After this RUN the pip install command to install the python packages needed for your project. The requirements.txt file will be copied into the working directory set previously. COPY command copies specific files from the host machine to the image we are creating.After this the WORKDIR sets the code directory as the working directory so that any further instructions on the dockerfile occur within this directory. The second line is the command RUN is used to run instructions on the image, in this case we are creating a directory by the name code.In this case, we are creating an image from the python 3.6 image.

It tells docker, from which base image you want to base your image from. The first line has to start with the FROM keyword.RUN pip install -no-cache-dir -r requirements.txt COPY. 1.Python image FROM python:3.6 RUN mkdir /code WORKDIR /code COPY requirements.txt. This is basically a text document highlighting all the commands on the cli and steps you would normally take to assemble an image. To launch each of these services, you'll need a dockerfile. Nginx - to serve static files and webserver.Going forwards, I've assumed you already had an existing django application, so this tutorial will just be a guide on how to containerize it.įor deploying a typical django application you would need the following services in order to get it running. In case you don't have docker installed on your machine follow the detailed steps below as per your operating system. which are like virtual machines, only more portable, more resource-friendly, and more dependent on the host operating system.įor detailed information on the workings of docker, I'd recommend reading this article and for those not comfortable reading long posts, this tutorial series on youtube was especially useful in introducing me to the concepts of docker. what is dockerĭocker is an open-source tool that automates the deployment of an application inside a software container. The ease of moving from production to development environment is simply mind blowing to say the least!! It can be a little intimidating at first, but oh boy! Once you start using docker, there's no going back. Heck, to be honest I did hold up on it one or two times before taking a full dive. You probably googled the term docker up and even tried experimenting with it but might have given up along the way.

Hey there I was inspired to write this post based on my experience trying to move my deployments to use docker, particularly for django applications and couldn't get a comprehensive place/article that covered what I needed.Hopefully this article will help anyone out there who is feeling as stuck as I was.Ī lot of you might have already heard this phrase being thrown around almost everywhere you turn.

Django docker tutorial