In conclusion, there are a number of parameters that can affect the overall performance of a system and understanding performance issues and how to solve them depends on analyzing the underlying root cause and identifying the most effective solution to overcome that.

While there are a great number of performance metrics that can be used, in reality a relatively small number of them can be used to get a view of how a machine is performing and which of its components is becoming overloaded.

In most systems there will be spikes of high utilization on all of the parameters but performance will only be impacted noticeably when one starts to show signs of consistent overloading. The use of effective tools that monitor performance metrics over a period of time and can show when these signs are developing is a valuable addition to the network monitoring process.