Book Image

SQL Server on Azure Virtual Machines

By : Joey D'Antoni, Louis Davidson, Allan Hirt, John Martin, Anthony Nocentino, Tim Radney, Randolph West
Book Image

SQL Server on Azure Virtual Machines

By: Joey D'Antoni, Louis Davidson, Allan Hirt, John Martin, Anthony Nocentino, Tim Radney, Randolph West

Overview of this book

Deploying SQL Server on Azure virtual machines allows you to work on full versions of SQL Server in the cloud without having to maintain on-premises hardware. The book begins by introducing you to the SQL portfolio in Azure and takes you through SQL Server IaaS scenarios, before explaining the factors that you need to consider while choosing an OS for SQL Server in Azure VMs. As you progress through the book, you'll explore different VM options and deployment choices for IaaS and understand platform availability, migration tools, and best practices in Azure. In later chapters, you'll learn how to configure storage to achieve optimized performance. Finally, you'll get to grips with the concept of Azure Hybrid Benefit and find out how you can use it to maximize the value of your existing on-premises SQL Server. By the end of this book, you'll be proficient in administering SQL Server on Microsoft Azure and leveraging the tools required for its deployment.
Table of Contents (10 chapters)
8
Index

7. Hybrid scenarios (Microsoft SQL IaaS)

This final chapter builds on what you've learned in the previous six chapters and discusses the various ways in which you can develop a hybrid environment, leveraging Azure services to complement your on-premises SQL Server environment.

We will explore several Azure licensing and technical offerings, including Azure Hybrid Benefit and Backup to URL. We will discuss the basic principles of disaster recovery, and then provide use cases for Azure VMs running SQL Server on Windows and Linux, known as infrastructure as a service (IaaS). We'll also cover the ways you can keep a workload in sync between your on-premises and Azure environments, and how these relate back to scalability, migration, and disaster recovery scenarios. We’ll finish with a summary of the chapter.