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.
Automation from Broadcom allows you to easily integrate directed acyclic graphs (DAGs) with your existing enterprise workload automation solution.
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.
You are instantly inheriting the advanced capabilities of your enterprise solution to deliver your digital transformation quicker and more successfully.
By extending your existing enterprise automation to Apache Airflow you maintain end-to-end visibility, regain centralized command and control, alerting, SLA management, reporting and auditing.


  • 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


See online documentation for further information.
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Find platform support and compatibility information for Integration.Airflow in our compatibility matrix.
Please log in using your Broadcom account to download this plugin.
Products Automic Automation
Versions 21.0, 24.*
Last update 2023-08-31 18:26:19.0
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