The VMware operation team have created templates for all of their applications, alongside their configurations, through vRA. This automation tool minimizes the end-to end application provisioning time from a few weeks down to 36 hours. We are able to enhance the whole cycle to less than 24 hours after the first year. Automation will help not only in quick provisioning but also in maintaining consistency in repeated tasks. We can build development and test labs rapidly with automated, predefined policies, and so we avoid any human errors. VMware engineers can now use their time for new developments and help their operation team to be more agile. Employees can initiate and execute their tasks through a self-service portal. This means that applications are provisioned in a few hours and so the development team have more time for new projects. This enhances the efficiency...
Intelligent Automation with VMware
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Intelligent Automation with VMware
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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 (19 chapters)
Preface
Free Chapter
Section 1: VMware Approach with ML Technology
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
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