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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

March 2022

Intermediate to advanced

162 pages

4h 26m

English

IBM Redbooks

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1.1 Introduction to IBM Spectrum Virtualize for Public Cloud1.2 IBM Spectrum Virtualize for Public Cloud1.2.1 Primers of storage virtualization and software-defined storage1.2.2 IBM Spectrum Virtualize for Public Cloud benefits1.2.3 IBM Spectrum Virtualize for Public Cloud features1.3 IBM Spectrum Virtualize for Public Cloud on Azure1.3.1 Application examples on Azure
2.1 Deploying whole IT services in the public cloud2.1.1 Business justification2.1.2 Highly available deployment models2.2 Disaster Recovery2.2.1 Business justification2.2.2 Two common DR scenarios with IBM Spectrum Virtualize for Public Cloud2.3 IBM FlashCopy in the public cloud2.3.1 Business justification2.3.2 FlashCopy mapping2.3.3 Consistency groups2.3.4 Crash-consistent copy and host considerations2.4 Safeguarded Copy2.4.1 Business justification2.4.2 Solution design2.4.3 Component summary2.5 Workload relocation into the public cloud2.5.1 Business justification2.5.2 Data migration2.5.3 Host provisioning2.5.4 Implementation considerations
3.1 IBM Spectrum Virtualize3.1.1 Nodes3.1.2 I/O groups3.1.3 Systems3.1.4 MDisks3.1.5 Storage pools3.1.6 Child pools3.1.7 Volumes3.1.8 Hosts3.1.9 Host clusters3.1.10 iSCSI3.1.11 Cache3.1.12 IBM Easy Tier3.1.13 IP replication3.1.14 IBM FlashCopy3.2 Azure terminology3.3 Key components of the Azure solution3.3.1 Azure Resource Manager template-based publishing3.3.2 Resource group and vNets3.4 Highly available infrastructure3.4.1 Controller node proximity3.4.2 Disk types and multi-attach shared disk support3.4.3 Load balancer for management traffic failover3.4.4 Multipath for data traffic failover and better performance3.5 Security design considerations3.5.1 Restrictive network security rules3.5.2 Bastion access3.5.3 Operating system patch update interface and Azure Update Manager integration3.5.4 Manual patching using IBM Spectrum Virtualize CLIs3.5.5 Automated patching by using Azure Update Manager3.6 Solution architecture: IBM Spectrum Virtualize as a storage for all-in-cloud model
4.1 Introduction4.2 General planning on Microsoft Azure4.2.1 IBM Spectrum Virtualize for Public Cloud prerequisites4.2.2 Microsoft Azure prerequisites4.3 Planning security access control on Microsoft Azure4.3.1 Installer user role permissions4.3.2 Management user role permissions4.3.3 Bastion user role permissions4.4 Planning networking for Microsoft Azure4.4.1 Network considerations for basic deployment4.4.2 Network considerations for cross-public network deployments4.5 Planning an Azure virtual machine4.6 Planning Azure managed disks4.6.1 Attaching MDisks4.6.2 MDisk support4.7 Planning deployment access4.8 Storage performance optimization4.9 Planning for data reduction pools
5.1 Installing IBM Spectrum Virtualize for Public Cloud on Azure5.2 Logging in to IBM Spectrum Virtualize for Public Cloud on Azure5.2.1 Configuring the Azure Bastion Service5.2.2 Connecting to the Azure virtual machine by using Azure Bastion Service5.2.3 Configuring GUI for Spectrum Virtualize for Public Cloud cluster on Azure and completing the installation5.3 Configuring the cloud quorum5.4 Configuring the back-end storage5.4.1 Configuring an IBM Spectrum Virtualize volume5.4.2 Configuring host and volume mapping5.5 Configuring a site to site virtual private network gateway for hybrid cloud connectivity in Azure Cloud5.5.1 Azure configuration for VPNGW IPsec tunnel5.6 Configuring replication from on-premises IBM Spectrum Virtualize to IBM Spectrum Virtualize for Public Cloud on Azure
6.1 Monitoring IBM Spectrum Virtualize for Public Cloud on Microsoft Azure through GUI, Spectrum Control, or Storage Insights6.1.1 Call Home function and email notification6.1.2 Monitoring SV4PC on Azure in IBM Spectrum Control or IBM Storage Insights 6.2 Troubleshooting Spectrum Virtualize for Public Cloud on Microsoft Azure6.2.1 Collecting diagnostic data for IBM Spectrum Virtualize6.2.2 Uploading files to the Support Center6.2.3 Service Assistant Tool6.2.4 Remote Support Assistance6.2.5 Troubleshooting in Microsoft Azure6.2.6 Hints and tips6.3 IBM Spectrum Virtualize for Public Cloud on Microsoft Azure Support contact6.3.1 Who to call for support6.3.2 Working with IBM Support6.3.3 Working with Microsoft Azure Support
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Content preview from Implementation Guide for IBM Spectrum Virtualize for Public Cloud on Microsoft Azure Version 8.4.3

Preface

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.

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