🚀 Apache Airflow 3.0 is now available

This release brings powerful improvements that can reshape how teams orchestrate data workflows at scale.

 Here are some key highlights:

✅ Redesigned User Interface

 Now React-based, offering smoother navigation and improved visibility into task execution and asset tracking.

✅ DAG Version Awareness

 Each DAG run is tied to the version active at execution time, enabling more reliable audits and reproducibility.

✅ Backfill Execution Enhancements

 Now, it is handled directly by the scheduler, reprocessing historical jobs easier and more scalable via API or UI.

✅ Event-Driven Triggers

 Native support for external events (e.g. AWS SQS) introduces reactive orchestration possibilities.

✅ Task Execution Interface

 Separates orchestration from execution — enabling hybrid, multi-cloud and polyglot (Python-first) environments.

✅ Security Enhancements

 Improved task isolation and infrastructure flexibility support stricter compliance and shared environments.

⚠️ Migration Considerations

 This is a significant upgrade. Expect to validate DAGs, plugins, and adapt custom code to fit new interfaces.

Airflow 3.0 marks a step forward for teams investing in robust, scalable, event-driven orchestration.

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