Book Image

Azure Cloud Adoption Framework Handbook

By : Sasa Kovacevic, Darren Dempsey
Book Image

Azure Cloud Adoption Framework Handbook

By: Sasa Kovacevic, Darren Dempsey

Overview of this book

You've heard about the benefits of the cloud and you want to get on board, but you’re not sure where to start, what services to use, or how to make sure your data is safe. Making the decision to move to the cloud can be daunting and it's easy to get overwhelmed, but if you're not careful, you can easily make mistakes that cost you time and money. Azure Cloud Adoption Framework Handbook is here to help. This guide will take you step-by-step through the process of making the switch to the Microsoft Azure cloud. You’ll learn everything from foundational cloud concepts and planning workload migration through to upskilling and organization transformation. As you advance, you’ll find out how to identify and align your business goals with the most suitable cloud technology options available. The chapters are designed in a way to enable you to plan for a smooth transition, while minimizing disruption to your day-to-day operations. You’ll also discover how the cloud can help drive innovation in your business or enable modern software development practices such as microservices and CI/CD. Throughout the chapters, you’ll see how decision makers can interact with other internal stakeholders to achieve success through the power of collaboration. By the end of this book, you’ll be more informed and less overwhelmed about moving your business to the cloud.
Table of Contents (15 chapters)
1
Part 1: The Why
4
Part 2: The Plan
9
Part 3: The Execution and Iteration

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access control lists (ACLs) 70

Adopt phase, Cloud Adoption Framework (CAF) 59

innovate 59

migrate 59

agile projects

Kanban 82

Scrum 82

agility 9, 99-103

Amazon Elastic Container Registry (ECR) 80

Analytics and AI services, cloud native

Azure Cognitive Services 97

Azure Stream Analytics 97

Anomaly Detector 93

anti-patterns

to avoid 42-44

Apache Subversion (SVN) 83

Application Performance Management (APM) 16

Application Performance Monitoring (APM) 168

architectural strategy 109

architecture reviews 159, 160

evolution 160, 161

artificial intelligence (AI) models 70

availability sets 89

availability zones 89

AWS, Azure, GCP service comparison

reference link 21

Azure

evolution 161

Azure Active Directory (AAD) 93...