Flask / Flask Deployment and Production
Using Gunicorn and Nginx for Flask Deployment
In this tutorial, you'll learn how to use Gunicorn and Nginx to serve your Flask application. These tools can improve your application's capacity to handle traffic and provide add…
Section overview
5 resourcesCovers deploying Flask applications to production with security and performance optimizations.
Flask Deployment with Gunicorn and Nginx: A Detailed Tutorial
1. Introduction
- Goal of the tutorial: Deploy a Flask application using Gunicorn as a WSGI HTTP Server and Nginx as a reverse proxy server.
- What you will learn: This tutorial will walk you through the process of deploying a Flask application using Gunicorn and Nginx. After completing this tutorial, you will be able to deploy your own Flask application to a production environment.
- Prerequisites: Basic knowledge of Python, Flask, and Linux command line. A Flask application ready for deployment. Access to a Linux server.
2. Step-by-Step Guide
- Install Gunicorn and Nginx: Use the following commands to install Gunicorn and Nginx on your server:
sudo apt update sudo apt install python3-pip python3-dev nginx - Set up Flask Application: Navigate to the directory containing your Flask application and install your application's dependencies using pip. If your application is stored in a Git repository, you can clone it onto your server.
- Test Gunicorn's ability to serve the project: Use the following command:
gunicorn --bind 0.0.0.0:5000 wsgi:app - Configure Gunicorn to run as a system service: Create a systemd service file that starts Gunicorn on boot. This file will also configure Gunicorn to start 3 worker processes.
- Configure Nginx to proxy requests: Nginx will be set up to pass web traffic to the Gunicorn server using proxy_pass directive.
3. Code Examples
-
Example of a Gunicorn systemd service file (
/etc/systemd/system/myproject.service):
```
[Unit]
Description=Gunicorn instance to serve myproject
After=network.target[Service]
User=sammy
Group=www-data
WorkingDirectory=/home/sammy/myproject
Environment="PATH=/home/sammy/myproject/myprojectenv/bin"
ExecStart=/home/sammy/myproject/myprojectenv/bin/gunicorn --workers 3 --bind unix:myproject.sock -m 007 wsgi:app[Install]
WantedBy=multi-user.target
```
This file starts Gunicorn and directs it to serve your Flask application. -
Example of an Nginx server block (
/etc/nginx/sites-available/myproject):
```
server {
listen 80;
server_name your_domain www.your_domain;location / { include proxy_params; proxy_pass http://unix:/home/sammy/myproject/myproject.sock; }}
```
This file tells Nginx to listen on port 80 and to proxy requests to the Gunicorn server.
4. Summary
- Key points covered: We learnt how to deploy a Flask application using Gunicorn and Nginx. We installed the necessary software, set up the Flask application, tested the Gunicorn server, configured Gunicorn and Nginx, and finally started these services.
- Next Steps: You can now explore more advanced topics like SSL configuration, load balancing with Nginx, or even setting up a database for your Flask application.
- Additional resources:
- DigitalOcean Tutorial on deploying a Flask application
- Flask Mega-Tutorial
5. Practice Exercises
- Exercise 1: Deploy a simple Flask "Hello, World!" application using Gunicorn and Nginx.
- Exercise 2: Configure Gunicorn to start more worker processes. Monitor the system performance.
- Exercise 3: Set up SSL for your Flask application served by Nginx
- Solutions and explanations: Solutions can vary depending on the server environment and the Flask application. The main idea is to get hands-on experience with deployment.
- Tips for further practice: Try deploying different types of Flask applications. Experiment with different numbers of Gunicorn worker processes. Look into optimizing your Nginx configuration.
Need Help Implementing This?
We build custom systems, plugins, and scalable infrastructure.
Related topics
Keep learning with adjacent tracks.
Popular tools
Helpful utilities for quick tasks.
Latest articles
Fresh insights from the CodiWiki team.
AI in Drug Discovery: Accelerating Medical Breakthroughs
In the rapidly evolving landscape of healthcare and pharmaceuticals, Artificial Intelligence (AI) in drug dis…
Read articleAI in Retail: Personalized Shopping and Inventory Management
In the rapidly evolving retail landscape, the integration of Artificial Intelligence (AI) is revolutionizing …
Read articleAI in Public Safety: Predictive Policing and Crime Prevention
In the realm of public safety, the integration of Artificial Intelligence (AI) stands as a beacon of innovati…
Read articleAI in Mental Health: Assisting with Therapy and Diagnostics
In the realm of mental health, the integration of Artificial Intelligence (AI) stands as a beacon of hope and…
Read articleAI in Legal Compliance: Ensuring Regulatory Adherence
In an era where technology continually reshapes the boundaries of industries, Artificial Intelligence (AI) in…
Read article