Book Image

Cloud Native Architectures

By : Tom Laszewski, Kamal Arora, Erik Farr, Piyum Zonooz
Book Image

Cloud Native Architectures

By: Tom Laszewski, Kamal Arora, Erik Farr, Piyum Zonooz

Overview of this book

Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. To harness this, businesses need to refresh their development models and architectures when they find they don’t port to the cloud. Cloud Native Architectures demonstrates three essential components of deploying modern cloud native architectures: organizational transformation, deployment modernization, and cloud native architecture patterns. This book starts with a quick introduction to cloud native architectures that are used as a base to define and explain what cloud native architecture is and is not. You will learn what a cloud adoption framework looks like and develop cloud native architectures using microservices and serverless computing as design principles. You’ll then explore the major pillars of cloud native design including scalability, cost optimization, security, and ways to achieve operational excellence. In the concluding chapters, you will also learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform. By the end of this book, you will have learned the techniques to adopt cloud native architectures that meet your business requirements. You will also understand the future trends and expectations of cloud providers.
Table of Contents (19 chapters)
Title Page
Packt Upsell
Foreword
Contributors
Preface
Index

Summary


In this chapter, we focused on the Microsoft Azure cloud platform in line with the CNMM model we described earlier. We started with the basics of Microsoft Azure, its brief history, and then deep into a few of its differentiating services and offerings. We then looked at the same sample serverless microservice application that we used in Chapter 9, Amazon Web Services, as well, and deployed it on Azure using Azure functions and proxies. After that, we focused on DevOps and CI/CD patterns and how those relate to both serverless and Docker container-based application models. Finally, we looked at Azure's cloud migration guidance, how it differentiates from AWS' messaging, followed by Azure Stack-related hybrid cloud aspects.

In the next chapter, we will focus on trying to understand the capabilities of Google Cloud compare and contrast it with AWS and Azure.