Pattern-Matching refers to accessing the level of correlation among metrics based on the threshold value. The purpose of pattern matching is to identify metrics that shares the similar pattern. The similar pattern relies on the threshold value, which can be either higher or lower than the average value but still exhibits some variation. To apply the pattern matching first you have to select a metric, which will be considered as a baseline metric for the pattern matching. For Example: If the Average CPU Utilization (PCT) is running 50%, and it suddenly spikes upto 90%, then it will calculate the deflection of the metric which is 90%.

Note: Pattern matching will calculate the deflection of the baseline metric which you have chosen.

Metric Information: It shows the baseline metric present on the panel, with which pattern- matching has to be done.

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