Automation
Self-host Apache Airflow on a VPS
Programmatic workflow scheduling and orchestration.
Define data pipelines as code with scheduling, retries and rich monitoring.
Why self-host Apache Airflow?
Airflow is the standard for data and batch orchestration, and self-hosting keeps your pipelines and data in-house.
How to install Apache Airflow
- 1
Provision a VPS
Choose a plan with room for your data as well as the app.
- 2
Install the stack
Install Python + scheduler + Postgres/Redis.
- 3
Deploy the application
Follow the project’s official install guide for your distribution.
- 4
Enable HTTPS
Serve it on your own domain behind a reverse proxy with a certificate.
- 5
Back it up
Schedule a database dump plus a copy of any uploaded files to an off-box location.
Practical tips
- Give Apache Airflow its own database user with rights only on its own schema.
- Reverse-proxy Apache Airflow and terminate TLS at the proxy so certificates are managed in one place.
- Take a VPS snapshot before major upgrades so you can roll back cleanly.
- Keep Apache Airflow patched — most self-hosting incidents are unpatched software.
Frequently asked questions
- How much RAM does Apache Airflow need?
- Plan on 4 GB for typical use; add headroom if you expect many concurrent users.
- What stack does Apache Airflow run on?
- Python + scheduler + Postgres/Redis.
- Can I run other things on the same VPS?
- Yes — size the plan so Apache Airflow plus your other workloads fit in RAM with room to spare.
Looking for something else? Popular alternatives include Windmill, Dagster, Prefect — browse all app guides.