Fabric Manager Users Guide, Version 6.1, Revision A - QLogic

2–Advanced Fabric Manager Capabilities
Performance Manager
PA Client Queries
The PM also supports a FreezeFrame capability for the history. This can allow a
client to freeze an existing image to allow extended analysis without subsequent
sweeps reusing the image. This is used both for the viewing of any non-live data
in iba_top and iba_rfm and the bookmarking of historical data for later
analysis. The number of freeze frames is configurable using
Pm.FreezeFrameImages. This permits tools such as iba_top and iba_rfm to
view recent historical data. The history includes performance, error and topology
information. When viewing recent history changes, any of these areas can be
viewed and analyzed.
PA services available to clients include information about the PM/PA
configuration, groups, images, and ports.
Using a set of vendor-specific MAD packets, client applications in FastFabric
communicate with the PA to retrieve data that is then available to show to the end
user.
Examples of queries supported by the PA include:
• PM/PA configuration – information such as sweep rate, maximum number of
images, and so on.
• List of groups
• Group configuration – list of ports in the group, including node information
• Group information – a summary of the statistical categories being monitored
for the group
• Group focus – a “top talkers” or “top offender” type summary giving the
highest or lowest in contributors to a particular focus area such as bandwidth
or error situation
• Port counter management, including retrieval and clearing
• Image management, including configuration retrieval and freeze frame
management
Error Thresholding
Thresholds can be configured for each class of PMA Error Counter. These
thresholds are used for summary information reported by iba_top and other
FastFabric tools. In addition the PM.ThresholdsExceededMsgLimit
parameters in the Fabric Manager configuration can specify how many threshold
exceeded events for each class of counters should be logged. This logging can
provide a long term history of fabric errors.
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