Asynchronous Geographic Logical Volume Mirroringm Best Practices for Cloud Deployment

Asynchronous Geographic Logical Volume Mirroringm Best Practices for Cloud Deployment

by Dino Quintero, Ravi A. Shankar, Antony Steel
Released March 2022
Publisher(s): IBM Redbooks
ISBN: 9780738460468

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Book description

This IBM® Redpaper™ publication describes IBM Geographic Logical Volume Manager (GLVM) for data mirroring in cloud deployments.

Asynchronous GLVM provides IBM AIX® based mirroring of data across distance over networks. It is highly recommended that Asynchronous GLVM be deployed with PowerHA SystemMirror for AIX Enterprise Edition. PowerHA® SystemMirror® provides robust workload stack HA management, handles many errors in the environment, and helps recover Asynchronous GLVM better. PowerHA SystemMirror also provides interfaces for easy setup of Asynchronous GLVM and disk management.

This IBM Redpaper publication provides guidelines in relation to GLVM deployments for private or public clouds.
This publication is intended to help with the requirements to configure and implement GLVM for cloud configurations. This paper addresses topics for IT architects, IT specialists, sellers and anyone who wants to implement and manage high availability (HA) and Disaster Recovery (DR) in the cloud.

The publication also provides documentation to transfer the how-to skills to the technical teams, and solution guidance to the sales team. This paper compliments the documentation that is available at the IBM Documentation web page and aligns with the educational materials that are provided by IBM Systems Technical Education.

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. IBM AIX Geographic Logical Volume Manager best practices for Cloud deployments
    1. 1.1 Introduction
    2. 1.2 Geographic Logical Volume Manager concepts
      1. 1.2.1 Summary
      2. 1.2.2 Remote physical volume
      3. 1.2.3 AIX LVM Mirror Pools
      4. 1.2.4 Replication modes
      5. 1.2.5 I/O paths for GLVM replication
      6. 1.2.6 GLVM operation
      7. 1.2.7 GLVM standalone
      8. 1.2.8 GLVM resource requirements
      9. 1.2.9 Planning for GLVM
      10. 1.2.10 Recommendations
      11. 1.2.11 Resource monitoring for planning purposes
    3. 1.3 GLVM monitoring and tuning recommendations
      1. 1.3.1 Tuning the environment
      2. 1.3.2 Tuning GLVM by using the rpvutil command
    4. 1.4 Performance analysis
      1. 1.4.1 AIX disk subsystem and network tunables
      2. 1.4.2 AIX GLVM RPV tunables
      3. 1.4.3 Analyzing I/O rates for different configurations
    5. 1.5 Initial setup
      1. 1.5.1 Network-based disk seeding
      2. 1.5.2 Lift and shift method
      3. 1.5.3 Example GLVM setup: Two sites and one PV at each site
      4. 1.5.4 Setup guidance
      5. 1.5.5 Changing GLVM mirroring modes
      6. 1.5.6 Useful lsglvm command options
    6. 1.6 Maintenance tasks
      1. 1.6.1 Changing sites
      2. 1.6.2 Data divergence
      3. 1.6.3 Site divergence or split brain
      4. 1.6.4 Setting preferred read to local disks for standalone
      5. 1.6.5 Starting the GMVG and mounting the file systems
      6. 1.6.6 Unmounting the file systems and deactivating the GMVG
      7. 1.6.7 Recovering from a failed cache LV
      8. 1.6.8 Replacing a failed cache-logical volume
      9. 1.6.9 Recovering on the same site (asynchronous mode)
      10. 1.6.10 Changing the size of the cache
      11. 1.6.11 Troubleshooting
  5. Appendix A. Task table
    1. Commands that are used in this publication
  6. Appendix B. The gmdsizing command
    1. gmdsizing command
  7. Appendix C. Configuring IBM Geographic Logical Volume Manager
    1. GLVM configuration and testing
  8. Related publications
    1. IBM Redbooks
    2. Online resources
    3. Help from IBM
  9. Back cover

Product information

  • Title: Asynchronous Geographic Logical Volume Mirroringm Best Practices for Cloud Deployment
  • Author(s): Dino Quintero, Ravi A. Shankar, Antony Steel
  • Release date: March 2022
  • Publisher(s): IBM Redbooks
  • ISBN: 9780738460468