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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

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...

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