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

Azure Cloud Architecture Overview for Mission-Critical Workloads

In Chapter 5, we looked at the Azure platform as a whole. In this chapter, we are going to focus on the features and services that support mission-critical workloads. Typically, these are the types of workloads that run on legacy systems, especially mainframe systems.

This chapter covers the following topics:

  • What is mission-critical?
  • Understanding Azure at a high level
  • Understanding Azure’s approach to availability and resiliency
  • Looking at Azure’s approach to IaaS
  • Discussing firewalls versus network security groups
  • Using Azure PaaS features
  • Understanding Azure features for integration
  • Understanding Azure features for backup and recovery
  • Looking at a sample Azure deployment for a mainframe workload