Deploying WSGI Python applications using Docker
At next we will explain the practical way of deploying Python WSGI applications on production servers using the powerful and popular Docker tools.
Many popular Python frameworks such as Django and Flask provide a WSGI implementation to connect to a web server, and suggest this as the prefer way of deployment.
[WSGI] (https://wsgi.readthedocs.io/en/latest/what.html) is a Python specification that describes how a web server communicates with web applications, and how web applications can be chained together to process one request.
Back in 2003, Python web framworks were typically written on a variaty of interfaces against web servers like CGI or mod_python.
In December of that year the [PEP 333] (https://www.python.org/dev/peps/pep-0333/) was introduced to convey in the way that a Python framework should communicate with a webserver, to provide a common ground on development of this area.
In a glance, a production architecture of a Python web application should look like this:
- Setup a Django WSGI Application (a normal Django Application)
- Setup a WSGI compliant Web Server
- Setup a reverse proxy
- Setup a Docker container using Docker compose
[Django] (https://www.djangoproject.com/) is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.
Django it’s my preferred way of development for REST API for three primary reasons:
- It written in Python, that it’s a very clean language
- Together with [Django Rest Framework] (https://www.django-rest-framework.org/) It has 90% of the the tools that you need to develop a REST API
- It has a huge community, and it has been around enought time to get help on almost any problem that you encounter.
WSGI Compliant Web Server
Basically a web server that has a module to communicate with a WSGI application.
We use this component to translate incoming HTTP request in to WSGI specification.
For our example we will use [GUNICORN] (https://gunicorn.org/) that uses a pre-fork work model.
It is a common pattern to put in front of your architecture a stable and solid with server with reverse proxy capabilities, to handle advanced escenarios in your architecture, like:
- SSL certificates
- Load Balancing
- Static Resources
For this example we will use NGINX
Docker provides container software that is ideal for developers and teams looking to get started and experimenting with container-based applications [Source] (https://www.docker.com/)
Nowadays its very common to use a container tool to develop and release code to production. Containters give you several benefits:
- Virtual Machine Architecture: that enables run the same container in any OS
- An easy development and deployment
- Descriptive configuration to share among developers evniroment
- Enables container orchestration, a powerfull techinique for achieve high scalability
Let’s see the code
For this example we will use a Ubuntu 18.04 VPS.
Steps to deploy:
1) Docker and Docker compose
We create to files in the root of our Django Application:
Dockerfile for the Python web application, with gunicorn
FROM alpine # init RUN mkdir /app WORKDIR /app COPY requirements.txt /app/ # setup RUN adduser -D deploy RUN apk update RUN apk upgrade RUN apk --no-cache add \ python3 \ python3-dev \ postgresql-client \ postgresql-dev \ build-base \ gettext jpeg-dev zlib-dev RUN pip3 install --upgrade pip RUN pip3 install -r requirements.txt RUN pip3 install gunicorn # clean RUN apk del -r python3-dev postgresql # prep ENV PYTHONUNBUFFERED 1 COPY . /app/
docker-compose.yml to describe the deployment
version: "3" services: web: build: . hostname: localhost user: deploy restart: always env_file: - ./.env command: sh start.sh volumes: - .:/app ports: - "8080:8080"
The startup script:
start.sh to start the services
#!/bin/sh python3 manage.py migrate --no-input django-admin compilemessages gunicorn --bind 0.0.0.0:8080 massone.wsgi
2) We install docker in our Ubuntu VPS
#!/usr/bin/env bash sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" sudo apt-get update apt-cache policy docker-ce sudo apt-get install -y docker-ce sudo usermod -aG docker deploy sudo curl -L https://github.com/docker/compose/releases/download/1.23.1/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose sudo chmod +x /usr/local/bin/docker-compose
3) Set the Enviroment variables
.env file :
DEBUG=True DBUSER=postgres DBNAME= DBPASSWORD= DBHOST=127.0.0.1 DBPORT=5432 EMAIL_TLS=true EMAIL_PORT_USE=587 EMAIL_USER= EMAIL_PASSWORD= EMAIL_HOST=smtp.gmail.com URL=http://127.0.0.1:8000 BROKER_TRANSPORT=redis BROKER_HOST=localhost BROKER_PORT=6379 BROKER_VHOST=0 CELERY_RESULT_BACKEND=redis CELERY_REDIS_HOST=localhost CELERY_REDIS_PORT=6379 CELERY_REDIS_DB=0 LOG_FOLDER=logs ROLLBAR= DIGITAL_OCEAN_ACCESS_ID= DIGITAL_OCEAN_SECRET_KEY= DIGITAL_REGION= DIGITAL_ENDPOINT_URL= BUCKET_NAME= DIGITAL_URL_PROFILE=
4) Setup the Nginx Reverse Proxy
Install nginx and configure the
sites-available/ to point to the gunicorn expose port.
5) Optimize if necesary
- SSL configuration
- Available NGINX or GUNICORN workers