Category: python

Deploying a django website to a Ubuntu 16.04 server with python3.6, gunicorn, nginx and Mysql

Getting up and running on your local development setup and being able to build and see the changes you are making is one of the numerous reasons we like django.

The built in development webserver helps a lot in this regard.

As soon as we have to deploy the site on a server and make it public so that other people can see the project and progress the job is more do it yourself and can be hard at times. In this post, I will show you how I did it with Ubuntu 16.04, nginx, gunicorn and with a Mysql Database.

I tried to use an ansible script to build an idempotent setup but it became tedious and decided that the initial server configuration will be a snowflake but change deploys will be done with ansible.


ubutnu16.04-django-nginx-mysql-gunicorn ubutnu16.04-django-nginx-mysql-gunicorn ubutnu16.04-django-nginx-mysql-gunicorn


There are a few topics and a flow of how to get the site deployed:

  1. Provisioning a server
  2. Configuring the server with requirements
  3. Settings
  4. Requirements
  5. Basic Django Setup
  6. Getting gunicorn to work
  7. Configure Nginx to Proxy Pass

Provisioning a Server

I want an ubuntu 16.04 server mainly because it has long term support and I am used to ubuntu. With your hosting client create the server and then ssh in with:

ssh user@123.345.566.789

The best thing to do now is take care of basic security and initial setup of the ubuntu 16.04 server

The most important thing is creating an ssh key and logging in with ssh and disabling password login.

Configuring the server with requirements

One key thing is that when installing python 3.6 on ubuntu 16.04 is that it is not part of that version and was released later.

You should build python3.6 from source and not use a ppa. This tutorial on installing python3.6 from source on ubuntu 16.04 is the one I used.

Everything else can be installed with apt:

  • python-mysqldb
  • mysql-server
  • nginx
  • git
  • libmysqlclient-dev

Remember when installing mysql-server that you will set a root password. You can run mysql_secure_installation to ensure the server is secure.


In your django project it is important to ensure that you split into a directory with files

  • settings/
  • settings/
  • settings/ contains global generic settings then in and you can import those settings with:

from . base import *
and then override and add settings you need.
Remember that when running a command you should specify the settings with:
./ collectstatic --setting=config.settings.staging
Although setting an environment variable is better with:
export DJANGO_SETTINGS_MODULE=config.settings.staging
Another thing is typing settings in on your local machine will become tedious so better to default to your local settings in with:

if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings.local")

Remember to ensure mail servers and external integrations are not production or live settings when they should not be


A good idea is to split up your requirements the same way you did for settings.

  • requirements/base.txt
  • requirements/local.txt
  • requirements/production.txt

You can inherit from base with -r base.txt as the first line.

Basic Django Setup

Create the database and user

Now you can create a mysql schema and a mysql user for that database. See this tutorial on how to create a new user and grant permissions.

Create the Environment

python3.6 -m venv env

source env/bin/activate

Now ensure that the settings environment variable is set in the environment by adding the following to the end of env/bin/activate:

export DJANGO_SETTINGS_MODULE=config.settings.staging

deactivate and reactivate with source env/bin/activate

Importantly you can put the django setting above in post_activate only if you use virtualenvwrapper it does not work with the native python virtualenv module.

Setup the database and static files

./ migrate

./ collectstatic

./ createsuperuser

Test the site works

With the ALLOWED_HOSTS = [‘xxx’, ]  and DATABASES updated in settings you can test the site with the development server with: runserver

You will need to enable the 8000 port first with sudo ufw allow 8000

You can test if the site works at: http://server_domain_or_IP:8000

Getting Gunicorn to Work

Great news. If everything has worked up till now we can now get gunicorn to work.

pip install gunicorn

Make sure to add the to your requirements/production.txt

Run gunicorn:

gunicorn --bind settings_module.wsgi

Now you can test again.

If everything is good we want this service to be managed now by the os, so that it starts automatically on a system start and can be monitored with logs. For that unforunately we need to create a systemd service.

vim /etc/systemd/system/gunicorn.service

Add the following:

Description=gunicorn daemon

ExecStart=/var/www/<project_name>/env/bin/gunicorn --access-logfile - --workers 3 --bind unix:/var/www/<project_name>/kid_hr.sock config.wsgi:application


Important to note that an environment file is given .gunicorn_env

The contents of this file will contain all the environment variables needed so in our case just:


You now need to create and enable the service:

sudo systemctl start gunicorn

sudo systemctl enable gunicorn

Configure Nginx to Proxy Pass

The final step is serving the site through nginx

sudo vim /etc/nginx/sites-available/<project_name>

Add the following:

server {
    listen 80;
    server_name <server_domain_or_ip>;

    location = /favicon.ico { access_log off; log_not_found off; }
    location /static/ {
        root /var/www/<folder_name>;

    location / {
        include proxy_params;
        proxy_pass http://unix:/var/www/<folder_name>/kid_hr.sock;


You then need to create a symlink to the enabled sites folder and remove the default site symlink there.

sudo ln -s /etc/nginx/sites-available/myproject /etc/nginx/sites-enabled

Check you nginx config with:

sudo nginx -t

then restart nginx

sudo service nginx restart

Open port 80 and delete the old 8000 port rule:

sudo ufw delete allow 8000

sudo ufw allow 'Nginx Full'



So it is not that difficult but it is difficult if you are trying to create a repeatable thing, which I hope one of you reading this will do. Another thing you can do is add whitenoise for simplified static file serving which I have not tried yet.

If you have any issues you can comment below or troubleshoot on the source of this article

Getting Started in Data Science, Machine Learning and Big Data

If you think that Machine Learning, AI, Big data, Neural networks are all just gimmicks then I suggest you watch this (It helps if you have played Dota before)

AI and Machine Learning is real and it is getting better all the time, if you don’t catch that train you will be left behind.


So a good place to start is, which will lead you down an unguided path of many topics. A lot of the below is coming from the python end of things, if you don’t like that well you can leave now.

Neural Networks

Theano is “the” python library when talking about Neural Networks

Machine Learning

Check out Machine Learning videos

If you like Finance Programming

or algorithmic trading you can check them out

Data Science

In terms of Data Science and data analytics, scikit learn is the one to look at