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Hyper-V 2016 Best Practices

Hyper-V 2016 Best Practices

By : Serre, Benedict Berger
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Hyper-V 2016 Best Practices

Hyper-V 2016 Best Practices

5 (2)
By: Serre, Benedict Berger

Overview of this book

Hyper-V Server and Windows Server 2016 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. This book will assist you in designing, implementing, and managing highly effective and highly available Hyper-V infrastructures. With an example-oriented approach, this book covers all the different tips and suggestions to configure Hyper-V and provides readers with real-world proven solutions. This book begins by deploying single clusters of High Availability Hyper-V systems including the new Nano Server. This is followed by steps to configure the Hyper-V infrastructure components such as storage and network. It also touches on 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 ensuring your applications are always the best they can be.
Table of Contents (10 chapters)
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Failover cluster prerequirements

To successfully implement a Hyper-V Failover Cluster, we need suitable hardware, software, permissions, and network and storage infrastructure as outlined in the following sections.

Hardware requirements

The hardware used in a Failover Cluster environment needs to be validated against the Windows Server Catalog, as we did in Chapter 1, Accelerating Hyper-V Deployment. Microsoft will only support Hyper-V clusters when all components are certified for Windows Server 2016.

The servers used to run our HA virtual machines should ideally consist of identical hardware models with identical components. It is possible, and supported, to run servers in the same cluster with different hardware components, that is, with different sizes of RAM; however, due to a higher level of complexity, this is not the best practice.

Special planning considerations are needed to address the CPU requirements of a cluster. To ensure maximum compatibility, all CPUs in a cluster should be...

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