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

Areas of modernization innovation for Azure

We’ve discussed several areas where we see innovation coming in the near and long term. Additionally, we think it is important to look at what Azure offers today, and how these may evolve in the future.

OpenAI and ChatGPT

As discussed in the previous section, Microsoft is committed to furthering OpenAI and ChatGPT in many different areas. One area, in particular, is modernizing legacy source code such as COBOL. Tools such as GitHub Copilot can incorporate OpenAI capabilities to streamline the modernization process.

Azure Arc

Azure Arc provides a method to manage resources, such as compute and data, across several different estates. This includes legacy environments and data, as well as other cloud environments. Azure Arc uses an agent that can be deployed in other environments that allow those environments to be managed in Arc. This kind of capability will make the transition from legacy systems to Azure more seamless since...