Agentic deploys / Automation and workflows

Apache Airflow

Schedule and monitor your workflows on a machine you own.

One-liner deploy

curl -fsSL https://redu.cloud/i/apache-airflow.sh | sh

Architecture

£0.073/hr · delete any time

apache/airflowby Apache Software Foundation
Refapache-airflow@3.3.1AuthorApache Software Foundation
workflowsorchestrationdataautomationfull account requireddeployed by redu
Repository ↗Issues ↗

Or step by step

claude mcp add --transport http redu https://mcp.redu.cloud/mcp --client-id redu-mcp
curl -fsSL https://redu.cloud/i/apache-airflow.md -o redu.md
claude "Read redu.md and deploy Apache Airflow on redu."

About

  • Author workflows as Python, schedule them, and watch them run in a UI on your own EU infrastructure.
  • Four Airflow processes on one VM with LocalExecutor, which is Airflow's own default executor: no Redis, no Celery worker, no second machine.
  • Every DAG run, Connection and Variable lives in a managed Postgres on its own private VM.
  • Deployed with the FAB auth manager and an admin account created from environment variables, because Airflow's default auth manager prints its generated password into the logs.

Docs and links

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This page deploys Apache Airflow into your own redu account , from apache/airflow at ref apache-airflow@3.3.1, unmodified. You run and operate the resulting instance; redu provides the infrastructure it runs on and never operates it for you.

Apache Airflow is published by its own authors under Apache-2.0, which governs your use of it. redu is not affiliated with, endorsed by, or sponsored by the Apache Airflow project. All trademarks belong to their respective owners.

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