Application
Airflow
Control-M integration with Apache Airflow enables users to incorporate Airflow DAG execution into Control-M workflows. This approach provides an end-to-end view of business application workflows that span traditional applications like logistics and financial close and applications using a modern data stack using a domain-specific orchestration tool like Airflow. Airflow users can benefit from using a tool they are familiar and comfortable with, while teams responsible for enterprise production flows get a comprehensive end-to-end process lineage of all business services they manage.
All Control-M workflow management capabilities are provided for Airflow jobs, including planning, monitoring, forecasting, workload archiving, auditing, etc.
Airflow
Control-M integration with Apache Airflow enables users to incorporate Airflow DAG execution into Control-M workflows. This approach provides an end-to-end view of business application workflows that span traditional applications like logistics and financial close and applications using a modern data stack using a domain-specific orchestration tool like Airflow. Airflow users can benefit from using a tool they are familiar and comfortable with, while teams responsible for enterprise production flows get a comprehensive end-to-end process lineage of all business services they manage.
All Control-M workflow management capabilities are provided for Airflow jobs, including planning, monitoring, forecasting, workload archiving, auditing, etc.
Key Features
- Define the Airflow environment in a connection profile
- Define Airflow jobs within any Control-M workflow
- Monitor workflows with Airflow jobs as you would any other Control-M workflow
Control-M integration for Airflow is available for these product versions:
- Control-M 21 and later
- BMC Helix Control-M 20.08 and later
Airflow demo video
