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

SDDC journey stages


VMware defines the following journey stages toward SDDC:

  • Cost center: IT operates as a cost center. The focus is on reducing costs through CapEx and OpEx savings by improving IT efficiency with uniform  anarchitecture and by virtualizing the infrastructure.
  • Service provider: IT becomes a service provider by delivering secure, highly-available, and resilient IT services that meet business demands and service-level requirements.
  • Business partner: IT transforms to become a business partner by automating the delivery of infrastructure and application, resulting in faster delivery times and more responsive IT, enabling a quicker time to market.

There are three stages of capability maturity for this data center virtualization and standardization: 

  • Compute virtualization, virtualization for business critical apps, big-data application support
  • Software-defined storage, network virtualization, extension to hybrid cloud, data center migration
  • Management across hybrid, heterogeneous data...