Hyper-V Best Practices

About This Book

• Learn how to deploy standardized Hyper-V solutions quickly and effectively
• Leverage all virtualization potential of Hyper-V in production environments
• Use state of the art network and storage options with Hyper-V

Who This Book Is For

This book is intended for those who already have some basic experience with Hyper-V and now want to gain additional capabilities and knowledge of Hyper-V.

If you have used Hyper-V in a lab environment before and now want to close the knowledge gap to transfer your Hyper-V environment to production, this is the book for you!

What You Will Learn

• Install Hyper-V and virtual machines automated through PowerShell


• Create High Availability solutions with failover clustering


• Protect from disasters with Hyper-V Replica


• Utilize the performance and scalability of storage virtualization


• Build a flexible network infrastructure without physical boundaries


• Design performance measurement and tuning action plans


• Manage your Hyper-V stack with System Center


• Move existing virtualization workloads to Hyper-V

In Detail

Hyper-V Server and Windows Server 2012 R2 with Hyper-V provide best in class virtualization capabilities. Hyper-V is a Windows-based, very cost-effective virtualization solution with easy-to-use and well-known administrative consoles.

With an example-oriented approach, this book covers all the different guides and suggestions to configure Hyper-V and provides readers with real-world proven solutions. After applying the concepts shown in this book, your Hyper-V setup will run on a stable and validated platform.

The book begins with setting up single and multiple High Availability systems. It then takes you through all the typical infrastructure components such as storage and network, and its necessary processes such as backup and disaster recovery for optimal configuration. The book does not only show you what to do and how to plan the different scenarios, but it also provides in-depth configuration options. These scalable and automated configurations are then optimized via performance tuning and central management.