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TechConf Registration Website

Project Overview

The TechConf website allows attendees to register for an upcoming conference. Administrators can also view the list of attendees and notify all attendees via a personalized email message.

The application is currently working but the following pain points have triggered the need for migration to Azure:

  • The web application is not scalable to handle user load at peak
  • When the admin sends out notifications, it's currently taking a long time because it's looping through all attendees, resulting in some HTTP timeout exceptions
  • The current architecture is not cost-effective

In this project, you are tasked to do the following:

  • Migrate and deploy the pre-existing web app to an Azure App Service
  • Migrate a PostgreSQL database backup to an Azure Postgres database instance
  • Refactor the notification logic to an Azure Function via a service bus queue message

Dependencies

You will need to install the following locally:

Project Instructions

Part 1: Create Azure Resources and Deploy Web App

  1. Create a Resource group
  2. Create an Azure Postgres Database single server
    • Add a new database techconfdb
    • Allow all IPs to connect to database server
    • Restore the database with the backup located in the data folder
  3. Create a Service Bus resource with a notificationqueue that will be used to communicate between the web and the function
    • Open the web folder and update the following in the config.py file
      • POSTGRES_URL
      • POSTGRES_USER
      • POSTGRES_PW
      • POSTGRES_DB
      • SERVICE_BUS_CONNECTION_STRING
  4. Create App Service plan
  5. Create a storage account
  6. Deploy the web app

Part 2: Create and Publish Azure Function

  1. Create an Azure Function in the function folder that is triggered by the service bus queue created in Part 1.

    Note: Skeleton code has been provided in the README file located in the function folder. You will need to copy/paste this code into the __init.py__ file in the function folder.

    • The Azure Function should do the following:
      • Process the message which is the notification_id
      • Query the database using psycopg2 library for the given notification to retrieve the subject and message
      • Query the database to retrieve a list of attendees (email and first name)
      • Loop through each attendee and send a personalized subject message
      • After the notification, update the notification status with the total number of attendees notified
  2. Publish the Azure Function

Part 3: Refactor routes.py

  1. Refactor the post logic in web/app/routes.py -> notification() using servicebus queue_client:
    • The notification method on POST should save the notification object and queue the notification id for the function to pick it up
  2. Re-deploy the web app to publish changes

Monthly Cost Analysis

Complete a month cost analysis of each Azure resource to give an estimate total cost using the table below:

Azure Resource Service Tier Monthly Cost Detail
Azure Postgres Database Basic (1 vCore, 50GB) $30.3
Azure Service Bus Basic $0.05 per million operations
Azure App Service Free (1 App, 1GB) $0 for 1 app,
Azure Functions Consumption Plan $0 for first 1 million execution
$0.2 per million executions
$0 for first 400,000GB-s
$0.000016 per GB-s
Azure Storage Account Block Blobs $0.00081 per GB

Architecture Explanation

The architecture for this application uses several Azure cloud solutions. The web app is a simple application that has no unique setup needs. This allows us to move away hosting it on a bare-metal server or virtual machine. We can use Azure's App service to host the web app.

The application does send email and if there are a lot of emails to send, this can be a long process. We could include this directly in our web app, but it may slow down its performance in peak use periods. We can move this functionality to an Azure Function. Azure Functions provide an endpooint where we can run code in response to an event. Offloading the email notification feature will speed up app's performance.

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