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Intelligent Automation with VMware
Intelligent Automation with VMware

Intelligent Automation with VMware: Apply machine learning techniques to VMware virtualization and networking

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Intelligent Automation with VMware

Section 1: VMware Approach with ML Technology

In this section, we will see how VMware is addressing the business issues related to its workforce, customers, and partners by means of emerging technology, such as machine learning, in order to create new, intelligence-driven end user experiences that accelerate productivity and responsiveness to achieve real business value with digital transformation. Readers will learn how to apply machine learning techniques incorporated in VMware solutions to their data center operations.

This section contains the following chapters:

  • Chapter 1ML Capabilities with vSphere 6.7
  • Chapter 2Proactive Measures with vSAN Advanced Analytics
  • Chapter 3Security with Workspace One Intelligence
  • Chapter 4Proactive Operations with VMware vRealize Suite
  • Chapter 5Intent-Based Manifest with AppDefense
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Key benefits

  • Add smart capabilities in VMware Workspace ONE to deliver customer insights and improve overall security
  • Optimize your HPC and big data infrastructure with the help of machine learning
  • Automate your VMware data center operations with machine learning

Description

This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today. This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences. You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products.

Who is this book for?

This book is intended for those planning, designing, and implementing the virtualization/cloud components of the Software-Defined Data Center foundational infrastructure. It helps users to put intelligence in their automation tasks to get self driving data center. It is assumed that the reader has knowledge of, and some familiarity with, virtualization concepts and related topics, including storage, security, and networking.

What you will learn

  • Orchestrate on-demand deployments based on defined policies
  • Automate away common problems and make life easier by reducing errors
  • Deliver services to end users rather than to virtual machines
  • Reduce rework in a multi-layered scalable manner in any cloud
  • Explore the centralized life cycle management of hybrid clouds
  • Use common code so you can run it across any cloud
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 30, 2019
Length: 344 pages
Edition : 1st
Language : English
ISBN-13 : 9781789802160
Vendor :
VMware

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Estimated delivery fee Deliver to Japan

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Product Details

Publication date : Mar 30, 2019
Length: 344 pages
Edition : 1st
Language : English
ISBN-13 : 9781789802160
Vendor :
VMware

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Frequently bought together


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Total $ 153.97
Mastering VMware vSphere 6.7,
$43.99
Intelligent Automation with VMware
$43.99
VMware vSphere 6.7 Data Center Design Cookbook
$65.99
Total $ 153.97 Stars icon
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Table of Contents

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

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(2 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Anuj May 15, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The author has successfully articulated , how ML technologies are used in various VMware solution to enhance customer experience and improve the performance and resiliency of datacenter center technologies.I particularly liked how VMware Skyline collects information from a customer VMware deployment and uses machine learning techniques to create an intelligent rule engine. This is used to monitor abnormal behaviours and then raise a red flag to enable proactive support.vSAN Health Check plugin is another example which is used to check the health of the vSAN cluster, its interesting to read how with the help of vSAN Observer it does in-depth monitoring of disk groups and show detailed analysis proactively to customer.
Amazon Verified review Amazon
Mark Katana Jun 10, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book was exactly what I was looking for when I came across it. Thorough and complete without being overly wordy. This book explained automating cloud in a clear and concise manner and brought me up to speed not only of the technology but the use cases as well. Highly recommend this book and author..!
Amazon Verified review Amazon
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Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
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  9. Iran
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  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela