Скачать с ютуб How to Deploy a Flask App on Railway Using a Docker Image [FREE] (2025) в хорошем качестве

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. --- 🚀 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 --- 🧰 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 --- ✅ 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 🎉 --- 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. --- 👉 Like the video, subscribe for more tutorials, and comment below if you run into any issues or want more deployment tips! --- 📌 Hashtags: #Flask #Docker #RailwayApp #DeployFlask #Python #WebDevelopment #Dockerfile #FullStackDev #FlaskDeployment #FreeHosting #PythonFlask #DeployWithDocker #FlaskOnRailway #BackendDev