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

Summary


Code Stream provides the ability to model and visualize the release process of any type of software (applications, blueprints, workflows, configuration files, Puppet manifests, Chef recipes, and so on). All stakeholders (devs, operations teams, release engineers, and so on) can go to a central place to track the state of application and software releases. Users can view not just the history but exactly where builds and releases have failed. Code Stream and vRA use the same delivery platform (the same virtual appliance) and share many common services, including capturing release processes that IT is struggling with or spending a lot of time on, and automating those via vRCS and vRA.

As opposed to acquiring, integrating, and managing different solutions for provisioning and release automation, customers can benefit from a single solution. By integrating with artifact repositories such as JFrog Artifactory, Code Stream can manage and track the multiple artifact versions that are generated...