Mage AI on Ubuntu 24.04 LTS by cloudimg

## Mage AI on Ubuntu 24.04 LTS by cloudimg

Mage AI is an open-source data pipeline tool for transforming and integrating data - a modern, developer-friendly alternative to Apache Airflow. Instead of hand-writing DAGs, you build pipelines from composable blocks (data loaders, transformers and exporters) in a visual, notebook-style editor with live output previews, then schedule them with built-in triggers. The cloudimg image installs Mage AI 0.9.79 in a Python virtualenv, runs it behind an nginx reverse proxy on port 80 with HTTP Basic auth, stores the project on a dedicated Azure data disk, and generates a unique admin password on the first boot of every VM. Backed by 24/7 expert support.

Visual Pipelines

Build pipelines from composable blocks - data loaders, transformers and exporters - in a notebook-style editor with live output previews, then schedule them with built-in triggers. A ready example_etl pipeline ships to get you started.

Dedicated Data Disk

The Mage project and all pipeline metadata live on a dedicated, independently resizable Azure data disk mounted at /var/lib/mage, separate from the OS disk and re-provisioned with every VM.

Secured By nginx

Mage has no built-in authentication by default, so nginx fronts the UI on port 80 with HTTP Basic auth and a unique per-VM password generated on first boot, written to a root-only file. WebSocket pass-through keeps the live editor and run output streaming.

Why Choose cloudimg?

* 24/7 Expert Support with guaranteed 24 hour response. Contact support@cloudimg.co.uk

* Production Ready from Launch Pre configured, security patched, and validated before publication

* Azure Native Integration Built with Azure Linux Agent, cloud init, and Gen2 Hyper V

What is Included

* Mage AI 0.9.79 in a Python virtualenv at /opt/mage/venv, run by a dedicated mage system user

* The visual pipeline editor and scheduler UI, fronted by nginx on port 80

* nginx HTTP Basic auth with a unique per-VM password generated on first boot in a root-only file

* WebSocket pass-through for the live editor and pipeline run output

* A dedicated Azure data disk at /var/lib/mage holding the Mage project and pipeline metadata

* mage.service and nginx.service as systemd units, enabled and active

Use Cases

Data transformation and ETL/ELT pipelines, scheduled batch jobs, data integration, and a self-hosted, developer-friendly alternative to Apache Airflow.

Mage serves plain HTTP on port 80 - front it with TLS and your own domain before production.

Visit www.cloudimg.co.uk/guides/mage-ai-on-ubuntu-24-04-azure for the full user guide.

Mage is a trademark of Mage Technologies, Inc. This image is produced by cloudimg and is not affiliated with or endorsed by the Mage project. All trademarks are the property of their respective holders.