Deploy and Host Anatomy on Railway

Anatomy Atelier is an interactive 3D human anatomy explorer designed for medical students, educators, and curious learners. Built using Three.js and Next.js/vinext, the platform provides a detailed, visual interface for examining human organs and anatomical structures with real-time interactive models and AI-assisted educational features.

About Hosting Anatomy

Deploying Anatomy Atelier on Railway provisions a full-stack web application powered by Node.js and Next.js/vinext. Railway handles the build process automatically from the repository using the specified runtime configurations, providing instant HTTPS endpoints and automated CI/CD deployments directly from source control.

The hosting architecture utilizes Cloudflare D1 via Drizzle ORM for serverless database persistence, allowing structured storage for user interactions, saved records, and customized learning views. Public networking is managed via Railway's HTTP proxy, routing external traffic efficiently to the application's target web port. Scaling is handled seamlessly within Railway, enabling easy vertical or horizontal resource adjustments to maintain smooth 3D rendering performance across client sessions without manual infrastructure management.

Common Use Cases

Medical and healthcare education platforms providing interactive 3D anatomical reference tools for students and instructors.
Interactive science communication and educational dashboards exploring human body systems.
Custom user dashboards for saving study progress, anatomical notes, and personalized organ views.

Dependencies for Anatomy Atelier Hosting

Dependency	Type	Purpose
Cloudflare D1 / SQLite	Database	Stores application data, user preferences, and schema migrations via Drizzle ORM.
OpenAI API	External API	Enables interactive AI response features and query assistance within the application.

Deployment Dependencies

Resource	Link
GitHub Repository	bilalnawaz072/anatomy
Live Application Demo	anatomy-livid.vercel.app

Implementation Details

Docker

Railway automatically builds and runs the application directly from the repository source code using Node.js without requiring a custom Dockerfile.

Public Networking

Setting	Value
Proxy Type	HTTP Proxy
Target Port	8080

Environment Variables

Variable	Required	Description
`NODE_ENV`	Yes	Sets the runtime environment (e.g., `production`).
`OPENAI_API_KEY`	Optional	API key for OpenAI integrations. Obtainable from the OpenAI Platform dashboard.
`oai-authenticated-user-email`	Optional	Identity header injected when using Sign in with ChatGPT auth flows.

Example Raw Editor format:

NODE_ENV=production
OPENAI_API_KEY=your_openai_api_key_here

Persistent Storage

Persistent storage for standard deployments is managed through Cloudflare D1 database bindings as defined in the project architecture. Railway Volumes are optional unless storing local file assets outside of external object storage.

Database

This application utilizes Drizzle ORM configured for Cloudflare D1 or SQLite environments (db/schema.ts and drizzle.config.ts). When deploying, configure your database connection parameters or local SQLite file paths within the environment settings to support Drizzle migration execution via npm run db:generate.

Build & Start

No custom build or start commands are required. Railway automatically detects the project dependencies and uses standard package scripts (npm run build and npm run dev / npm start).

Accessing the Application

Open your project in the Railway Dashboard.
Select the deployed service and go to Settings > Networking.
Click Generate Domain to create a public URL.
Access the application using the generated Railway HTTPS domain.

Why Deploy Anatomy Atelier on Railway?

Railway is the best place to deploy web applications, offering continuous deployment from GitHub, automatic HTTPS, built-in metrics, instant database provisioning, and seamless scaling. With Railway, you can go from code to production in minutes without managing servers or complex configuration.