IBM SAN Volume Controller Best Practices and Performance Guidelines for IBM Spectrum Virtualize Version 8.4.2

An IBM Redbooks publication

Published 17 January 2022

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ISBN-10: 073846029x
ISBN-13: 9780738460291
IBM Form #: SG24-8509-00
(640 pages)

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Authors: Antonio Rainero, Carlton Beatty, David Green, Hartmut Lonzer, Jonathan Wilkie, Kendall Williams, Konrad Trojok, Mandy Stevens, Nezih Boyacioglu, Nils Olsson, Renato Santos, Rene Oehme, Sergey Kubin, Thales Noivo Ferreira, Uwe Schreiber, Vasfi Gucer

Abstract

This IBM® Redbooks® publication captures several of the preferred practices and describes the performance gains that can be achieved by implementing the IBM SAN Volume Controller powered by IBM Spectrum® Virtualize Version 8.4.2. These practices are based on field experience.

This book highlights configuration guidelines and preferred practices for the storage area network (SAN) topology, clustered system, back-end storage, storage pools and managed disks, volumes, Remote Copy services and hosts.

It explains how you can optimize disk performance with the IBM System Storage Easy Tier® function. It also provides preferred practices for monitoring, maintaining, and troubleshooting.
This book is intended for experienced storage, SAN, IBM FlashSystem®, IBM SAN Volume Controller, and IBM Storwize® administrators and technicians. Understanding this book requires advanced knowledge of these environments.

Table of contents

Chapter 1. Introduction to IBM SAN Volume Controller
Chapter 2. Storage area network guidelines
Chapter 3. Planning back-end storage
Chapter 4. Planning storage pools
Chapter 5. Volumes types
Chapter 6. Copy services overview
Chapter 7. Meeting business continuity requirements
Chapter 8. Configuring host systems
Chapter 9. Implementing a storage monitoring system
Chapter 10. Maintaining storage infrastructure
Chapter 11. Troubleshooting and diagnostics
Chapter 12. IBM Real-time Compression
Chapter 13. IBM Spectrum Virtualize for Public Cloud in IBM Cloud
Chapter 14. IBM Spectrum Virtualize for Public Cloud in Amazon Web Services
Chapter 15. Automation and scripting
Appendix A. IBM i considerations

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