Railway

Deploy Windmill

Quick deployment of Windmill on Railway

Deploy Windmill

Deploy and Host Windmill on Railway

Windmill is an open-source platform for building internal tools, automating workflows, and orchestrating scripts. Execute Python, TypeScript, and SQL with real code capabilities. Create APIs, UIs, and scheduled jobs in minutes without managing infrastructure.

About Hosting Windmill

Deploying Windmill on Railway provides a seamless experience for teams looking to automate their operations. Railway handles the infrastructure, scaling, and database management, so you focus on building automations. Windmill includes a visual workflow builder, script editor, and integrated PostgreSQL database. Deploy in one click with automatic SSL, environment variables, and persistent storage. Perfect for DevOps teams, startups, and enterprises managing complex automation pipelines at scale.

Common Use Cases

  • Automate data processing and ETL pipelines with scheduled workflows
  • Build internal tools and dashboards without traditional backend development
  • Create API endpoints from scripts and database queries in minutes
  • Orchestrate multi-step workflows across different services and APIs
  • Schedule recurring jobs for monitoring, reporting, and data synchronization

Why Deploy

Railway makes deploying Windmill effortless. With automatic SSL certificates, environment management, and PostgreSQL integration, you can focus on building automations instead of managing servers. Railway's scalable infrastructure ensures your workflows run reliably, whether you're prototyping or running production workloads. One-click deployment means you're up and running in minutes, not hours.

Dependencies for

Windmill requires the following dependencies to run:

Deployment Dependencies

  • PostgreSQL – For storing workflows, scripts, and execution history
  • Node.js – Runtime for the Windmill backend services
  • Docker – Container runtime (Railway handles this automatically)
  • Memory – Minimum 512MB RAM (1GB+ recommended for production)
  • Disk Storage – Minimum 1GB (more for large workflows and execution logs)

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