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)
1
Section 1: Solution and Infrastructure
6
Section 2: Application Development, Data, and Security
10
Section 3: Summary

Diving into big data services

Big data goes way beyond traditional data technologies, so it could have been placed under the MODERN top-level group. However, as stated before, it is easier to make it a separate group for the sake of clarity. In a nutshell, big data deals with data sets that are too large to be handled by traditional data technologies. The good news, however, is that the opposite is possible. You can use big data technologies to handle smaller volumes, and it is doable at an affordable price in the cloud. Figure 6.10 shows the big data landscape in Azure:

Figure 6.10 – Big data in Azure

Figure 6.10 – Big data in Azure

As a preamble, we can say that Azure's data service masterpiece is Azure Synapse Analytics (ASA). ASA can be used for whatever data purpose you may have with Azure. Therefore, it's impossible to position it in a very specific place on the map. So, if you know nothing about Azure data services, you should consider ASA an all-in-one data service...