Community Blog How to Deploy a Django Application with Docker

How to Deploy a Django Application with Docker

Docker is a technology that makes it easier to create, deploy and run applications by using containers.

By Esther Vaati, Alibaba Cloud Tech Share Author

In this tutorial, we are going to learn about Docker and how to apply it to website development. We will be deploying a Django application with Docker on an Alibaba Cloud ECS instance.

What is Docker?

Docker is a technology that makes it easier to create, deploy, and run applications by using containers. Containers allow developers to package applications with all the components required by the applications and later ship them out as packages. It also makes it possible to get more apps running on the same server.

With Docker, you can be assured of a higher level of security since applications that are running on containers are isolated from each other. In addition, Docker ensures that each container has its own resources and therefore an application will only use the resources that are assigned to it.


Before you begin this guide you'll need the following:

  • An Alibaba Cloud ECS Linux instance. If you haven’t yet set up your Linux instance, this article shows you various ways to set it up.
  • Docker
  • Python 2.7

Install Docker

Login to your server using the ssh command.

$ ssh root@

Update Ubuntu packages.

$ sudo apt-get update

Install the latest version of Docker with the following command.

$ sudo apt-get install docker

To verify that Docker has installed correctly run the following command.

$ sudo docker run hello-world

If performed correctly, the above commands should let your instance download a test image and run it in a container.

Containers and Images in Docker

On an Alibaba Cloud ECS instance, you can use images to create ECS clusters with identical configurations. Similarly, Docker containers have images. Conceptually, they are very similar. Based on the official Docker documentation:

A container image is a lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, settings.

You can view running containers by running $ sudo docker ps.

An image, on the other hand, is an inert, immutable, file that's essentially a snapshot of a container. Images are created with the build command, and they'll produce a container when started with the run command.

You can view images by running $ sudo docker images.

Build a Django Application

First, let's install Django and Create a Django application.

$ sudo pip install django==1.9
$ django-admin startproject djangoapp

Requirements File

Create a requirements file inside the djangoapp directory and define the dependencies required by the application.

$ cd djangoapp
$ nano requirements.txt

Add the following dependencies.



Create Docker file

Docker has the ability to build images automatically by reading instructions from a Dockerfile. A docker file contains all the commands and instructions that Docker uses to build images.

Let's define some of the basic commands used in a Dockerfile.

  • FROM - initializes a new build stage and sets the Base Image for subsequent instructions. As such, a valid Dockerfile must start with a FROM instruction.
  • RUN - runs the command specified.
  • ADD - Copy a file(s) into the container.
  • EXPOSE - informs Docker that the container listens on the specified network ports at runtime.
  • CMD - provide defaults for an executing container.

Now let’s create a file named Dockerfile.

$ nano Dockerfile

Let's begin by defining all the properties required in a Dockerfile. Define the base image and maintainer name.

# base image 
FROM python:2.7

# File Author / Maintainer

Next, copy the application folder inside the container and define the directory where CMD will execute.

# Copy the application folder inside the container
ADD . /usr/src/app

# set the default directory where CMD will execute
WORKDIR /usr/src/app

Finally, set the default command to execute.

CMD exec gunicorn djangoapp.wsgi:application --bind --workers 3

Your final Dockerfile should now look like this.

# set the base image 
FROM python:2.7

# File Author / Maintainer

#add project files to the usr/src/app folder
ADD . /usr/src/app

#set directoty where CMD will execute 
WORKDIR /usr/src/app

COPY requirements.txt ./

# Get pip to download and install requirements:
RUN pip install --no-cache-dir -r requirements.txt

# Expose ports

# default command to execute    
CMD exec gunicorn djangoapp.wsgi:application --bind --workers 3 

Build the Docker Image

Run the following command to build the docker image.

$ sudo docker build -t django_application_image .

Sending build context to Docker daemon   12.8kB
Step 1/7 : FROM python:2.7
 ---> 2863c80c418c
Step 2/7 : ADD . /usr/src/app
 ---> 09b03ff8466e
Step 3/7 : WORKDIR /usr/src/app
Removing intermediate container a71a3bf6af90
 ---> 3186c92adc85
Step 4/7 : COPY requirements.txt ./
 ---> 701c0be5e039
Step 5/7 : RUN pip install --no-cache-dir -r requirements.txt
 ---> Running in ed034f98db74
Collecting Django==1.9 (from -r requirements.txt (line 1))
  Downloading Django-1.9-py2.py3-none-any.whl (6.6MB)
Collecting gunicorn==19.6.0 (from -r requirements.txt (line 2))
  Downloading gunicorn-19.6.0-py2.py3-none-any.whl (114kB)
Installing collected packages: Django, gunicorn
Successfully installed Django-1.9 gunicorn-19.6.0
Removing intermediate container ed034f98db74
 ---> 1ffd08204a07
Step 6/7 : EXPOSE 8000
 ---> Running in 987b48e1a4ef
Removing intermediate container 987b48e1a4ef
 ---> ef889d6e8fcb
Step 7/7 : CMD exec gunicorn djangoapp.wsgi:application --bind --workers 3
 ---> Running in 4d929e361d0f
Removing intermediate container 4d929e361d0f
 ---> c6baca437c64
Successfully built c6baca437c64
Successfully tagged django_application_image:latest

Your built image is now in your machine’s local Docker image registry. You can check your image by running $ sudo docker images.

REPOSITORY                 TAG                 IMAGE ID            CREATED             SIZE
django_application_image   latest              c6baca437c64        34 minutes ago      702MB

Run the App

$ sudo docker run -p 8000:8000 -i -t django_application_image

[2018-03-25 12:29:08 +0000] [1] [INFO] Starting gunicorn 19.6.0
[2018-03-25 12:29:08 +0000] [1] [INFO] Listening at:
[2018-03-25 12:29:08 +0000] [1] [INFO] Using worker: sync
[2018-03-25 12:29:08 +0000] [8] [INFO] Booting worker with pid: 8
[2018-03-25 12:29:08 +0000] [9] [INFO] Booting worker with pid: 9
[2018-03-25 12:29:08 +0000] [10] [INFO] Booting worker with pid: 10

You should see a message that gunicorn is serving your app at Navigate to your servers IP (ip_address:8000) and you should see the Django welcome page.

To see running containers:

$ sudo docker ps -a
CONTAINER ID        IMAGE                      COMMAND                  CREATED             STATUS                           PORTS                            NAMES
100695b41a0a        django_application_image   "/bin/sh -c 'exec gu…"   13 seconds ago      Exited (0) 4 seconds ago                                          hopeful_easley


Occasionally you might face some challenges when using Docker. The first thing to do when you experience an error is to check Docker logs files as they provide some information on what might have gone wrong.

Docker and other containers are a powerful alternative to traditional virtual machines for application development. To learn more about running containers on Alibaba Cloud, visit the Container Service page.

0 0 0
Share on

Alibaba Clouder

501 posts | 31 followers

You may also like


Alibaba Clouder

501 posts | 31 followers

Related Products

  • API Gateway

    API Gateway provides you with high-performance and high-availability API hosting services to deploy and release your APIs on Alibaba Cloud products.

    Learn More
  • WAF(Web Application Firewall)

    A cloud firewall service utilizing big data capabilities to protect against web-based attacks

    Learn More
  • Simple Application Server

    A single server-based service for application deployment, security management, O&M monitoring, and more

    Learn More
  • EDAS

    A PaaS platform for a variety of application deployment options and microservices solutions to help you monitor, diagnose, operate and maintain your applications

    Learn More