Jahanzaib
Production

Event-Driven Architecture

System design where components react to events (webhooks, queue messages, database changes) instead of polling, enabling real-time and decoupled workflows.

Last updated: April 26, 2026

Definition

Event-driven architecture (EDA) inverts the polling pattern. Instead of services asking each other for updates on a schedule, they emit events when things change and other services react. The classic patterns are: pub/sub (one publisher, many subscribers), event streaming (Kafka-style ordered logs), and webhooks (HTTP callback per event). For AI agents, EDA is the right design when an agent should respond to real-world signals (a customer creates an order, a PR is opened, a payment fails) rather than running on a schedule. The trade-off: better latency and decoupling, but harder debugging because the trace lives across many services.

When To Use

Pick EDA when latency to event matters (under 1 minute), when many services need to react to the same signal, or when polling would impose load on the source system. Use scheduled batch for everything else.

Sources

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Building with Event-Driven Architecture?

I've shipped this pattern in real production systems. If you want a second pair of eyes on your architecture, that's what I do.