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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

Pulse IoT Center infrastructure management blueprint

The OVA is basically a vApp that contains three virtual machines (VMs) that run the Ubuntu server. The VMs are named, by default, as follows:

  • mqttbroker: This has the EMQTT broker from http://emqtt.io installed
  • iceapi: This has the VWware Pulse IoT API and PostgreSQL pre-installed
  • iceconsole: This has VMware Pulse IoT Console with all dependencies

During deployment, the OVAs will need some application-specific properties to help initialize itself. These properties are basically used to configure the applications in each of the VMs. 

Deploying and configuring the OVA

The OVA can be deployed through vSphere using the Deploy OVF Template from the vSphere UI...

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