Implementing IBM VM Recovery Manager for IBM Power Systems

Book description

This IBM® Redbooks® publication describes the IBM VM Recovery Manager for Power Systems, and addresses topics to help answer customers' complex high availability (HA) and disaster recovery (DR) requirements for IBM AIX® and Linux on IBM Power Systems servers to help maximize systems' availability and resources, and provide technical documentation to transfer the how-to skills to users and support teams.

The IBM VM Recovery Manager for Power Systems product is an easy to use and economical HA and DR solution. Automation software, installation services, and remote-based software support help you streamline the process of recovery, which raises availability and recovery testing, and maintains a state-of-the-art HA and DR solution. Built-in functions and IBM Support can decrease the need for expert-level skills and shorten your recovery time objective (RTO), improve your recovery point objective (RPO), optimize backups, and better manage growing data volumes.

This book examines the IBM VM Recovery Manager solution, tools, documentation, and other resources that are available to help technical teams develop, implement, and support business resilience solutions in IBM VM Recovery Manager for IBM Power Systems environments.

This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing HA and DR solutions and support for IBM Power Systems.

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 to high availability and disaster recovery
    1. 1.1 General high availability and disaster recovery overview
      1. 1.1.1 General concepts
      2. 1.1.2 Outage-related differences
      3. 1.1.3 High availability and continuous availability
      4. 1.1.4 Disaster recovery
    2. 1.2 Restart technologies and clustering methods
      1. 1.2.1 Live Partition Mobility
      2. 1.2.2 Simplified Remote Restart
      3. 1.2.3 IBM PowerHA SystemMirror
      4. 1.2.4 Comparison of solutions
    3. 1.3 VM Recovery Manager HA
    4. 1.4 IBM VM Recovery Manager DR
      1. 1.4.1 Implementing IP change scripts on AIX
      2. 1.4.2 Implementing IP change scripts on Linux
  5. Chapter 2. IBM VM Recovery Manager High Availability components
    1. 2.1 Overview and capabilities
      1. 2.1.1 Overview
      2. 2.1.2 Capabilities
    2. 2.2 Solution components and detailed architecture
      1. 2.2.1 Simplified component model
      2. 2.2.2 Refined component model
      3. 2.2.3 KSYS test cluster example
      4. 2.2.4 KSYS as a Resource Monitoring and Control subsystem
      5. 2.2.5 KSYS daemon restart exercise
      6. 2.2.6 KSYS subsystem functional modules
      7. 2.2.7 Host monitor, Health Status Database, and related VIOS internals
      8. 2.2.8 VM Agent architecture
      9. 2.2.9 HVNCP protocol
    3. 2.3 Communication flows
      1. 2.3.1 Discovery of a VM that is enabled for monitoring
      2. 2.3.2 Failure Detection Engine: QuickQuery and NeedsAttention flows
      3. 2.3.3 Application Reporting flow
  6. Chapter 3. Planning and deploying IBM VM Recovery Manager High Availability for IBM Power Systems
    1. 3.1 VM Recovery Manager HA requirements
      1. 3.1.1 Software requirements
      2. 3.1.2 Firmware requirements
      3. 3.1.3 Installation and configuration requirements
      4. 3.1.4 Host group requirements
      5. 3.1.5 HMC requirements
      6. 3.1.6 Network requirements
      7. 3.1.7 GUI requirements
    2. 3.2 VM Recovery Manager HA coexistence with other products
      1. 3.2.1 IBM Power Virtualization Center
      2. 3.2.2 IBM PowerHA SystemMirror Software
      3. 3.2.3 PowerVM NovaLink
    3. 3.3 VM Recovery Manager HA restrictions
      1. 3.3.1 Migration restriction
      2. 3.3.2 VM Agent restrictions
      3. 3.3.3 GUI restrictions
      4. 3.3.4 VM Recovery Manager HA filesets and structure
    4. 3.4 Installing the VM Recovery Manager HA solution
      1. 3.4.1 Installing the VIOS interim fix
      2. 3.4.2 Installing the KSYS software
      3. 3.4.3 Installing VM Agents
    5. 3.5 Configuring VM Recovery Manager HA
      1. 3.5.1 Initializing the KSYS cluster
      2. 3.5.2 Adding HMCs
      3. 3.5.3 Adding hosts
      4. 3.5.4 Creating host groups
      5. 3.5.5 Discovering and verifying the KSYS configuration
    6. 3.6 Setting up HA policies
      1. 3.6.1 HA monitoring policies
      2. 3.6.2 Environment-level policies
      3. 3.6.3 VM-level policies
    7. 3.7 Setting up the VM Agent
      1. 3.7.1 The ksysvmmgr command and utility
      2. 3.7.2 Application Management Engine
    8. 3.8 Setting contacts for event notification
    9. 3.9 Uninstalling VM Recovery Manager HA
      1. 3.9.1 Uninstalling the KSYS software
      2. 3.9.2 Uninstalling VM Agents
  7. Chapter 4. IBM VM Recovery Manager High Availability GUI deployment
    1. 4.1 Installing the GUI filesets
    2. 4.2 Configuring and discovering the VM Recovery Manager HA infrastructure by using the GUI only
    3. 4.3 VM Recovery Manager HA dashboard
      1. 4.3.1 KSYS cluster features
    4. 4.4 Relevant move tests
      1. 4.4.1 VM Live Partition Mobility move test
      2. 4.4.2 VM restart move test
      3. 4.4.3 Host LPM move test
  8. Chapter 5. Test scenarios
    1. 5.1 Test environment
    2. 5.2 Linux virtual machine failures
    3. 5.3 AIX VM failures
    4. 5.4 Host failures
  9. Appendix A. Additional material
    1. Locating the web material
    2. Using the web material
  10. Related publications
    1. IBM Redbooks
    2. Online resources
    3. Help from IBM
  11. Back cover

Product information

  • Title: Implementing IBM VM Recovery Manager for IBM Power Systems
  • Author(s): Dino Quintero, Jose Martin Abeleira, Adriano Almeida, Bernhard Buehler, Primitivo Cervantes, Stuart Cunliffe, Jes Kiran, Byron Martinez Martinez, Antony Steel, Oscar Humberto Torres, Stefan Velica
  • Release date: February 2021
  • Publisher(s): IBM Redbooks
  • ISBN: 9780738458106