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  • Intelligent Automation with VMware
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Intelligent Automation with VMware

Intelligent Automation with VMware

By : Kundan
5 (2)
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Intelligent Automation with VMware

Intelligent Automation with VMware

5 (2)
By: Kundan

Overview of this book

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.
Table of Contents (19 chapters)
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Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Section 1: VMware Approach with ML Technology
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Section 1: VMware Approach with ML Technology
2
Machine Learning Capabilities with vSphere 6.7
Machine Learning Capabilities with vSphere 6.7
Technical requirements
ML and VMware
Modes of GPU usage
ML with NVIDIA GPUs
Summary
Further reading
3
Proactive Measures with vSAN Advanced Analytics
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
4
Security with Workspace ONE Intelligence
Security with Workspace ONE Intelligence
Technical requirements
Workspace ONE Intelligence
Workspace ONE Trust Network
Summary
5
Proactive Operations with VMware vRealize Suite
Proactive Operations with VMware vRealize Suite
Technical requirements
Unified end-to-end monitoring
SDDC journey stages
VMware Cloud on AWS
Summary
Further reading
6
Intent-Based Manifest with AppDefense
Intent-Based Manifest with AppDefense
Technical requirements
VMware innovation for application security
Application-centric alerting for the SOC
AppDefense and NSX
Summary
7
Section 2: ML Use Cases with VMware Solutions
Section 2: ML Use Cases with VMware Solutions
8
ML-Based Intelligent Log Management
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
9
ML as a Service in the Cloud
ML as a Service in the Cloud
Technical requirements
MLaaS in a private cloud
LBaaS overview
Challenges with network and security services 
Summary
10
ML-Based Rule Engine with Skyline
ML-Based Rule Engine with Skyline
Technical requirements
Proactive support technology – VMware Skyline 
Overview of Skyline Collector 
CEIP
Summary
11
DevOps with vRealize Code Stream
DevOps with vRealize Code Stream
Technical requirements
Application development life cycles
Automation with vRealize
vRealize Code Stream
Summary
Further reading
12
Transforming VMware IT Operations Using ML
Transforming VMware IT Operations Using ML
Overview on business and operations challenges
Transforming VMware technical support operations
Virtual data centers
Summary
13
Section 3: Dealing with Big Data, HPC , IoT, and Coud Application Scalability through ML
Section 3: Dealing with Big Data, HPC , IoT, and Coud Application Scalability through ML
14
Network Transformation with IoT
Network Transformation with IoT
Technical requirements
IoT
VMware Pulse
Pulse IoT Center infrastructure management blueprint
Summary
15
Virtualizing Big Data on vSphere
Virtualizing Big Data on vSphere
Technical requirements
Big data infrastructure
Open source software
Summary
Further reading
16
Cloud Application Scaling
Cloud Application Scaling
Technical requirements
Cloud-native applications
PKS on vSphere
Summary
17
High-Performance Computing
High-Performance Computing
Technical requirements
Virtualizing HPC applications
Summary
18
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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 1, ML Capabilities with vSphere 6.7
  • Chapter 2, Proactive Measures with vSAN Advanced Analytics
  • Chapter 3, Security with Workspace One Intelligence
  • Chapter 4, Proactive Operations with VMware vRealize Suite
  • Chapter 5, Intent-Based Manifest with AppDefense
End of Chapter 1
Next Chapter
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