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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

vSAN policy design with SPBM

The storage class definition in vSphere maps to policies that are defined through vSAN SPBM to achieve different levels of service level agreements (SLAs) and quality of service (QoS), and can leverage these benefits from advanced vSAN data service functionalities such as de-duplication, compression, and checksums. Using general policies is advisable if no specific use cases exist.

Start by assessing the following different application requirements:

  • I/O performance and the profile of your workloads on a per-virtual-disk basis
  • Working sets of your workloads
  • Hot-add (feature of vSphere) of additional cache requires re-population of the cache
  • Specific application best practices, such as block size

Defining a policy based on business objectives

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