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Because the log file can accumulate over a period of hours or even days, it is the best method to use both when you are establishing a baseline and for routine monitoring. You also can export data from log files either to a spreadsheet or database program for further evaluation. You can insert bookmarks into the log to identify major events. Using bookmarks and alerts enables you to analyze a large log file with considerable speed.
10.2.3. The Alert ViewThe Alert view enables you to monitor multiple counters or computers with minimal overhead. You must set a threshold value for each counter, as shown in Figure 10.3. For example, if the amount of used pagefile space was to exceed a certain threshold, the system could log the event automatically, notify an administrator, or execute an application. You can configure more than one alert at one time; however, this is processor-intensive, and you should do this only when necessary. 10.2.4. The Report ViewAs the name implies, the Report view, as shown in Figure 10.4, presents the selected data in a report format. Objects display in the order you select them. The Report view gives you a quick picture of the available data to assist you in selecting the objects you want to monitor. There is not an option in Performance Monitor to print the report, although you can export the data into another application, such as Excel or Access, to generate and print reports and graphs.
10.3. Selecting the Key Elements to MonitorKnowing which are the key elements to select and monitor is essential to the proper evaluation of system performance. It is necessary for you to understand that although you can track individual objects, the first object you identify as performing poorly is not always at fault. As you examine each of the following objects, you must consider how each object affects the performance of the others. For example, an abnormally high processor utilization average is often the result of insufficient memory.
Each object you track is matched by a list of corresponding counters and instances. For example, in Figure 10.5 the selected object is the Processor; because this is a single-processor system, there is only one instance, 0. The counters are the specific areas of the object you might track; in this case, the counter is %Processor Time.
10.3.1. The Processor ObjectThe Processor object,as shown in Figure 10.5, displays the percentage of time in which the processor executes the active threads from both user and system processes. Before you decide that a processor upgrade is required, look for a lack of memory in the system. Excessive paging can increase significantly the work that both the processor and disk subsystem require. If you are monitoring a multiple-processor system, be sure to monitor each processor.
10.3.2. The System ObjectThe System object and its related counters reflect the collective performance of objects. Two common counters are set with the System object. %Total Processor Time is useful in a multiprocessor system, where there would be a separate instance for each processor in the system tracked by the Processor object. In such a system, you can determine an average percentage of processor utilization across all processors by tracking the System object and the %Total Processor Time counter, as shown in Figure 10.6.
As shown in Figure 10.7, you can track the total interrupts per second over a period of time in the Log view to create a baseline. An abnormal increase in the Total Interrupts/second could indicate a potential component failure.
10.3.3. The Memory ObjectThe Memory object includes a series of counters that provides an insight into how the system is utilizing its memory.
Pages/second, as shown in Figure 10.8, is the most critical memory counter. This number will be high when a significant amount of the data you request cannot be located in physical RAM.
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