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

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

by Andrew Greenfield, Jackson Shea, Katja Kratt, Lars Dill, Leandro Torolho, Nils Olsson, Pankaj Deshpande, Sushil Sharma, Vasfi Gucer
Released March 2022
Publisher(s): IBM Redbooks
ISBN: 9780738460451

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Book description

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

  1. Front cover
  2. Notices
    1. Trademarks
  3. Preface
    1. Authors
    2. Now you can become a published author, too!
    3. Comments welcome
    4. Stay connected to IBM Redbooks
  4. Chapter 1. Introduction
    1. 1.1 Introduction to IBM Spectrum Virtualize for Public Cloud
    2. 1.2 IBM Spectrum Virtualize for Public Cloud
      1. 1.2.1 Primers of storage virtualization and software-defined storage
      2. 1.2.2 IBM Spectrum Virtualize for Public Cloud benefits
      3. 1.2.3 IBM Spectrum Virtualize for Public Cloud features
    3. 1.3 IBM Spectrum Virtualize for Public Cloud on Azure
      1. 1.3.1 Application examples on Azure
  5. Chapter 2. Typical use cases for IBM Spectrum Virtualize for Public Cloud
    1. 2.1 Deploying whole IT services in the public cloud
      1. 2.1.1 Business justification
      2. 2.1.2 Highly available deployment models
    2. 2.2 Disaster Recovery
      1. 2.2.1 Business justification
      2. 2.2.2 Two common DR scenarios with IBM Spectrum Virtualize for Public Cloud
    3. 2.3 IBM FlashCopy in the public cloud
      1. 2.3.1 Business justification
      2. 2.3.2 FlashCopy mapping
      3. 2.3.3 Consistency groups
      4. 2.3.4 Crash-consistent copy and host considerations
    4. 2.4 Safeguarded Copy
      1. 2.4.1 Business justification
      2. 2.4.2 Solution design
      3. 2.4.3 Component summary
    5. 2.5 Workload relocation into the public cloud
      1. 2.5.1 Business justification
      2. 2.5.2 Data migration
      3. 2.5.3 Host provisioning
      4. 2.5.4 Implementation considerations
  6. Chapter 3. Solution architecture
    1. 3.1 IBM Spectrum Virtualize
      1. 3.1.1 Nodes
      2. 3.1.2 I/O groups
      3. 3.1.3 Systems
      4. 3.1.4 MDisks
      5. 3.1.5 Storage pools
      6. 3.1.6 Child pools
      7. 3.1.7 Volumes
      8. 3.1.8 Hosts
      9. 3.1.9 Host clusters
      10. 3.1.10 iSCSI
      11. 3.1.11 Cache
      12. 3.1.12 IBM Easy Tier
      13. 3.1.13 IP replication
      14. 3.1.14 IBM FlashCopy
    2. 3.2 Azure terminology
    3. 3.3 Key components of the Azure solution
      1. 3.3.1 Azure Resource Manager template-based publishing
      2. 3.3.2 Resource group and vNets
    4. 3.4 Highly available infrastructure
      1. 3.4.1 Controller node proximity
      2. 3.4.2 Disk types and multi-attach shared disk support
      3. 3.4.3 Load balancer for management traffic failover
      4. 3.4.4 Multipath for data traffic failover and better performance
    5. 3.5 Security design considerations
      1. 3.5.1 Restrictive network security rules
      2. 3.5.2 Bastion access
      3. 3.5.3 Operating system patch update interface and Azure Update Manager integration
      4. 3.5.4 Manual patching using IBM Spectrum Virtualize CLIs
      5. 3.5.5 Automated patching by using Azure Update Manager
    6. 3.6 Solution architecture: IBM Spectrum Virtualize as a storage for all-in-cloud model
  7. Chapter 4. Planning an installation on Microsoft Azure
    1. 4.1 Introduction
    2. 4.2 General planning on Microsoft Azure
      1. 4.2.1 IBM Spectrum Virtualize for Public Cloud prerequisites
      2. 4.2.2 Microsoft Azure prerequisites
    3. 4.3 Planning security access control on Microsoft Azure
      1. 4.3.1 Installer user role permissions
      2. 4.3.2 Management user role permissions
      3. 4.3.3 Bastion user role permissions
    4. 4.4 Planning networking for Microsoft Azure
      1. 4.4.1 Network considerations for basic deployment
      2. 4.4.2 Network considerations for cross-public network deployments
    5. 4.5 Planning an Azure virtual machine
    6. 4.6 Planning Azure managed disks
      1. 4.6.1 Attaching MDisks
      2. 4.6.2 MDisk support
    7. 4.7 Planning deployment access
    8. 4.8 Storage performance optimization
    9. 4.9 Planning for data reduction pools
  8. Chapter 5. Implementing an IBM Spectrum Virtualize for Public Cloud on Microsoft Azure environment
    1. 5.1 Installing IBM Spectrum Virtualize for Public Cloud on Azure
    2. 5.2 Logging in to IBM Spectrum Virtualize for Public Cloud on Azure
      1. 5.2.1 Configuring the Azure Bastion Service
      2. 5.2.2 Connecting to the Azure virtual machine by using Azure Bastion Service
      3. 5.2.3 Configuring GUI for Spectrum Virtualize for Public Cloud cluster on Azure and completing the installation
    3. 5.3 Configuring the cloud quorum
    4. 5.4 Configuring the back-end storage
      1. 5.4.1 Configuring an IBM Spectrum Virtualize volume
      2. 5.4.2 Configuring host and volume mapping
    5. 5.5 Configuring a site to site virtual private network gateway for hybrid cloud connectivity in Azure Cloud
      1. 5.5.1 Azure configuration for VPNGW IPsec tunnel
    6. 5.6 Configuring replication from on-premises IBM Spectrum Virtualize to IBM Spectrum Virtualize for Public Cloud on Azure
  9. Chapter 6. Monitoring and supporting the solution
    1. 6.1 Monitoring IBM Spectrum Virtualize for Public Cloud on Microsoft Azure through GUI, Spectrum Control, or Storage Insights
      1. 6.1.1 Call Home function and email notification
      2. 6.1.2 Monitoring SV4PC on Azure in IBM Spectrum Control or IBM Storage Insights  
    2. 6.2 Troubleshooting Spectrum Virtualize for Public Cloud on Microsoft Azure
      1. 6.2.1 Collecting diagnostic data for IBM Spectrum Virtualize
      2. 6.2.2 Uploading files to the Support Center
      3. 6.2.3 Service Assistant Tool
      4. 6.2.4 Remote Support Assistance
      5. 6.2.5 Troubleshooting in Microsoft Azure
      6. 6.2.6 Hints and tips
    3. 6.3 IBM Spectrum Virtualize for Public Cloud on Microsoft Azure Support contact
      1. 6.3.1 Who to call for support
      2. 6.3.2 Working with IBM Support
      3. 6.3.3 Working with Microsoft Azure Support
  10. Related publications
    1. IBM Redbooks
    2. Online resources
    3. Help from IBM
  11. Back cover

Product information

  • Title: Implementation Guide for IBM Spectrum Virtualize for Public Cloud on Microsoft Azure Version 8.4.3
  • Author(s): Andrew Greenfield, Jackson Shea, Katja Kratt, Lars Dill, Leandro Torolho, Nils Olsson, Pankaj Deshpande, Sushil Sharma, Vasfi Gucer
  • Release date: March 2022
  • Publisher(s): IBM Redbooks
  • ISBN: 9780738460451

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