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Serverless Python on Azure: Django with App Service


This article was originally posted on the Microsoft Student Partners blog

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Over time, one of the most tiresome and non-rewarding tasks to some developers I know is the setup, maintenance and scaling of servers. Something often goes wrong.

Don't get me wrong, some developers like me enjoy that process. However, it doesn't scale well and the repetition of tasks can get tiring.

Doing all of this on your own can take some time:

  • Operating system maintenance
  • Capacity Provisioning - increase or reduce servers(or capacity) to handle different traffic
  • Availability and fault tolerance
  • Load balancing
  • Networking

It's not a wonder that many companies like Netflix, Uber, CodePen, etc are using Serverless technology.

This article will cover the basics of deploying a basic Django(Python) application to Azure App Service, a serverless offering by Microsoft Azure. This will allow you to stop stressing or even stop thinking about servers in your development lifecycle.


  • Basic web development understanding.
  • Experience with git and GitHub. Here's a simple guide.
  • Basic Python and Django experience. (If you'll follow the exact steps under the app setup)
  • An Azure Account. (If you'll deploy)


What is Serverless anyway? πŸ‘€

Serverless is a cloud systems architecture that involves no servers, virtual machines, or containers to provision or manage. Your cloud provider dynamically manages the allocation and provisioning of servers.

This allows you to build and run applications and services without thinking about servers.

This reduces the time and money spent on DevOps, allowing developers to focus on the actual coding. Sweet πŸ‘Œ

β€œFocus on your application, not the infrastructure”

PS, the application will still be running on servers, it's just that you are not the one managing them.

Azure App Service

Azure App Service

Azure App Service is a service for hosting web applications, REST APIs, and mobile back ends. You can develop in your favourite language, be it Python, Node.js, .NET, etc without managing infrastructure. Applications run and scale with ease on both Windows and Linux-based environments.

In English, it basically a hosting service that allowing you to host your app or backend without thinking about the server(s). Find out more here.

Django Application setup

You can skip this step by cloning the code from here: https://github.com/paulonteri/django_azure/

Basic Application Setup

We are going to use the basic Django starter for this.

If you have Django installed, create a new project with the command: django-admin startproject <yourprojectname>

In my case:

django-admin startproject django_azure

Test that your application is ok by starting the application by running migrations and running the server(from your app's directory):

python3 manage.py migrate
python3 manage.py runserver

That should give you the default Django starter page running by default on port 8000 of localhost:

Django starter page

The commands I ran:

Paul Onteri's terminal

For the purposes of this, change your ALLOWED_HOSTS setting to allow all hosts:


A more secure way of doing this is to add the following host to your allowed hosts: <instance-name>.azurewebsites.net In my case:

ALLOWED_HOSTS = ['django-on-azure.azurewebsites.net']

We should also create a requirements file that will be used to list our python dependencies. By convention, it's named requirements.txt

In the root of the project directory create a new file called requirements.txt and add the dependencies your Django app is using in my case (Django default):


If you are running your app in a virtual environment, just run the following command instead:

pip freeze > requirements.txt

Pushing the Code to GitHub

We are going to initialize our repository, make a commit(s) and push the code to GitHub. This will help in the deployment process.

If you aren't well familiar with git and GitHub kindly use this article as a guide.

Start by creating a new GitHub repo.

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Set up the git repo locally

Initialize the project directory as a git repository:

git init

Add all the files in your new local repository. This stages them for a commit.

git add *

Commit the files that you've staged in your local repository.

git commit -m "first commit"

In Terminal, add the URL for the remote(GitHub) repository where your local repository will be pushed in the next step with the command: git remote add origin <remote Repository Url>

git remote add origin `remote Repository Url`

In my case:

git remote add origin https://github.com/paulonteri/django_azure.git
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Push the changes in your local repository to GitHub.

git push -u origin master

The commands I ran:

Paul Onteri's terminal

Cloud Computing

Deploying to Azure App Service

FYI, this 2-5 minute process is a one-time thing. You set it up once and your website/app will be updated automatically whenever you push code to GitHub.

Provision the target Azure App Service

Navigate to your Azure Portal then search for the term 'App Services' then click on the App Services item.

App Services Search

Once in the App Services section, click on the 'Create app service' button. Then create your web app.

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The following is the configuration I used:

Provision Azure App Service


This lets you manage deployed resources and costs. A resource group is a collection of resources that share the same lifecycle, permissions, and policies. Use resource groups like folders to organize and manage all your resources. Configuration:

Subscription: default
Resource Group: created a new one

Instance Details

The name is basically a name. What you'd like to name your app. Under publish you decide whether you are going to push code or a docker image. in our case it's code. The runtime stack lets you define the underlying programming language for your app, in our case, Python. The region is the geographic location where your app will be hosted.

Name: django-on-azure
Publish: Code
Runtime stack: Python 3.7
Operating System: Linux
Region: Central US

App Service Plan

This lets you define the compute resources, features and costs that will be associated with your app. Be careful to choose an appropriate Sku and size as some of them might get pretty expensive. I would suggest starting with the 'Dev / Test' packages to find the Free option. To change the Sku and size, click on 'Change size' to bring the 'Spec Picker', like so;

Azure App Service Spec Picker


Linux Plan `Region` : created a new one

Sku and size: Free F1, 1 GB memory

Once done, click on the 'Review + Create' button.

Then click create.

Azure App Service review & create

That will lead you to such a page:

Azure App Service created

Under the next steps, click on 'Go to resource' to manage your service.

Deploy to app service from GitHub

Deploy to Azure App Service from GitHub

From your resource's dashboard search for the term 'Deployment' then click the 'Deployment Center' button from the sidebar(menu).

resource dashboard

You'll see a list of Source Control services that can be used. Since our code is hosted on GitHub, click GitHub then continue. This might ask you to connect your GitHub account.

build providers

Next, we'll see a bunch of build providers These are the services we can use to automatically build and deploy our web app code. In my opinion, the easiest method, that is also free, is by setting up continuous integration(CI) with GitHub Actions.

Continuous Integration (CI) is a development practice where developers integrate code frequently, preferably several times a day. Each integration can then be verified by an automated build and automated tests then deployed.

Let's select GitHub Actions and click continue.

GitHub Actions are workflows that can handle common build tasks, like continuous delivery and continuous integration. That means that you can use an action to compress images, test your code, and push the code to your hosting platform, etc. Learn more here. In this case, we'll use GitHub actions to automatically deploy our code to Azure App Engine.

GitHub Configuration

The next step will involve configuring the details of the GitHub repository you set up for the web app. Fill in the details then go to the last step.

Under summary, you confirm that all the details you had provided are correct then click Finish

Your code is now automatically being deployed from GitHub to Azure App Service.

If you navigate to your GitHub repository, you'll notice that there is a new file that has been added under the '.github/workflows' folder. If you didn't manage to create a GitHub repo, you can check out the one I created here.

paulonteri/django_azure GitHub Repo

This is a GitHub Actions workflow file To see the workflow in action, got to the Actions tab in your Github Repository then click on it.

paulonteri/django_azure GitHub Actions

You will be able to see live logs of every workflow step/ job from there. Once it's done, your web app will be live.

paulonteri/django_azure GitHub Actions progress

Your App is now Deployed! 😎

Like a boss!

Navigate to https://<instance-name>.azurewebsites.net to see it.

App is now deployed

Anytime you push code to your repo, this process will happen automatically and your live app will be updated. You set it up once and almost never worry about it again.

It's that easy!

What Next?

  1. Learn how to deploy to Azure App Service from VS Code πŸ”₯
  2. Learn about some other Serverless technology like Azure Functions - it has a very generous monthly free tier
  3. Check out the Microsoft Student Ambassadors, Kenya page for more articles, events and generally anything tech!
  4. Last and definitely not least, Try to empower every person and every organization on the planet to achieve more!

Thank you for reaching the end of the article!

I hope you learned something.

Shameless Plug 😭

I ❀️ anything around Software Development.

I currently work as a Frontend Dev at a company called Inuua Tujenge, working with React, React Native and Django (Python & JavaScript) almost daily.

Feel free to connect with me. πŸ‘Œ

Check out my most recent project - a Remote Code Execution Engine, similar to the ones used for coding on HackerRank and Leetcode. It currently supports Python, JavaScript, Java, Go, C#, etc.

Repo: https://github.com/paulonteri/remote-code-execution-environment

Live project: https://runcode.paulonteri.com

Thanks for your valuable time.