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 Azure’s approach to IaaS

When you are migrating legacy applications to Azure, IaaS is often considered the first step. This is usually because migrating the existing workloads involves the least amount of risk, but not always. Whether you are rehosting or refactoring, IaaS can offer some benefits when it comes to the first step in your modernization journey.

For some organizations that are modernizing application workloads, the steps of the journey look like this:

  1. Rehost or refactor to Azure VMs.
  2. Modernize to cloud-native services where it makes sense.

This is often a good approach for modernization because it allows you to leverage the other benefits of Azure, such as its analytics platform, and also lets you say goodbye to your expensive legacy hardware.

Looking at IaaS for data

With only a few exceptions, you can deploy any x86-based database into an Azure VM. Good examples of this are Microsoft SQL Server, IBM DB2, and Oracle DB, as...