Book Image

The Azure Cloud Native Architecture Mapbook

By : Stéphane Eyskens, Ed Price
Book Image

The Azure Cloud Native Architecture Mapbook

By: Stéphane Eyskens, Ed Price

Overview of this book

Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements. Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security. By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives.
Table of Contents (13 chapters)
Section 1: Solution and Infrastructure
Section 2: Application Development, Data, and Security
Section 3: Summary

Delving into modern data services and practices

As stated in the previous section, you should not rush to newer technologies for the sake of it. However, the good news is that most of these technologies are available at an affordable price, so you should at least explore them. Although we try to set services under a certain category, some of them span multiple categories. So, you shouldn't consider their positions on the map to be official or the only way to organize them. For example, Azure Storage spans at least the modern and big data categories. Figure 6.6 shows Azure's vast modern data landscape, which we will review in the upcoming subsections:

Figure 6.6 – The modern data landscape in Azure

Figure 6.6 – The modern data landscape in Azure

Let's now explore the ELT category, which is the modern counterpart of ETL.

Introducing the ELT practice

ELT is quite similar to ETL, with one notable exception: the transformation step. As we saw earlier, in ETL, every step is entirely...