Dockerized FastAPI Application

This repository contains a basic FastAPI application that has been containerized using Docker. It demonstrates the fundamental principles of Dockerizing Python applications and ensures reproducibility, consistency, and ease of deployment.

Key Concepts Learned

• Containerization with Docker: Utilizing Docker to create a consistent and isolated environment for the FastAPI application, ensuring that it runs the same way on any Docker-supported platform.
• Dockerfile Creation: Crafting a Dockerfile to define the steps for creating a Docker image, including setting up the environment, installing dependencies, and specifying how to run the application.
• Using Pipenv for Dependency Management: Implementing Pipenv to manage the application's Python dependencies, providing a clear separation between production and development requirements.
• Volume Mounting in Docker: Leveraging Docker volumes to synchronize files (like Pipfile.lock) between the host and the container for seamless development and deployment.
• Service Orchestration with Docker Compose: Simplifying the deployment process by using Docker Compose to define and run multi-container Docker applications.

Quick Start Guide

1. Build and Run with Docker Compose:

   docker-compose up --build

This command builds the Docker image and starts the FastAPI service.

2. Access the Application:

The FastAPI application will be available at http://localhost:8080.

Project Structure

• main.py: The main FastAPI application file.
• Pipfile and Pipfile.lock: Pipenv files for managing Python dependencies.
• Dockerfile: Dockerfile to build the Docker image.
• docker-compose.yml: Docker Compose file to define and run the Dockerized application.

Dependencies

• FastAPI
• Uvicorn
• Docker
• Docker Compose
• Pipenv