Docker Essentials — Image Optimization
Overview
Regardless of your role as a developer, sysadmin, or data scientist, Docker should be no stranger to you. In this article, let’s explore how we can optimize a Python Django-based application image from >400 MB to < 30 MB for production deployment.
The guidelines should apply to other programming languages, front-end or back-end frameworks you choose to build an application.
Setting up a Django-based App
Let’s start by setting up a Django-based app.
You can easily create a Django application following the documentation.
$ django-admin startproject django_slim
A project with the following structure is created.
django_slim/
manage.py
django_slim/
__init__.py
settings.py
urls.py
asgi.py
wsgi.py
requirements.txt
I am going to use Uvicorn with Gunicorn to start up the application. Let’s create a requirements.txt
file with the following content.
Django
uvicorn
gunicorn