IBM Real-time Compression Appliance Version 4.1

An IBM Redbooks publication

Published 02 April 2013

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ISBN-10: 073843793X
ISBN-13: 9780738437934
IBM Form #: SG24-8112-00
(90 pages)

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Authors: Roland Tretau, Salahaldean Alamayri, Christian Prediger Appel, Joao Marcelo Barros de Almeida, Andre Luis Giglioli, William Luiz de Souza

Abstract

Continuing its commitment to developing and delivering industry-leading storage technologies, IBM is introducing the IBM Real-time Compression Appliance for NAS, an innovative new storage offering that delivers essential storage efficiency technologies, combined with exceptional ease of use and performance.

In an era when the amount of information, particularly in unstructured files, is exploding, but budgets for storing that information are stagnant, IBM Real-time Compression technology offers a powerful tool for better information management, protection and access. IBM Real-time Compression can help slow the growth of storage acquisition, reducing storage costs while simplifying both operations and management. It also enables organizations to keep more data available for use rather than storing it offsite or on tape that is more difficult to access, so they can support improved analytics and decision-making.

IBM Real-time Compression Appliance provides online storage optimization through real-time data compression, delivering dramatic cost reduction without performance degradation.

This IBM Redbooks publication is for system administrators and IT architects. It describes the enhancements made in version 4.1 of the Real-time Compression Appliance as compared to previous releases.

This book is a companion to the publication Introduction to IBM Real-time Compression Appliances, SG24-7953.

Table of contents

Part 1. Introduction
Chapter 1. Compression technology discussed
Chapter 2. Introduction to RTCA design
Chapter 3. What is new in RTCA v4.1
Chapter 4. Hardware update
Part 2. Implementation
Chapter 5. Implementation planning
Chapter 6. Software installation or upgrade
Chapter 7. Performance considerations

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