Book Image

Intelligent Automation with VMware

By : Ajit Pratap Kundan
Book Image

Intelligent Automation with VMware

By: Ajit Pratap 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 (20 chapters)
Title Page
About Packt
Contributors
Preface
Index

Overview on business and operations challenges


We're trying to drive application management transformation to make life easier with VMware solutions. We may be experiencing many of the issues that come with managing apps, such as legacy provisioning, complex and lengthy updates, and having to manage separate solutions for app delivery. VMware is taking a different approach to managing applications. We have methods where we can provision one app to many desktops, thereby saving considerable time and storage costs. We can deliver apps in seconds and at scale. We can isolate apps to remove the app conflict barrier. Apps can then be consumed on any device and on one portal. We can even transform the way you monitor your applications for better performance.

VMware Cloud operations and stakeholders want to analyze the consumption of the on-premise private cloud infrastructure services in relation to their customer's different functional groups to determine the current trend, future demand, and...