From the author of the vSphere Clustering Deep Dive series - The VMware vSphere 6.5 Host Resources Deep Dive is a guide to building consistent high-performing ESXi hosts. A book that people can’t put down. Written for administrators, architects, consultants, aspiring VCDX-es and people eager to learn more about the elements that control the behavior of CPU, memory, storage and network resources. This book shows that we can fundamentally and materially improve the systems we’re building. We can make the currently running ones consistently faster by deeply understanding and optimizing our systems. The reality is that specifics of the infrastructure matter. Details matter. Especially for distributed platforms which abstract resource layers, such as NSX and vSAN. Knowing your systems inside and out is the only way to be sure you’ve properly handled those details. It’s about having a passion for these details. It’s about loving the systems we build. It’s about understanding them end-to-end. This book explains the concepts and mechanisms behind the physical resource components and the VMkernel resource schedulers, which enables you to: <ul>
<li>Optimize your workload for current and future Non-Uniform Memory Access (NUMA) systems.</li> <li>Discover how vSphere Balanced Power Management takes advantage of the CPU Turbo Boost functionality, and why High Performance does not. </li> <li>How the 3-DIMMs per Channel configuration results in a 10-20% performance drop.</li> <li>How TLB works and why it is bad to disable large pages in virtualized environments.</li> <li>Why 3D XPoint is perfect for the vSAN caching tier.</li> <li>What queues are and where they live inside the end-to-end storage data paths.</li> <li>Tune VMkernel components to optimize performance for VXLAN network traffic and NFV environments.</li> <li>Why Intel's Data Plane Development Kit significantly boosts packet processing performance.</li> </ul>

VMware vSphere 6.5 Host Resources Deep Dive

Computers & Technology

Denneman, Frank

Hagoort, Niels

Networking & Cloud Computing

CreateSpace Independent Publishing Platform

The VMware vSphere 6.7 Clustering Deep Dive is the long-awaited follow-up to best seller vSphere 5.1 Clustering Deep Dive and zooms in on the critical components of every VMware based infrastructure. It provides the knowledge and expertise needed to create a cloud infrastructure based on the solid foundation of vSphere HA, vSphere DRS, vSphere Storage DRS, Storage I/O Control and Network I/O Control. It explains the concepts and mechanisms behind these features that enables you to make well-educated decisions. The book contains a stretched cluster use case section that contains all necessary settings for creating a fully-functional stretched cluster and reviews all failure scenarios and their effect on the existing workload. This book takes you into the trenches of HA, DRS, Storage DRS, SIOC and NIOC and gives you the tools to understand and implement, e.g., HA admission control policies, DRS resource pools, Datastore Clusters, network resource pools, and resource allocation settings. Each section contains basic design principles that can be used for designing, implementing or improving VMware infrastructures. Combine this book with the vSphere 6.5 Host Resource Deep Dive, and the vSAN 6.7 U1 Deep Dive, and you have an in-depth and comprehensive set of books that deliver the information you need to design and administer both vSphere and vSAN in the enterprise.Often referred to in the virtual community as the vSphere Resource kit, the Host Resources Deep Dive zooms in on hardware resources such as CPU and Memory and covers how the vSphere resource scheduler manages these. The vSAN Deep Dive discusses how to leverage local storage devices to create a shared storage platform and the Clustering Deep Dive builds on top of that and zooms in how a group of ESXi hosts work together and provide compute clustering services. Buy all three and become your organizations' private cloud superhero!

VMware vSphere 6.7 Clustering Deep Dive

Epping, Duncan

Independently published

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