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

# Check the CI/CD workflow
Once you have successfully connected the app to GitHub, go to your GitHub repository. You should see something similar to the snapshot shown below:

**Explanation**
* **Step 1:** You will see a `workflow` file that will be added automatically by Azure. This file is used by Azure to configure the CI/CD (*Continuous Integration/Continuous Deployment*) with GitHub.

   > A `workflow` is defined by a `YAML` (*.yml*) file in the `/.github/workflows/` path in your repository. This definition contains the various steps and parameters that make up the workflow. 

   The file has the following three sections:
     * **Authentication:** 
         *  Define a service principal or publish profile.
         * Create a GitHub secret.
     * **Build:**
         * Set up the environment.
         * Build the web app.
     * **Deploy:**
         * Deploy the web app.
* **Step 2:** Now, go to the "*Actions*" tab in your repository. You can see that there is a workflow added by Azure and it is in *running* status.
* **Step 3:** Select the workflow after which you can see the steps in the workflow.

* **Step 4:** Once your workflow is deployed successfully, you can see the view as shown in the snapshot above.

# Test the app service *URL*
Now that our *API* has been deployed successfully to the *Azure App Services*, you can follow the steps stated below to test your *API* on *Azure App Services*.

Check the GitHub action for CI/CD deployment and test the app service URL.

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

Check the GitHub Actions and Test the App Service

Check the CI/CD workflow