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.
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.
Please log in using your Broadcom account to download this plugin.