Ajit Pratap Kundan - Intelligent Automation with VMware: Apply machine learning techniques to VMware virtualization and networking

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First published: March 2019

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Ajit Pratap Kundan stands at the leading edge of the most innovative cloud technology in the world. He has helped position VMware as a leader in the private cloud area in relation to his federal government customers through an SDDC approach. An innovative techy with 18+ years of industry experience, he has promoted technologies to his government and defense customers.

Ajit is a valued writer on cloud technologies and has authored one book, VMware Cross-Cloud Architecture, published by Packt. He currently resides in Delhi, India, with his wife, Archana, and their two sons, Aaradhya and Akshansh.

James Bowling is a cloud infrastructure architect/engineer, VCIX-DCV/CMA, VCP-DTM, VMware vExpert (x7), Cisco Champion Datacenter(x3), EMC Elect(x2), DFW VMUG Leader, and virtualization enthusiast located in Dallas, Texas, with over 18 years' experience. His experience ranges from designing, deploying, and maintaining virtualized infrastructures, while utilizing different types of technology, to automation and scaling resources.

He also maintains a personal blog focusing on virtualization, vSential (dot) com.

He has spoken at the following events:

• Veeam User Group
• Veeam Whiteboard Friday
• VMware User Group (VMUG)
• VMworld (US/EMEA)
• Interop Las Vegas (Virtualization and Data Center Architecture Track Chair)

Martin Gavanda has more than 10 years' experience, mainly in connection with service providers offering IaaS solutions based on VMware vSphere products. He was responsible for the design and implementation of IaaS solutions in the Central Europe region.

Currently, he is working as an independent cloud architect, focusing on large infrastructure projects and practicing as a VMware instructor. For the past year, he has led more than a dozen on-site VMware workshops. He has created several virtual classes focusing on the VMware vSphere platform, with thousands of students subscribed, and he runs his own blog regarding virtualization and the cloud.

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This book presents an introductory perspective on how machine learning (ML) plays an important role in the VMware environment. It offers a basic understanding of how to leverage ML primitives, along with a deeper look into integration with VMware tools that are used for automation purposes today.

This book is intended for those planning, designing, and implementing the virtualization/cloud components of the Software-Defined Data Center foundational infrastructure. It helps users to put intelligence in their automation tasks to get self driving data center. It is assumed that the reader has knowledge of, and some familiarity with, virtualization concepts and related topics, including storage, security, and networking.

, Machine Learning Capabilities with vSphere 6.7, covers performance benchmarking on ML-based applications using GPUs in vSphere environment to support different customer business objectives.

, Proactive Measures with vSAN Advanced Analytics, explains how to improve the support experience for HCI environments, which will help customers maintain performance by rapidly resolving issues and minimizing downtime by means of proactive telemetry capabilities from vSAN Support Insight advanced analytics.