Instances: Each counter can have one or more instances. For example, the Processor object has various counters to choose from: % processor time, % privileged time, % user time, interrupts/second, etc. For any given object, you will have multiple counters. Typical objects include Memory, Network, Paging File, Processor, etc.Ĭounters: Counters are a subset of an object. Objects: Objects are the top-most criteria for monitoring a set of attributes on the server. However, to understand how to obtain the information you want, it is important to understand the three fundamental levels of monitoring criteria. Using Performance Monitor, performance data can be captured in a variety of granularity, from total processor utilization on a server down to the processor time used by an individual Windows process. This article focuses on using PerfMon to create a performance baseline on a Windows Terminal Server, but the following information also applies to baselining any Windows-based server. However, to meaningfully analyze the PerfMon data captured when troubleshooting performance issues, it is critical that you have a baseline of normal system performance for comparison. Performance Monitor can capture a plethora of information on a Windows Server and is useful in diagnosing performance problems.

Windows Performance Monitor (PerfMon) has been around for several generations of Windows and allows you to monitor, either over time or in real-time, the performance statistics of a Windows server.

If you would like to read the next article in this series please go to Using Windows Performance Monitor to Baseline a Terminal Server (Part 1).

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