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

## Logs in Application Insights
We must have some data logged in the service after running it 3 to 4 times. (*Note that it might take some time- around 1 to 5 minutes- for the data to be available in your service.*)

Let us follow the steps given below to view the logged data.

# Logs in Application Insights
We must have some data logged in the service after running it 3 to 4 times. (*Note that it might take some time- around 1 to 5 minutes- for the data to be available in your service.*)

Let us follow the steps given below to view the logged data.

Learn to write the queries in Application Insights to view the logged data.

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

View the Logs in Application Insights

Logs in Application Insights