Automic Apache Airflow Agent
Run and monitor Airflow DAGs
Apache Airflow is an open-source platform to author, schedule, and monitor workflows (DAGs) using the Python programming
language.
The Automic Apache Airflow agent enables running and monitoring of Airflow DAGs, using
Automic Automation as the orchestrator of orchestrators to provide visibiliy and control for any workload across the enterprise.
Features
- Schedule execution of Apache Airflow DAGs
- Monitor to completion Airflow DAGs
- Retrieve DAG logs for problem diagnosis
- Restart DAG processing
- Alert on failure of DAG processing
- Create dependencies between DAG executions
- Incorporate DAG processing in existing enterprise automation workflows including dependency enforcement
Documentation
See online documentation for further information.
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Find platform support and compatibility information for Integration.Airflow in our compatibility matrix.
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