We’ll start by creating a new Django project using Docker.
Or, you could use Docker to manage the versions and upgrade projects when you’re ready! Project Setup
You could install multiple versions, add custom executables to the PATH, develop some kind of version management system, uninstall and re-install it every time you need it? What happens if you need to maintain an ancient project that needs Cloud SDK v160, but want to start a new project that requires v337? Managing versions of various tools on your machine can be a pain. Using Docker creates consistency between all your developer environment meaning you never have to hear “but it works on my machine!” again.
If used correctly, Docker can ensure all project dependencies are captured inside the project code which means all that setup (faffing with versions, tedious configs, python interpreters etc…) can be achieved by running a single command: docker-compose up. Using Docker on your project significantly reduces these issues and as a result helps new developers get up and running in minutes instead of days. This can happen for a number of reasons such as: different version of tools, different configurations, conflicting dependencies and so on. Time and again I’ve experienced projects where it takes new developers hours (or even days) just to get the project running on their local machine. I always deploy to Google App Engine via Docker containers for three reasons.
To help you manage your Docker environment you can install Portainer a Docker GUI management center.In this guide I’m going to show you how to deploy a Django application to Google App Engine (GAE) using Docker.
RUN apk add python python-dev py2-pip autoconf automake g++ make -no-cacheĬOPY. RUN apk add -update -no-cache mariadb-connector-c-dev \ # Set up packages required for mysql connector So here’s the docker file that will do the trick for us # pull official base image So for that, we need a docker file that will do this for us.
env file with the following parameters DB_ENGINE=django.db.backends.mysqlįirst, we need to have a docker image that includes our project in order to achieve the deployment.
# SECURITY WARNING: don't run with debug turned on in production!įor testing create a. Modify your settings.py to env = Env() # add this to top Modify your application to allow it read imformation directly from the environment this will help you manage deployment on multiple sites without having to rebiuld image. (env)$ django-admin.py startproject testapp. a bit of knowledge working with linux/unix systemsĬreate new project $ mkdir django-deploy-docker & cd django-deploy-docker.We'll also take a look at how to serve Django static and media files via Nginx. For production environments, we'll add on Nginx and Gunicorn. This is a step-by-step tutorial that details how to configure Django to run on Docker with MySQL. 4 min read Photo by Mohammad Rahmani / Unsplash Introduction.