Managed Apache Airflow Hosting
Workflow AutomationProgrammatically author and schedule workflows
About Apache Airflow
Apache Airflow is a platform to programmatically author, schedule, and monitor workflows. Created at Airbnb, it has become the industry standard for data pipeline orchestration used by thousands of organizations worldwide.
Airflow uses directed acyclic graphs (DAGs) to manage workflow orchestration. Tasks and dependencies are defined in Python, providing a flexible and extensible framework for building ETL pipelines, ML workflows, and general-purpose batch processing jobs.
Key Features
- Python-based DAG definition for workflows
- Rich web UI for monitoring and management
- Extensible with custom operators and hooks
- Built-in scheduling and dependency management
- Integration with major cloud services and databases
- Scalable architecture with Celery or Kubernetes executors
How ManageStacks Helps
ManageStacks provisions Airflow with pre-configured Celery workers, PostgreSQL metadata database, Redis message broker, and Grafana monitoring. We handle scaling, database maintenance, and version upgrades so your data team can focus on building pipelines.
