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)
Part 1: Legacy Estate Options
Chapter 2: Strategies for Modernizing IBM and Unisys Mainframes
Part 2: Architecture Options
Part 3: Azure Deployment and Future Considerations

Azure Stack

If there is no Azure Region near you, or perhaps for technical or compliance reasons you want to have a local implementation of Azure, you need to look into Azure Stack. Azure Stack is a local implementation of Azure that you can deploy in your own data center. Keep in mind, however, that the services available on Azure Stack are a subset of the services available in the public cloud offering. Having said that, you can leverage the majority of the IaaS and PaaS services. This might be a good solution if you want to minimize latency between applications running in Azure and your mainframe installation.

Azure Stack comes in three separate offerings, as follows:

  • Azure Stack Edge: Azure Stack Edge is designed primarily for Internet of Things (IoT) and edge AI-type workloads. It employs hardware-accelerated machine learning (ML) for fast analysis at edge locations.
  • Azure Stack HCI: This offering provides a hyperconverged hybrid solution that is integrated into...