The company AppSculpt wishes to set up its book recommendation app ReadRadar in Azure and they've hired you as their Azure consultant. You'll kick off this project by learning how the ReadRadar book recommendation app works, and how it will work in Azure. You'll then prepare your Azure environment and calculate the budget needed to set up the necessary services and resources.   

Introduction to the case study

Teamwork in Azure

Setting up the book recommendation app in Azure

Getting started in Azure

Getting help in Azure

Estimating costs with the pricing calculator

Getting to know the case study

It's time to set up the project's first resources! You'll upload a text file with book data to Azure using Blob Storage for further use by the recommendation model underpinning ReadRadar. For the data science team, you'll set up a data science virtual machine to help them develop and test the recommendation engine. 

Storage accounts and virtual machines

Pick the right storage option

Creating a storage account

Uploading the book dataset

Creating a data science virtual machine (DSVM)

Tagging your resources

Setting up the necessary resources

You've set up the necessary resources and configured them correctly. Now, you can focus on optimizing security and performance using the management and monitoring tools available in Azure. 

Management and monitoring tools

Options

RBAC

Azure Policy

Azure Monitor

The right tool for each task

Setting up a policy

Checking RBAC permissions

Creating a metrics workbook

Setting up an alert for storage availability

Wrap-up

Optimizing security and performance

Ready to apply your knowledge of Azure Fundamentals?

In this case study, you'll act as an Azure consultant with your team for AppSculpt, a company that specializes in creating recommendation apps. They wish to move their book recommendation app to Azure, and you'll assist them in this process.

Through hands-on exercises, you'll estimate costs using the pricing calculator, set up and configure the right resources, and ensure that your Azure environment is properly secured and monitored.

<h2>Introduction to the Project</h2>
<p>Embark on an exciting journey with AppSculpt, a leading developer of recommendation applications, as they aim to transition their book recommendation service to the Microsoft Azure platform. As a consultant in this case study, you will use your understanding of Azure Fundamentals to guide this transformation. You will explore the capabilities of Azure to find the optimal solutions that align with the company's needs and aspirations for scalability and reliability.</p>

<h2>Implementation Strategies</h2>
<p>Throughout this case study, you will engage in detailed planning and execution of the app's migration. This includes selecting the appropriate Azure services such as Azure App Services, Azure SQL Databases, and Azure Cognitive Services to enhance the app's functionality. You will also employ the Azure Pricing Calculator to forecast and manage costs effectively, ensuring the project stays within budget. Your role will involve configuring these services to work seamlessly together to provide a robust book recommendation system.</p>

<h2>Security and Monitoring</h2>
<p>Maintaining the security and integrity of the application is paramount. In this segment, you will learn to implement Azure’s security features, including setting up Azure Active Directory for authentication and using Azure Monitor to keep track of the app’s performance and activity. These tools will help you ensure that the application not only runs efficiently but also remains secure against potential threats, providing peace of mind to both AppSculpt and its users.</p>


Understanding Microsoft Azure Management and Governance

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

Case Study: Set Up a Book Recommendation App in Azure

Implementing the principle of least privilege

The right tool for each task

Case Study: Set Up a Book Recommendation App in Azure

Hands-on interactive exercise