Book Image

Azure Architecture Explained

By : David Rendón, Brett Hargreaves
Book Image

Azure Architecture Explained

By: David Rendón, Brett Hargreaves

Overview of this book

Azure is a sophisticated technology that requires a detailed understanding to reap its full potential and employ its advanced features. This book provides you with a clear path to designing optimal cloud-based solutions in Azure, by delving into the platform's intricacies. You’ll begin by understanding the effective and efficient security management and operation techniques in Azure to implement the appropriate configurations in Microsoft Entra ID. Next, you’ll explore how to modernize your applications for the cloud, examining the different computation and storage options, as well as using Azure data solutions to help migrate and monitor workloads. You’ll also find out how to build your solutions, including containers, networking components, security principles, governance, and advanced observability. With practical examples and step-by-step instructions, you’ll be empowered to work on infrastructure-as-code to effectively deploy and manage resources in your environment. By the end of this book, you’ll be well-equipped to navigate the world of cloud computing confidently.
Table of Contents (20 chapters)
1
Part 1 – Effective and Efficient Security Management and Operations in Azure
5
Part 2 – Architecting Compute and Network Solutions
12
Part 3 – Making the Most of Infrastructure-as-Code for Azure

Understanding Azure Data Solutions

When building solutions, at some point, you need to be able to read and write data.

There are many kinds of data we may need to consider interacting with when designing and building solutions. Pieces of data aren’t just records in a database – images, documents, and even binary files are all data.

In technical terms, all these different types of data can be grouped into structured, semi-structured, and unstructured data.

Once we have decided what type of data we need to store, we must make choices based on cost, performance, availability, and resilience.

How we plan to use our data can also impact our choice of technology – for example, a web application that simply needs to display images or allow a user to download a document would have very different requirements to a data processing solution that needs to quickly read thousands of small files and output a report.

We must also consider the sensitivity of data...