Skip to main content

Implementation Guide for IBM Spectrum Virtualize for Public Cloud on Microsoft Azure Version 8.4.3

An IBM Redbooks publication

thumbnail 

Published on 15 March 2022

  1. .EPUB (4.0 MB)
  2. .PDF (13.8 MB)

Apple BooksGoogle Play BooksRead in Google Books Order hardcopy
Share this page:   

ISBN-10: 0738460451
ISBN-13: 9780738460451
IBM Form #: SG24-8510-00


Authors: Andrew Greenfield, Jackson Shea, Katja Kratt, Lars Dill, Leandro Torolho, Nils Olsson, Pankaj Deshpande, Sushil Sharma and Vasfi Gucer

Related video

0
    menu icon

    Abstract

    IBM® Spectrum Virtualize for Public Cloud is now available on Microsoft Azure. With IBM Spectrum® Virtualize for Public Cloud 8.4.3, users can deploy a highly available two-node cluster running IBM Spectrum Virtualize for Public Cloud on supported Microsoft Azure virtual machines (VMs). This all-inclusive, bring your own license (BYOL) software offering provides the ability to virtualize, optimize, and provision supported Azure Managed Disk to applications that require the performance of block storage in the cloud with the added efficiencies that IBM Spectrum Virtualize for Public Cloud brings to native infrastructure as a service (IaaS) that is provided by Microsoft Azure.

    This IBM Redbooks publication gives a broad understanding of the IBM Spectrum Virtualize for Public Cloud on Azure architecture. It also provides planning and implementation details of the common use cases for this new product.

    This book helps storage and networking administrators plan, implement, install, and configure the IBM Spectrum Virtualize for Public Cloud on Azure offering. It also provides valuable troubleshooting tips.

    Table of Contents

    Chapter 1. Introduction

    Chapter 2. Typical use cases for IBM Spectrum Virtualize for Public Cloud

    Chapter 3. Solution architecture

    Chapter 4. Planning an installation on Microsoft Azure

    Chapter 5. Implementing an IBM Spectrum Virtualize for Public Cloud on Microsoft Azure environment

    Chapter 6. Monitoring and supporting the solution

     

    Others who read this also read