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

Kundan

₱1256.99 ~~₱1796.99~~

5 (2 Ratings)

eBook Mar 2019 344 pages 1st Edition

eBook

₱1256.99 ~~₱1796.99~~

Kundan

₱1256.99 ~~₱1796.99~~

5 (2 Ratings)

eBook Mar 2019 344 pages 1st Edition

eBook

₱1256.99 ~~₱1796.99~~

₱1256.99 ~~₱1796.99~~

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

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View table of contents Preview Book Download Code

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Mar 30, 2019

Length: 344 pages

Edition : 1st

Language : English

ISBN-13 : 9781789806793

Vendor :

VMware

Category :

Cloud & Networking

Concepts :

Cloud Computing

Tools :

VMware vRealize

Frequently bought together

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18 Chapters

Section 1: VMware Approach with ML Technology

Machine Learning Capabilities with vSphere 6.7

Technical requirements

Proactive Measures with vSAN Advanced Analytics

Technical requirements

Application scalability on vSAN

Intelligent monitoring

HA configuration in stretched clusters

vSAN policy design with SPBM

Summary

Further reading

Security with Workspace ONE Intelligence

Technical requirements

Workspace ONE Intelligence

Workspace ONE Trust Network

Summary

Proactive Operations with VMware vRealize Suite

Technical requirements

Unified end-to-end monitoring

Intent-Based Manifest with AppDefense

Technical requirements

VMware innovation for application security

Application-centric alerting for the SOC

AppDefense and NSX

Summary

Section 2: ML Use Cases with VMware Solutions

ML-Based Intelligent Log Management

Technical requirements

Intelligent log management with vRealize Log Insight

Cloud operations stages

The Log Insight user interface

VMware vReaIize Network Insight

Summary

ML as a Service in the Cloud

Technical requirements

MLaaS in a private cloud

LBaaS overview

Challenges with network and security services

Summary

ML-Based Rule Engine with Skyline

Technical requirements

Proactive support technology – VMware Skyline

Overview of Skyline Collector

CEIP

Summary

DevOps with vRealize Code Stream

Technical requirements

Application development life cycles

Automation with vRealize

vRealize Code Stream

Summary

Further reading

Transforming VMware IT Operations Using ML

Overview on business and operations challenges

Transforming VMware technical support operations

Virtual data centers

Summary

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

Network Transformation with IoT

Technical requirements

IoT

VMware Pulse

Pulse IoT Center infrastructure management blueprint

Summary

Virtualizing Big Data on vSphere

Technical requirements

Big data infrastructure

Open source software

Summary

Further reading

Cloud Application Scaling

Technical requirements

Cloud-native applications

PKS on vSphere

Summary

High-Performance Computing

Technical requirements

Virtualizing HPC applications

Summary

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Customer reviews

Rating distribution

(2 Ratings)

5 star 100%

4 star 0%

3 star 0%

2 star 0%

1 star 0%

Mark Katana Jun 10, 2019

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

Anuj May 15, 2019

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

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About the author

Kundan

Ajit Pratap Kundan stands at the leading edge of the most innovative cloud technology in the world. He has helped position VMware as a leader in the private cloud area in relation to his federal government customers through an SDDC approach. An innovative techy with 18+ years of industry experience, he has promoted technologies to his government and defense customers. Ajit is a valued writer on cloud technologies and has authored one book, VMware Cross-Cloud Architecture, published by Packt. He currently resides in Delhi, India, with his wife, Archana, and their two sons, Aaradhya and Akshansh.

See other products by Kundan

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

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