Airflow Hosting Live In 5 Minutes

Author, schedule and monitor Python data pipelines, with HTTPS, a generated admin login and persistent DAGs and logs handled for you. The full Airflow stack — API server, scheduler, DAG processor, triggerer and PostgreSQL — is wired together in one install.

  • No terminal
  • No technical skills needed
  • No lock-in, cancel anytime

From Sign-Up to a Live Airflow Install In Just 3 Easy Steps

Self-hosting Airflow normally means assembling five services, a metadata database, a Fernet key and HTTPS before a single DAG can run. This is the same result without assembling any of it.

  1. Step 01

    Sign Up

    Create your xCloud account, pick Airflow from the OneClick catalog, and choose a domain. xCloud generates the admin password and secret keys.

  2. Step 02

    We Deploy It For You

    One click. We bring up the API server, scheduler, DAG processor, triggerer and a PostgreSQL metadata database, and publish the web UI and REST API over HTTPS. First start takes 2 to 5 minutes.

  3. Step 03

    Sign In And Load Your First DAG

    Open the HTTPS Airflow URL, sign in as admin with the generated password, then copy your first DAG file into the dags volume — new files can take up to 5 minutes to appear.

Everything Airflow Does, On Your Own Server

Airflow runs in full here — the same pipeline authoring, scheduling and monitoring as any hosted orchestration platform, on infrastructure you control.

  • Author Pipelines As Python DAGs

    Write your data pipelines as Python DAGs and schedule them with the LocalExecutor.

  • Web UI And REST API

    Trigger runs and read task logs from the Airflow web UI or script the same things through the REST API.

  • The Full Stack, One Install

    API server, scheduler, DAG processor, triggerer and a PostgreSQL metadata database are all wired together automatically.

  • Load DAGs Your Way

    Copy files into the dags volume directly, or configure a Git DAG bundle in the environment editor.

  • Generated Admin Login, No Public Sign-Up

    A generated admin password and secret keys are created for you; unauthenticated API calls and wrong passwords are rejected.

  • DAGs And History Survive A Restart

    DAGs, run history, logs, plugins and the metadata database all survive an xCloud Restart.

Everything You Need To Run Your Pipelines 24/7

Managed hosting for Airflow, so the parts that keep it online are not your problem.

  • Airflow 3.3.2 deployed instantly
  • Scheduler, DAG processor and triggerer included
  • PostgreSQL metadata database included
  • Generated admin login
  • Free SSL certificate
  • Server backups and snapshots
  • Server security updates included
  • 30+ server locations
  • Unused balance refunded

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for Airflow hosting. Pick the one that fits, and resize any time.

Cloud VPS 6 GB

Below the template's documented floor — not recommended.

$24.99per month

  • 6 GB RAM
  • 4 vCPU cores
  • 100 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Cloud VPS 16 GB

Most popular

Headroom above Airflow's documented 4 GB minimum.

$59.99per month

  • 16 GB RAM
  • 6 vCPU cores
  • 200 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Cloud VPS 24 GB

Airflow alongside heavier, longer-running DAGs.

$84.99per month

  • 24 GB RAM
  • 8 vCPU cores
  • 300 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. Airflow itself is licensed under Apache License 2.0.

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy Airflow on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

Free

Start your journey without cost.

$0forever

  • 1 server
  • 10 sites
Start free

Starter

Most popular

Your rate with 2–5 servers connected.

$5per server / month

  • 2–5 servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Professional

The same platform, discounted at 6–10 servers.

$4per server / month

  • 6–10 servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Agency

The same platform, discounted at 11+ servers.

$3per server / month

  • 11+ servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Ready To Own Your Data Pipelines?

Airflow on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Stay in control.

Hear what people are saying about us

See why agencies, developers, startups, and growing businesses choose xCloud to power their projects.

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So far my experience has been smooth like silk. I didn't imagine that configuring and managing a VPS would be so easy. As of today, I have deployed 8 sites. The support is good, and they treat users with respect, even if they ask stupid questions (myself included). For the future, I hope for greater flexibility in scheduled backups and more comprehensive and consistent documentation. I'm sure that within a few months, xCloud will become the leader in its segment. This community is amazing, and the Staff here is super helpful.
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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

What is Airflow?

Apache Airflow is a workflow orchestration platform where you write data pipelines as Python DAGs, schedule them and watch runs from a web UI or REST API. This template deploys version 3.3.2.

How do I sign in?

Use the admin username and the generated admin password from the installation credentials.

How do I add DAGs?

Copy Python files into the dags volume or configure a Git DAG bundle in the environment editor.

Why doesn't my new DAG show up immediately?

The DAG processor scans for new files every 300 seconds by default; lower AIRFLOW__DAG_PROCESSOR__REFRESH_INTERVAL in the environment and redeploy for faster pickup.

What runs alongside the web UI?

A scheduler, DAG processor, triggerer and a PostgreSQL metadata database, all using the LocalExecutor.

How much trust should I give DAG files and admin access?

A lot. DAG files run as arbitrary Python inside the Airflow containers, so treat admin access and write access to the dags volume like shell access to the server.

Can I rotate the Fernet key?

Not safely once connections are stored — the Fernet key must stay stable, or existing stored connections stop decrypting. Back it up with the rest of the environment.

What should I back up?

The postgres_data, airflow_dags, airflow_logs and airflow_plugins volumes, plus the stable values in the environment, notably the Fernet key.

Does xCloud automatically back up or update Airflow?

No. The template pins Airflow 3.3.2 by immutable digest; a catalog re-sync affects new installations only. To upgrade, bump the image tag and digest together after reading upstream release notes.

What are the server requirements?

The template manifest asks for 2 CPU cores, 4096 MB of RAM and 10 GB of disk as a floor, following upstream's documented Docker minimum; QA measured about 1.3 GB peak with one small DAG. This page sells the 16 GB tier, comfortable headroom above that floor.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.

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