Скачать или смотреть How to Deploy a Flask App on Railway Using a Docker Image [FREE] (2025)

In this detailed tutorial, you'll learn *how to deploy a Flask web application* to *Railway* using a **custom Docker image**. Whether you're creating an API, a small web app, or an experimental project, Railway offers a seamless way to host applications without managing your own servers — and using Docker gives you full control over your environment.

*Railway* is a powerful, developer-centric platform that simplifies deployment by offering GitHub integration, environment management, and container support — all from a beautiful interface. And when paired with **Docker**, you can build, test, and deploy your Flask app exactly as you want.

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🚀 What You'll Learn:

How to containerize your *Flask app* with a `Dockerfile`
How to build and test your Docker image locally
How to connect your *GitHub repo* to *Railway*
How to configure your *Docker service* on Railway
Setting up *environment variables* for Flask
Running your app and accessing it via Railway's generated URL
(Bonus) Tips for optimizing your Docker image for smaller size and faster deploys

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🧰 Requirements:

A basic *Flask application*
*Docker* installed on your local machine
A *GitHub account* with your project pushed
A *Railway account* (free tier available)
Basic understanding of Docker and Flask

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✅ Steps Covered:

1. Create a `Dockerfile` for your Flask app
2. (Optional) Add a `.dockerignore` file to reduce image size
3. Test your app locally using `docker build` and `docker run`
4. Push your project to *GitHub*
5. Go to [https://railway.app](https://railway.app), log in, and create a new project
6. Link your GitHub repo
7. Choose "Deploy from Dockerfile" option
8. Set up environment variables like `FLASK_APP`, `FLASK_ENV`, `PORT`, etc.
9. Let Railway build and deploy your image
10. Open your deployed Flask app from the generated Railway URL 🎉

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Whether you're deploying a **REST API**, a **web dashboard**, or a **machine learning Flask app**, this method is flexible, powerful, and doesn't require advanced DevOps knowledge.

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👉 Like the video, subscribe for more tutorials, and comment below if you run into any issues or want more deployment tips!

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📌 Hashtags:
#Flask #Docker #RailwayApp #DeployFlask #Python #WebDevelopment #Dockerfile #FullStackDev #FlaskDeployment #FreeHosting #PythonFlask #DeployWithDocker #FlaskOnRailway #BackendDev