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Intelligent Automation with VMware

You're reading from   Intelligent Automation with VMware Apply machine learning techniques to VMware virtualization and networking

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802160
Length 344 pages
Edition 1st Edition
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Author (1):
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Ajit Pratap Kundan Ajit Pratap Kundan
Author Profile Icon Ajit Pratap Kundan
Ajit Pratap Kundan
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Toc

Table of Contents (19) Chapters Close

Preface Section 1: VMware Approach with ML Technology FREE CHAPTER
Machine Learning Capabilities with vSphere 6.7 Proactive Measures with vSAN Advanced Analytics Security with Workspace ONE Intelligence Proactive Operations with VMware vRealize Suite Intent-Based Manifest with AppDefense Section 2: ML Use Cases with VMware Solutions
ML-Based Intelligent Log Management ML as a Service in the Cloud ML-Based Rule Engine with Skyline DevOps with vRealize Code Stream Transforming VMware IT Operations Using ML Section 3: Dealing with Big Data, HPC , IoT, and Coud Application Scalability through ML
Network Transformation with IoT Virtualizing Big Data on vSphere Cloud Application Scaling High-Performance Computing Other Books You May Enjoy

Summary

Digital transformation has the potential to revolutionize the way that governments connect with citizens/constituents, protect sensitive information, and achieve the organization's mission. Yet revolutionizing the business of the government is a complex task. Primary obstacles include siloed legacy systems, applications, and processes; funding and talent shortages; complex procurement processes; and cultural dissonance. Despite these universal challenges, government leaders recognize that digital transformation is necessary to serve the public in the digital age. VMware AppDefense helps to strengthen data security across infrastructure and endpoints, protecting sensitive citizen data and privacy by reducing cybersecurity risks. 

In the next chapter, Chapter 6,  ML-Based Intelligent Log Management, you will learn about how vRealize tools can...

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