Posted by Lisa Brown

Apache Airflow provides the ability to author complex workflows as directed acyclic graphs (DAGs) of tasks. The Apache Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. These powerful primitives give you fine-grained control over how your DAG runs. You can use them in isolation or combine them into sophisticated orchestration logic. With Apache Airflow Services, you no longer have to worry about keeping track of individual worker status or manually rerunning failed jobs when things go wrong; it’s all handled for you by our robust task supervision system! This means that even if one part of your workflow fails due to a bug in some other part, we will automatically retry that particular task until it succeeds without any manual intervention from you! To Know More: https://www.zehntech.com/