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

AppDefense and NSX


AppDefense shield applications run in vSphere environments and various cloud environments. NSX and AppDefense complement each other, but NSX is not mandatory for AppDefense services. If AppDefense is integrated with NSX, automated response techniques like automatically quarantine a compromised data center endpoint can be leveraged. AppDefense is outstanding in a new security model which has a native, purpose-based, and application-centric approach. AppDefense will do the same job for compute that NSX does for the network, by creating least-privilege environments for business applications. We can monitor running applications against their desired states and can investigate them with an automated response to attacks that try to exploit applications.

AppDefense is distinctive, as it is located in the hypervisor kernel to better interpret the desired state and conduct of a data center endpoint. It monitors endpoints in real time for unapproved changes from the known correct...