Specifications

© IBM Copyright, 2012 Version: January 26, 2012
www.ibm.com/support/techdocs 40
Summary of Best Practices for Storage Area Networks
general guidelines or suggested threshold levels to determine when a connection and/or
device is performing well or poorly. Since each network is unique, meaningful
thresholds will need to be determined via a trial and error method.
One alternate method involves using TPC to collect performance metrics over a period
of time, such as a full week, and then use the various peaks as a starting point for
setting thresholds. A key proviso with this method is that SAN operations during the
initial monitoring period must be normal without any notable disruptions or abnormal
activities. Needless to say, performance metrics should be collected on a regular basis
(such as once a month and no longer than quarterly) to better monitor changes in the
SAN environment over time.
If necessary, thresholds may warrant modifications. However, a threshold should never
be set much higher than 80% of a connection’s bandwidth. Levels over this threshold
level are an indication can either additional port-channel bandwidth are needed or that
the workload on a particular device port may need to be reallocated to another port on
the same device, or moving some of the workload to another device.
9.1 Performance and Metrics
The answer to some performance questions is the same two words; it depends. This
is not much use to you when trying to solve storage performance problems, or rather
perceived storage performance problems. But there are no absolutes with
performance so it is truly difficult to supply a simple answer for the question: “what is
a good performance number for a VDisk?”
The best rule of thumb metrics for any system are derived from current and historical
data taken from specific configurations and workloads that are meeting application
and end user requirements. Collect new sets of metrics after configuration changes
are made to important storage resources. Keep a historical record of performance
metrics.
It can be better to move users up the performance spectrum rather than down.
Users will rarely complain if performance increases. So, if there is uncertainty as to
the correct pool use the one with lower performance, and move them up to the
higher performing pool later if required.