PM for Power Systems

Frequently asked questions

What is IBM Performance Management for IBM PowerLinux?

The IBM Performance Management (PM) for PowerLinux is a dynamic, easy to use, performance and capacity planning function that is specifically designed to address the challenges of systems management.

PM for PowerLinux automates many of the functions associated with capacity planning and performance analysis for IBM PowerLinux Systems, and for the IBM Power Systems, IBM System i and IBM System p models running Linux. It's simple, there's nothing that you need to do other than activate the PM Agent for PowerLinux and periodically check that data is being collected and transmitted to IBM.

The PM Agent for PowerLinux collects performance metrics from the server or partition and sends the data to IBM using either the electronic Service agent or via the Hardware Monitor Console (HMC).

Detailed information is available at:

How do I get the IBM Performance Management Agent for IBM PowerLinux (PM Agent)?

For new Linux customers who are ordering Linux from IBM, the PM Agent is distributed as part of the IBM Installation ToolKit. Please use version 5.4.1 or later of the ToolKit.

For existing Linux users, the PM Agent can be downloaded/installed from the YUM repository.

Here are the two equivalent commands:

# yum install ibmPMLinux # on REDHAT, "--downloadonly" is optional and needs yum-downloadonly package
# zypper install ibmPMLinux # on SUSE, "--download-only" is optional and needs a newer zypper version

If the command reports "package 'ibmPMLinux' not found", your YUM repository configuration for "IBM Power Tools" is probably not done yet, and need to set an appropriate repository first.

ibmPMLinux is one of those tool packages that are periodically upgraded/uploaded to:

... ... ( alike )

for installation by yum/zypper commands. ibmPMLinux is identical for all IBM Linux releases by now.

Setting the repository can be done by installing the "ibm-power-repo" package on the system:

# yum       install ibm-power-repo

# zypper install ibm-power-repo


# on SUSE

Alternatively, you may manually set it up with:

1) "yast"(or yast2) tool

# yast

# on SUSE

# then select:

Software -> Software Repository -> Repositories -> Add # for SLES11, or
Software -> Installation Source -> Add                              # for SLES10

to configure a line of repository like:
(Priority | Enabled | Autorefresh | Name | URL)
99 (Default) | x | x |IBM Power SDK Tools |
(Status | Refresh | Name | URL)
 On        | On          | YUM    |

2) An editor to add a .repo file under /etc/yum.repos.d

# vi /etc/yum.repos.d/ibm_power_tools.repo


# as a template

name=IBM Power Tools
... ...

NOTE: For SUSE systems, repository files are in different directories upon releases. It is way simpler to configure the "IBM Power Tools" repository with "yast" tool because the detail statements inside may be uneasy:
# cat /etc/zypp/repos.d/"IBM Power Tools.repo"                                  # on SLES11
[IBM Power Tools]
name=IBM Power Tools

# cat /var/lib/zypp/db/sources/<RandomFileName>                          # on SLES10

<?xml version="1.0" encoding="UTF-8"?>                                             # xml format!
<source version="2.0" xmlns="">
    <alias>IBM Power Tools</alias>

For more detail, please read the manual documents of rpm, yum, zypper, and yast on Linux. In addition, information about them is also available on their websites:

My server is running RHEL 6.3, are there any critical fixes?

RedHat has posted a zstream kernel fix for the RHEL 6.3 base where CPU utilization metrics (top, vmstat, mpstat, etc) were showing strange and incorrect values.

This behavior is easily seen on an idle system. The updated kernel is easy to install.

See the latest blog post for details.

Contact IBM

For technical assistance:

Call IBM Support Line:
1-800-IBM-SERV (426-7378), Opt. 21-800-426-7378 Opt 2
Ask for the Queue called SMP, 163 for worldwide

Browse Power Systems

Next generation applications for big data and analytics and cognitive computing are providing unprecedented insights into opportunities, threats and efficiencies. IBM Power Systems is at the forefront of delivering solutions to gain faster insights from analyzing both structured information and unstructured big data. With the secure, flexible and open platform of IBM Power Systems plus solutions and software, organizations can outpace their competitors by delivering faster services, providing differentiated offerings and turning operational cost into investment opportunity.

To draw insights and make better decisions, businesses rely on the secure, flexible and open platform of IBM Power Systems. Built with the first processor designed for big data workloads, the design of Power Systems combines the computing power, memory bandwidth and I/O in ways that are easier to consume and manage, building on strong resiliency, availability and security.

IBM Power Systems deliver flexibility and choice of operating systems to enable your business to support the next generation applications for big data and analytics and cognitive computing that are transforming how organizations work today. Whether running 1, 2, or all 3 - coupled with PowerVM, they maximize the benefit of Power Systems in your business.

Transform your business with Systems Software that enables virtualization, high availability, flexibility, security and compliance on Power Systems™. IBM’s integrated approach to developing Systems and Systems Software together delivers optimized results with Power Systems.

As an open innovation platform, Power Systems is optimized for big data and analytics performance and to deliver scale-out economics and security for the cloud. IBM and IBM Business Partner solutions exploit key capabilities in IBM Power Systems.

Over the last five years thousands of clients have migrated to IBM Power Systems for choice and flexibility. Learn how Power Systems has helped them revolutionise the way IT is developed and delivered, optimise for big data and analytics, and support private, public and hybrid offerings for scale-out or scale-up implementations all while improving business performance, reducing risk, and establishing a platform for growth.