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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

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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8
Index

SQL Server performance in Azure VMs

Many customers are concerned about how their critical workloads will perform after migrating to the public cloud. Given the multitude of VM types available within Azure, there is an extremely wide range of performance options. You can build a VM that's as small as 1 CPU and 0.75 GB of RAM all the way to 416 vCPUs and 12 TB of memory. Beyond that, each VM has a specific limit on storage and network bandwidth and the number of IOPS that the VM can perform. It is important when you are planning a migration to monitor your on-premises workloads so that you can make your Azure footprint the right size. This is particularly important for a relational database management system (RDBMS) such as SQL Server, which is I/O and memory intensive and does not offer easy horizontal scale options such as a web or application tier. Typically, if you have to increase the performance of SQL Server, you have two choices: purchase more hardware or optimize your queries...

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