Technical Sharing
AI Agent Event-Driven Architecture: Triggers, Event Bus, and the Observability Pipeline
The hard part of making an AI agent act on its own is not the model but the machinery behind it: what wakes it, how events flow, and how it is watched and corrected. This article takes a purely engineering view — using real frameworks and data from Kafka, Debezium, OpenTelemetry, and Stripe — to break down triggers, the event bus, asynchrony, idempotency and retries, and the observability pipeline, showing how to turn autonomous AI into a system that is triggerable, observable, and recoverable.
