19 Python Flet Serverless Deploy to Fly.io

Deploy Python Flet app to Fly.io using uvicorn. This technique does not use pyodide and instead runs the Python code on the server to communicate with the frontend Flutter app. This is a full stack application

Code with Dockerfile, fly.toml and main.py

https://github.com/codetricity/python...

In this video, we deploy a Python application to Fly.io using a lightweight, production-style setup.

This is a hands-on walkthrough that shows how a local Python project becomes a live, internet-accessible service. The emphasis is on understanding the deployment workflow, not just copying commands.

What you’ll learn in this video:

Creating a Fly.io account and understanding usage-based pricing

Installing and verifying the Fly CLI (flyctl)

Creating a .dockerignore file to keep images clean

Writing a minimal Dockerfile for a Python app

Generating requirements.txt from a virtual environment

Exposing the correct port for a Python async server

Creating and configuring fly.toml

Using low-cost settings (auto-stop, shared CPU, minimal memory)

Logging in and deploying from the command line

Troubleshooting common directory and config mistakes

Verifying a live deployment in the browser

The project is configured to be as inexpensive as possible, shutting down when idle and restarting on demand. This makes it suitable for students, personal projects, and portfolio demos.

The repository is public and includes:

A working Dockerfile

A .dockerignore

A sample fly.toml

The full Python application code

You can clone the repo, change the app name and settings, swap in your own assets, and redeploy it as your own project.

This video is part of a beginner-friendly series focused on real deployment skills—the kind you’ll need for coursework, internships, and portfolio projects.