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SQL Server on Azure Virtual Machines

SQL Server on Azure Virtual Machines

By : Joey D'Antoni, Louis Davidson, Allan Hirt , John Martin, Anthony Nocentino, Tim Radney, Randolph West
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SQL Server on Azure Virtual Machines

SQL Server on Azure Virtual Machines

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

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)
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Preface
Preface
About SQL Server on Azure Virtual Machines
1
1. Introduction to SQL Server on Azure Virtual Machines
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Introduction
The Azure SQL portfolio
SQL Server 2019 highlights
SQL Server IaaS scenarios and use cases
Choosing an OS for SQL Server in Azure VMs
Summary
Chapter links
Free Chapter
2
2. Getting started with SQL Server on Azure Virtual Machines
2. Getting started with SQL Server on Azure Virtual Machines
The benefits of deploying SQL Server using IaaS
Deployment choices for IaaS
Azure VM hardware options
Summary
Chapter links
3
3. Hero capabilities of SQL Server on Azure Virtual Machines
3. Hero capabilities of SQL Server on Azure Virtual Machines
Understanding platform availability in Azure
Disaster recovery options for SQL Server in Azure
SQL Server performance in Azure VMs
Security concepts
Summary
Chapter links
4
4. SQL Server on Linux in Azure Virtual Machines
4. SQL Server on Linux in Azure Virtual Machines
SQL Server on the Linux development ecosystem
Platform deployment and management for SQL Server in Azure
Supported base operating systems for running SQL Server on Linux in Azure IaaS VMs
So many choices: which platform should you choose?
Summary
Chapter links
5
5. Performance
5. Performance
Performance best practices
How to optimize SQL Server on Linux
Azure BlobCache
Summary
Chapter links
6
6. Moving workloads to SQL Server on Azure Virtual Machines
6. Moving workloads to SQL Server on Azure Virtual Machines
Migration tools and best practices
Application considerations
Reporting in the cloud—Power BI
Summary
Chapter links
7
7. Hybrid scenarios (Microsoft SQL IaaS)
7. Hybrid scenarios (Microsoft SQL IaaS)
What is Azure Hybrid Benefit?
What is disaster recovery?
Backing up databases to a URL
Use cases for SQL Server on Azure VMs
Hybrid scenarios
Summary
Chapter links
8
Index
Index
Appendix A
SQL Server Configuration with OLTP

Summary

In this chapter, we looked at SQL Server 2019 and the various Azure SQL offerings that are available to deploy your data. There are multiple models available, from a very managed PaaS service such as Azure SQL Database, to the manual-lite managed instance, to the manual and customizable IaaS-based Azure SQL VM. The rest of this book will focus on SQL Server on an Azure VM, whether on Windows or Linux.

SQL Server 2019 on Linux provides customers with a choice of platform, allowing them to tailor SQL Server to the needs of their personnel where much of their software is run on the Linux open-source OS. SQL Server is not itself open source, but Microsoft is embracing the OSS community like never before.

In the next chapter, we will look at the different options for deploying a VM on Azure for SQL Server. Choices such as series of VM, storage types, and installation will be covered, taking into consideration the different workload types that may need to be supported.

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