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

Open source software


Organizations need great skill sets to accept open source compared to traditional proprietary solutions as there's a big difference between building a solution from scratch with all integrated support and utilizing tried-and-tested vendor solutions. For many enterprises, these challenges are too daunting, and erode the value of the open source choice for them. Business strategies, investments, and many other factors come into play. In these situations, enterprises find that a commercially-supported distribution of open source solutions, or a proprietary solution, better supports their strategy. Customers build digital and online selling channels as a pillar of their go to market strategy, develop their own proprietary implementation of OpenStack aligned to the unique demands of their business use cases.

Customers have invested in the time, talent, and resources to refine OpenStack to meet their specific needs. A major sports retailer had chosen open source based solution...