Apache Airflow

Apache Airflow is an open-source workflow management platform used to develop, schedule and monitor batch-oriented processing. Automating execution from within Apache Airflow creates an additional island of automation for IT Operations to manage. This allows you to easily integrate directed acyclic graphs (Airflow DAGs) with your existing enterprise workload automation solution. 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.

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Apache Airflow

Benefits and Use Cases

Automate complex data workflows, pipelines, and task dependencies for greater control and visibility.
Manage and monitor Airflow jobs with enterprise workloads in a single automation platform.
View DAG execution status and task-level progress.
Access execution logs and trigger retries to reduce manual intervention and downtime.

Example Use Case: Data Pipeline Orchestration and Monitoring

Schedule, execute, and monitor critical data pipelines across cloud and on-prem environments.

Automic Features

Schedule execution of Apache Airflow DAGs
Monitor to completion Airflow DAGs
Retrieve DAG logs for problem diagnosis
Alert on failure of DAG processing
Create dependencies between DAG executions
Incorporate DAG processing in existing enterprise automation workflows including dependency enforcement