When the DAG structure is similar from one run to the next, it clarifies the unit of work and continuity.
Can I use the Apache Airflow logo in my presentation?Īirflow works best with workflows that are mostly static and slowly changing. Support for Python and Kubernetes versions. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. Rich command line utilities make performing complex surgeries on DAGs a snap. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. 
Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows.
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