Gain insights into building REST APIs with FastAPI, explore parallel processing in Python, and discover how to deploy APIs on Microsoft Azure with a CI/CD pipeline using GitHub.

Build a REST API Using Python and Deploy It to Microsoft Azure.png

fastapi-docker.tar.gz

FastAPI-test

Python3

In this course, you will learn how to build a REST API using a lighter web framework for Python, i.e., FastAPI. You will learn the basics of FastAPI and learn how to implement parallel processing in Python APIs.

Finally, you will deploy your API on Microsoft Azure and build a Continuous Integration/Continuous Development (CI/CD) Pipeline using Github.

Build a REST API Using Python and Deploy it to Microsoft Azure

# Create an Azure App Services resource
Now that we have our *API* on GitHub, it is time to create an *Azure App Services* resource. We have Linux as the App Service OS. Follow the steps below to create the resource. 

**Explanation**
* **Step 1:** Visit the [Azure Portal](https://portal.azure.com/) to create the app services resource. Search the app services on the Azure Portal, and click on one in the Services section.

* **Step 2 and 3:** Fill in all the details to create the service.
   * Select your subscription.

   * Select your resource group.
   * Give your service a globally unique name.
   * Select the runtime stack.
   * Select the region where you want to host your service.
   * Select the app service plan (*or create a new plan*) and pricing tier as per your choice. 
   * Then, click on the "*Review + Create*" button to perform the validation and finally click on the "*Create*" button.
* **Step 4:** Once your service is deployed successfully, you will be able to see the "*Go to resource*" button. Click on that button.
* **Step 5:** Once you click on the “Go to resource” button, you will be taken to your app services dashboard. Here you can find various things including the:
   * Location of your service.
   * App service plan of your service.
   * Subscription of your service.
   * Resource group of your service.
   * URL of your app service.
* **Step 6:** Now, as we are going to deploy a `FastAPI` project on app service, we would need a WSGI server like `gunicorn`. 
   > Azure App Service for Linux with its Oryx build runner when identifies Python web apps run them using Gunicorn, a WSGI server. So your startup script can have the `gunicorn` command to spin up the `FastAPI` app with the help of Gunicorn's worker class `uvicorn.workers.UvicornWorker`.
 
   We need to specify the startup command, i.e., the command that needs to be run to start your app. Go to the "*Configuration*" section from the left navigation bar in the App Services dashboard. Then, go to "*General Settings*" and type the command shown below:
   ```a
   gunicorn -w 2 -k uvicorn.workers.UvicornWorker main:app
   ```
   This command tells the `gunicorn` to use `uvicorn` server and run the `main.py` file with 2 workers. The `-w` indicates the number of workers you want to spin up with Gunicorn.
   
   After that, click on the "*Save*" button.
* **Step 7 and 8:** Now, we will connect our GitHub repository to Azure App Service. Go to the "*Deployment Center*" section from the left navigation bar. Then, connect your GitHub account and authorize the App Service to access your GitHub repositories. Then, select all the necessary details as shown in the snapshots above. Now, if anything changes in your GitHub repository, Azure will make sure to integrate and deploy it automatically on *App Services*. This is the main concept of CI/CD pipelines.




Learn to create an Azure App Service and connect it to your Github repository for CI/CD.

Overview of the Course

Building Blocks of an API in Python

Learn the Basics of FastAPI

Optical Character Recognition API Using Tesseract - Project 1

Cloud and Microsoft Azure Services

Text Analytics API Using Azure Cognitive Services - Project 2

Deploy the REST API on Microsoft Azure

Pop Quiz

Appendix

Create an App Service and Connect to Github for CI/CD

Create an Azure App Services resource