How do I deploy Apache Airflow on Railway?

You can deploy Apache Airflow on Railway by clicking the "Deploy Now" button on this page. Railway will automatically set up all the necessary services and configurations for you.

What are the system requirements?

Railway handles all the infrastructure requirements. You only need a web browser to deploy and manage your application.

Is this template free to use?

Yes, this template is free to use within your existing Railway account.

Can I customize this template?

Yes, you can fully customize this template. After deployment, you will have full control of what you've deployed in your Railway project.

How do I get support for this template?

You can get support through our community forum: apache-airflow-ce4a3f7b, or click "Get template help" for this template for more assistance.

Deploy and Host Apache Airflow on Railway

Apache Airflow Icon

Apache Airflow is an open-source platform for authoring, scheduling, and monitoring workflows as code. You define pipelines in Python (DAGs), and Airflow runs them on a schedule or on demand, with a web UI for logs, retries, and task dependencies. It is widely used for data engineering, ETL, and orchestrating jobs across databases, APIs, and cloud services.

About Hosting Apache Airflow

Hosting Airflow means running the webserver, scheduler, and—depending on your setup—workers and a metadata database. You configure environment variables for secrets and database connections, attach persistent storage for DAGs and state, and expose the web UI on a port your platform can route to. Health checks help the host restart unhealthy processes automatically. Production deployments often split components and use PostgreSQL with Celery or Kubernetes executors; this template uses standalone mode for a simpler single-process layout suited to evaluation and lighter workloads. Railway runs the container, wires networking and volumes, and lets you scale or add services as your orchestration needs grow.

Common Use Cases

Data pipelines and ETL — Ingest, transform, and load data between warehouses, lakes, and operational systems on a schedule or event-driven triggers.
ML and analytics orchestration — Chain training, validation, batch scoring, and reporting steps with clear dependencies and observability.
Ops and integration workflows — Run backups, syncs, API-driven jobs, and cross-system automation with retries and alerting via the Airflow UI.

Dependencies for Apache Airflow Hosting

Container runtime — Airflow is deployed as a container (this template uses the official apache/airflow image).
Persistent storage — A volume for DAGs and local metadata paths so restarts and redeploys do not wipe your workflows and data.

Deployment Dependencies

Apache Airflow documentation — Concepts, configuration, and executors.
Running Airflow in Docker — Official Docker-oriented guidance (useful context even when deploying to Railway).
Railway volumes — Attaching persistent disks to your service.
Railway environment variables — Managing secrets and configuration.

Implementation Details

Files in this template

Dockerfile — Uses the official apache/airflow image.
docker-entrypoint.sh — Starts Airflow in standalone mode on Railway $PORT.
railway.toml — Health check and restart policy.

Environment variables

AIRFLOW_UID=50000
AIRFLOW__CORE__LOAD_EXAMPLES=False
_AIRFLOW_WWW_USER_USERNAME=admin
_AIRFLOW_WWW_USER_PASSWORD=replace-with-strong-password

Persistent storage

Attach a Railway volume and mount it to:

/opt/airflow/data

Notes

Standalone mode is suited to evaluation and light workloads.
For production at scale, split webserver, scheduler, and workers, and use PostgreSQL with a Celery or Kubernetes executor.

Why Deploy Apache Airflow on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Apache Airflow on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.