-to-point integrations are easy to build and easy to break. You wire up an API call from one system to another, it works in testing, and then a 30-second downstream outage in production causes a cascade of failures, lost state, and a manual cleanup effort that takes longer than the outage itself. Event-driven integration patterns address this directly. They decouple the systems involved so that no single failure propagates through the entire integration chain. The tradeoff is upfront design work, but the operational stability that results is not comparable to the alternative. Here are five patterns that appear in most well-built event-driven integrations, with examples of when and why each one matters. 1. Queue-Based Event Processing What it is: Instead of processing webhook events or API callbacks synchronously in the request handler, your endpoint stores each incoming event in a message queue or database table and returns an acknowledgment immediately. A separate worker process