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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

6. Moving workloads to SQL Server on Azure Virtual Machines

In the previous chapters, we covered the core elements of running Microsoft SQL Server in Azure VMs. Now that we understand how to provision and configure our VMs, we will move our on-premises workloads to the cloud.

Moving on-premises workloads directly to Azure can be daunting. However, by making use of Azure Virtual Machines (VMs), we can fully realize the potential of cloud-based agility and versatility without needing to re-engineer our applications. This approach also helps us when we face challenges such as refreshing aging hardware or upgrading to supported SQL Server versions. What historically could have taken months to plan and execute with high up-front spending, can now be handled without the initial expense in a much shorter timeline.

We have two main options for handling the migration process to Azure VMs. We can tune the workload ahead of moving it to the cloud, which can prove to...

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