Skip to main content

End to End Performance Management on IBM i

An IBM Redbooks publication

Note: This is publication is now archived. For reference only.


Published on 23 November 2009

  1. .EPUB (7.3 MB)
  2. .PDF (4.5 MB)

Google Play Books

Share this page:   

ISBN-10: 0738433810
ISBN-13: 9780738433813
IBM Form #: SG24-7808-00

Authors: Hernando Bedoya, Mark Roy, Nandoo Neerukonda and Petri Nuutinen

    menu icon


    Monitoring and managing your system’s performance is critical to ensure that you are keeping pace with the changing demands of your business.

    To respond to business changes effectively, your system must change too. Managing your system, at first glance, might seem like just another time-consuming job. But the investment soon pays off because the system runs more efficiently, and this is reflected in your business. It is efficient because changes are planned and managed.

    Managing performance of any system can be a complex task that requires a thorough understanding of that system’s hardware and software. IBM® i is an industry leader in the area of performance management and has many qualities that are not found in other systems, such as:

    - Unparalleled performance metrics

    - Always-on collection of metrics

    - Graphical investigation of performance data

    While understanding all the different processes that affect system performance can be challenging and resolving performance problems requires the effective use of a large suite of tools, the functions offered by IBM i are intended to make this job easier for users.

    This IBM Redbooks® publication explains the tasks and rich tools associated with performance management on IBM i.

    Table of Contents

    Part 1. Introduction to managing performance on IBM i

    Chapter 1. Introduction to performance management

    Chapter 2. Performance management life cycle

    Part 2. IBM i tools

    Chapter 3. Overview of data collectors and tools

    Chapter 4. IBM i Performance Data Collectors

    Chapter 5. Performance data analysis

    Chapter 6. Real-time monitoring tools

    Chapter 7. Trending and capacity planning tools

    Part 3. Best practices and appendixes

    Chapter 8. Performance Management best practices

    Appendix A. Understanding disk performance metrics

    Appendix B. A partition as a business