Book Image

Modernizing Legacy Applications to Microsoft Azure

By : Steve Read, Larry Mead
Book Image

Modernizing Legacy Applications to Microsoft Azure

By: Steve Read, Larry Mead

Overview of this book

Organizations have varying circumstances, objectives, and prerequisites when contemplating a hyper-scale cloud solution transformation to a platform such as Azure. Modernizing Legacy Applications to Microsoft Azure uncovers potential scenarios and provides choices, methodologies, techniques, and prospective possibilities for transitioning from legacy applications to the Microsoft Azure environment. You’ll start by understanding the legacy systems and the main concerns regarding migration. Then, you’ll investigate why distributed architectures are compelling and the various components of the Azure platform needed during migration. After that, you’ll explore the approaches to modernizing legacy applications and the Rs of modernizing (i.e., rehost, refactor, rearchitect, and retire). You’ll also learn about integration approaches and potential pitfalls. By the end of this book, you’ll be well equipped to modernize your legacy workloads while being aware of pitfalls and best practices.
Table of Contents (18 chapters)
1
Part 1: Legacy Estate Options
3
Chapter 2: Strategies for Modernizing IBM and Unisys Mainframes
6
Part 2: Architecture Options
10
Part 3: Azure Deployment and Future Considerations

Looking at cloud native, serverless computing, and microservices

There are quite a few terms being used these days in regard to public cloud platforms. I would like to address three that are very prominent right now: cloud native, serverless, and microservices. You will hear these terms pop up in various conversations referring to architectures and methodologies. I’d like to provide some clarification on these since they are quite often conflated with other terms and it helps to know what someone is actually meaning when they use these terms. Let’s explore them now:

  • Cloud native: Cloud native is a somewhat generic term used to describe an architecture that leverages cloud-based services. The distinction to be drawn here is that IaaS-based services such as VMs are not used or used very little. The benefit for the developers and IT staff is that it gets them out of the care and feeding of things such as the operating system and foundation services such as a database...