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Intelligent Automation with VMware

You're reading from   Intelligent Automation with VMware Apply machine learning techniques to VMware virtualization and networking

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802160
Length 344 pages
Edition 1st Edition
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Author (1):
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Ajit Pratap Kundan Ajit Pratap Kundan
Author Profile Icon Ajit Pratap Kundan
Ajit Pratap Kundan
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Toc

Table of Contents (19) Chapters Close

Preface Section 1: VMware Approach with ML Technology FREE CHAPTER
Machine Learning Capabilities with vSphere 6.7 Proactive Measures with vSAN Advanced Analytics Security with Workspace ONE Intelligence Proactive Operations with VMware vRealize Suite Intent-Based Manifest with AppDefense Section 2: ML Use Cases with VMware Solutions
ML-Based Intelligent Log Management ML as a Service in the Cloud ML-Based Rule Engine with Skyline DevOps with vRealize Code Stream Transforming VMware IT Operations Using ML Section 3: Dealing with Big Data, HPC , IoT, and Coud Application Scalability through ML
Network Transformation with IoT Virtualizing Big Data on vSphere Cloud Application Scaling High-Performance Computing Other Books You May Enjoy

Section 3: Dealing with Big Data, HPC , IoT, and Coud Application Scalability through ML

The new vSphere Scale-Out edition is specifically designed for running high-performance computing (HPC) and big data workloads. We have to ensure that HPC and big data performance and other requirements can be met either by development or by fine-tuning guidelines with our mainstream products. This vSphere edition comes with a feature set that has been adjusted to align with these two Scale-Out workload types, HPC and big data, and at a competitive cost. It packages all the core vSphere features required for big data and HPC workloads and is sold in packs of 8 CPUs. Key features included in the vSphere Scale-Out edition include ESXi hypervisor, vMotion, Storage vMotion, Host Profiles, Auto Deploy, and Distributed Switch.

This section contains the following chapters:

  • Chapter 11,...
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