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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

PKS on vSphere

vSphere cluster groups are sets of ESXi hosts that have a common compute entity; there are from 2 to 64 hosts per vSphere cluster when vSphere HA and DRS are activated at the cluster level. Resource pools are created under a vSphere cluster instance, and vCenter is able to manage multiple vSphere clusters instances, as there is no hard limit to the number of vSphere clusters. We can create different types of vSphere clusters, such as management clusters, compute clusters, and Edge clusters, since PKS fully leverages the vSphere cluster construct.

The following vSphere clusters are recommended in a typical PKS deployment:

  • Management cluster:
    • Hosted components: vCenter, NSX manager, and controller VMs
    • vSphere HA and DRS enabled
    • ESXi hosts need to be NSX prepared, as micro-segmentation is enforced on the hosted VMs
  • Compute cluster(s):
    • Hosted components: Kubernetes...
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