FastAPI/Poetry Docker Deployment on Digital Ocean App Platform/Droplet: A Step-by-Step Guide

Are you tired of navigating the complex world of deploying your FastAPI application on Digital Ocean? Look no further! In this article, we’ll take you on a journey to deploy your FastAPI application using Poetry and Docker on Digital Ocean App Platform and Droplet. Buckle up, and let’s dive in!

Getting Started

Before we begin, make sure you have the following:

• A Digital Ocean account (sign up for a free trial if you don’t have one)
• Docker installed on your local machine
• Familiarity with FastAPI and Poetry (don’t worry, we’ll cover the basics)
• A code editor or IDE of your choice (we’ll use Visual Studio Code in this example)

What is FastAPI?

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It’s designed to be fast, simple, and easy to use.

What is Poetry?

Poetry is a Python package manager that makes it easy to manage dependencies for your project. It’s similar to pip, but with a more intuitive and user-friendly interface.

Step 1: Create a New FastAPI Project

Open your terminal and create a new directory for your project:

mkdir fastapi-poetry-docker
cd fastapi-poetry-docker

Next, create a new FastAPI project using the following command:

fastapi create app

This will create a basic FastAPI project structure with a `main.py` file.

Step 2: Initialize Poetry

In your project directory, run the following command to initialize Poetry:

poetry init

Follow the prompts to set up your project with Poetry. For this example, we’ll use the following settings:

project name: fastapi-poetry-docker
version: 1.0.0
description: My FastAPI project
authors: [Your Name]
license: MIT

Step 3: Install dependencies with Poetry

In your `pyproject.toml` file, add the following dependencies:

[tool.poetry]
name = "fastapi-poetry-docker"
version = "1.0.0"

[tool.poetry.dependencies]
fastapi = "^0.65.0"
uvicorn = "^0.13.4"

Run the following command to install the dependencies:

poetry install

Step 4: Create a Dockerfile

Create a new file named `Dockerfile` in your project directory:

FROM python:3.9-slim

WORKDIR /app

COPY poetry.lock ./
COPY pyproject.toml ./

RUN poetry install

COPY . .

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

This Dockerfile uses the official Python 3.9 image, sets up the project directory, installs the dependencies using Poetry, and copies the application code. Finally, it sets the command to run the FastAPI application using Uvicorn.

Step 5: Build the Docker Image

Run the following command to build the Docker image:

docker build -t fastapi-poetry-docker .

This will create a Docker image with the name `fastapi-poetry-docker`.

Step 6: Push the Image to Docker Hub

Create a Docker Hub account if you don’t have one, and log in to your account using the following command:

docker login

Tag the Docker image with your Docker Hub username and push it to Docker Hub:

docker tag fastapi-poetry-docker:latest /fastapi-poetry-docker:latest
docker push /fastapi-poetry-docker:latest

Step 7: Create a Digital Ocean Droplet

Log in to your Digital Ocean account and create a new Droplet:

Image	Distribution	Plan
Docker	Ubuntu 20.04	Basic ($5/month)

Choose a datacenter region and create the Droplet. Wait for the Droplet to be created and note the IP address.

Step 8: Deploy to Digital Ocean App Platform

Log in to your Digital Ocean account and navigate to the App Platform dashboard:

Create a new app and choose the “Docker” option:

Image	Environment
/fastapi-poetry-docker:latest	Production

Configure the app settings as desired, and create the app. Wait for the app to deploy successfully.

Step 9: Configure the App Platform Environment Variables

Navigate to the App Platform environment variables settings and add the following variables:

Variable	Value
FASTAPI_HOST	0.0.0.0
FASTAPI_PORT	8000

Save the changes and redeploy the app.

Conclusion

Congratulations! You’ve successfully deployed your FastAPI application using Poetry and Docker on Digital Ocean App Platform and Droplet. You can now access your app using the App Platform URL or the Droplet IP address.

This guide has shown you how to create a new FastAPI project, initialize Poetry, install dependencies, create a Dockerfile, build and push the Docker image, create a Digital Ocean Droplet, and deploy to the App Platform. With this knowledge, you’re ready to take your FastAPI application to the next level!

Bonus: Tips and Tricks

Here are some additional tips and tricks to help you with your FastAPI/Poetry/Docker deployment:

• Use a `.dockerignore` file to exclude unnecessary files from the Docker build process.
• Use environment variables to configure your FastAPI application.
• Implement logging and monitoring using tools like Docker Logs, Prometheus, and Grafana.
• Use a CI/CD pipeline to automate the deployment process.
• Experiment with different Docker image sizes and optimization techniques.

We hope you found this article helpful in deploying your FastAPI application using Poetry and Docker on Digital Ocean App Platform and Droplet. Happy deploying!

Frequently Asked Question

Get ready to dive into the world of FastAPI, Poetry, Docker, and Digital Ocean, where deploying your app is just a few clicks away!