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

Summary

In this chapter, we introduced the open-source development ecosystem around SQL Server on Linux and how SQL Server can help add business value to applications. We introduced the tools available for you to build and manage your data estate in Azure, including the Azure CLI and Azure Data Studio. We then looked at the platforms available to run SQL Server on Linux in Azure and some of the decision points to focus on when selecting your application's platform. We then wrapped things up with a discussion of some of the most common Azure services that can be used to build a data platform in Azure. With that, let's move on to the next chapter, which will focus on the performance of SQL Server, best practices, and how you can optimize workloads running in SQL Server on Linux in Azure.