Deployment of a Web Application to automate talent onboarding using HTML / CSS / JS / BS (Front-end) + Python Flask (Back-end) with Cloud Storage and Cloud Functions 100% Serverless-Part 2

In this project based on a real-world scenario, I acted as a Cloud Expert in the deployment of a Web Application to automate the HR onboarding process. By filling out a form, the user is created in the Training Portal in a fully automated way.

To deploy this solution, I used a Moodle image available on GCP Marketplace, where the REST API had been enabled, running on Compute Engine, front-end on Cloud Storage, and the back-end on Cloud Run.

I deployed the back-end using Python Flask using Cloud Functions, 100% Serverless. Then, I deployed the front-end using HTML/CSS/JS/BS on Cloud Storage to store the static files of the Web Application.

Below are few screenshots:

Enable web service on iLearn(Corporate Training portal that I deployed earlier)

Enable Rest protocol.

Enable external web service.

Add function to Create Users

Create a token

Add user via Cloud Shell

Create a Cloud Function

Set Runtime environment variables

Cloud Function Trigger URL

Runtime environment variables being used in the Python code

Added a user using Curl command

Logs

Added user is reflected in iLearn Portal

Logs should capture any unexpected errors

Created a bucket which is public to add user via portal

User being added and saved

User that was added can be seen in the iLearn Portal