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SQL Server on Azure Virtual Machines
SQL Server on Azure Virtual Machines

SQL Server on Azure Virtual Machines: A hands-on guide to provisioning Microsoft SQL Server on Azure VMs

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Profile Icon Joey D'Antoni Profile Icon Randolph West Profile Icon Tim Radney Profile Icon Anthony Nocentino Profile Icon John Martin Profile Icon Allan Hirt Profile Icon Louis Davidson +3 more Show less
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Arrow left icon
Profile Icon Joey D'Antoni Profile Icon Randolph West Profile Icon Tim Radney Profile Icon Anthony Nocentino Profile Icon John Martin Profile Icon Allan Hirt Profile Icon Louis Davidson +3 more Show less
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€41.99
Paperback Jun 2020 200 pages 1st Edition
eBook
€22.99 €32.99
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Free Trial
Renews at €18.99p/m
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€22.99 €32.99
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SQL Server on Azure Virtual Machines

2. Getting started with SQL Server on Azure Virtual Machines

Virtual machines (VMs) are the core of all infrastructure-as-a-service (IaaS) deployments. A VM in Azure is similar to a VM premises using a hypervisor. The main difference is that Microsoft maintains the hypervisor and its related infrastructure in Azure. A VM also means that whether you choose to have Microsoft manage selected administration tasks, such as backups, or you perform those tasks yourself, it is still an operating system (Windows Server or a distribution of Linux) and installation of SQL Server that needs to be administered, maintained, patched, made available, and so on.

This chapter will help you understand why you should consider IaaS and covers how to approach choosing the right virtual hardware for a VM with SQL Server in Azure.

The benefits of deploying SQL Server using IaaS

Besides IaaS, there is another deployment method for SQL Server: platform-as-a-service (PaaS). Azure SQL Database, or Azure SQL Managed Instance, is PaaS. With PaaS, there is no operating system (OS) or SQL Server instance you need to manage, which includes things such as patching. All of that is done for you. Where that does not work for some is that you may need control over the OS and/or SQL Server choices (version or edition) due to standards, licensing, or other requirements. PaaS provides a more packaged solution that fits the needs of many without needing a dedicated OS and SQL Server instance.

Since IaaS is just a VM with an OS, you can deploy whatever supported combination of OS and SQL Server you desire. One principal difference between IaaS and PaaS is that any automatic administration you would want done by Microsoft is opt-in, whereas PaaS is done for you and you have limited configuration choices. One important reason...

Deployment choices for IaaS

This section will cover the different ways in which you can deploy a VM in Azure, along with considerations and best practices that are applicable no matter which method is used, as well as briefly talk about licensing SQL Server in Azure.

Deployment methods

There are three options for deploying a VM in Azure for use with SQL Server:

  • Choose a pre-built template, also known as an image, with SQL Server already installed.
  • Choose a template with the OS but without SQL Server installed, which will be done after the VM is built.
  • Build a custom image using a virtual hard drive and upload it to Azure.

No matter which of the three deployment methods you choose, you can deploy using Cloud Shell (Bash or PowerShell)6, also known as the Azure command-line interface (CLI), Azure portal7, Azure Resource Manager templates8 that are written in JSON, and the Azure PowerShell module9. Builds can be automated and incorporated into DevOps processes...

Azure VM hardware options

VMs have a virtualized processor, memory, and storage. Processor and memory factor into the VM type and its choice of size. Storage is influenced by the VM type and size, but has its own parameters. This section will introduce the basics of VM types, sizes, and storage. Performance will be touched upon as this is a crucial element of configuring a VM and will be discussed further in Chapter 5, Performance.

VM types and sizes

This section will contain information about the different types and sizes of IaaS VMs available in Azure.

VM types and series

VMs in Azure come in different types and sizes. Within each major VM type, the size maps to what is known as a series, such as D, E, and G. Each series has different sizes with different specifications. The following table lists the different VM types and their purpose:

Different virtual machinetypes with their preferred usage
Figure 2.8: Different VM types with their recommended usage

VM resources can be reserved and guaranteed...

Summary

Choosing a VM type, size, and its associated virtual hardware is no different to planning and deploying a physical server or VM on-premises. You have to account for CPU, memory, networking, and storage. While this chapter covered the basics of deploying an IaaS-based VM for SQL Server in Azure, there are many more considerations, such as availability and security, that must also be considered as part of an overall solution. Subsequent chapters will discuss those topics and more.

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Key benefits

  • Understand platform availability for SQL Server in Azure
  • Explore the benefits and deployment choices offered by SQL IaaS
  • Get to grips with deploying SQL Server on the Linux development ecosystem

Description

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.

Who is this book for?

SQL Server on Azure VMs is for you if you are a developer, data enthusiast, or anyone who wants to migrate SQL Server databases to Azure virtual machines. Basic familiarity with SQL Server and managed identities for Azure resources will be a plus.

What you will learn

  • Choose an operating system for SQL Server in Azure VMs
  • Use the Azure Management Portal to facilitate the deployment process
  • Verify connectivity and network latency in cloud
  • Configure storage for optimal performance and connectivity
  • Explore various disaster recovery options for SQL Server in Azure
  • Optimize SQL Server on Linux
  • Discover how to back up databases to a URL
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Table of Contents

8 Chapters
1. Introduction to SQL Server on Azure Virtual Machines Chevron down icon Chevron up icon
2. Getting started with SQL Server on Azure Virtual Machines Chevron down icon Chevron up icon
3. Hero capabilities of SQL Server on Azure Virtual Machines Chevron down icon Chevron up icon
4. SQL Server on Linux in Azure Virtual Machines Chevron down icon Chevron up icon
5. Performance Chevron down icon Chevron up icon
6. Moving workloads to SQL Server on Azure Virtual Machines Chevron down icon Chevron up icon
7. Hybrid scenarios (Microsoft SQL IaaS) Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela