Event-driven pipeline orchestration with Amazon MWAA and Airflow 3.0
Big Data Blog
This article explains how to implement event-driven cross-account orchestration between Amazon MWAA environments using Apache Airflow 3.0, Asset Watchers, and Amazon SQS.
- Asset Watchers replace polling-based sensors with event-driven triggers, reducing latency from minutes to seconds
- Producer DAGs publish asset events to Amazon SQS when datasets complete; consumer DAGs trigger automatically on message arrival
- Decoupled architecture allows independent scaling and updates across accounts without direct environment dependencies
- Amazon SQS provides durable message delivery even during temporary consumer environment unavailability
- Includes agent skills for AI coding assistants to auto-generate deployment-ready DAGs with best practices
- Best practices cover cross-account IAM policies, triggerer health monitoring, VPC networking, and dependency management
Event-driven asset-based scheduling eliminates polling overhead while enabling responsive, decoupled data pipelines spanning multiple AWS accounts.
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