This metric provides a distribution of . Values, distribution buckets and ranges are configurable.
Percentile metrics provide a means to quantify the quality of service customers are receiving based on the response time that a fixed percentage (usually 95 percent) of users receive. These metrics are commonly referred to as 95th Percentile metrics. The exact percentage the system uses is configurable by the user.
This metric provides a numeric value that represents the upper level of achieved by the desired percentage of events.
To calculate this metric, the system uses a statistical method involving standard deviation rather than by tracking each individual event in memory (that approach would be prohibitive in terms of processing requirements and memory consumption). The percentile metric is calculated using this formula:
This metric shows the percentage of SOAP transactions that satisfy the threshold for the metric specified on the configuration page for the SOAP Transaction (see the Foglight Experience Monitor Installation and Administration Guide for information). This provides the ability to create service level contracts based on the processing times for a SOAP transaction.
As an example, you could configure a SOAP Transaction Processing Time Threshold of 2000 milliseconds for a transaction. This metric reflects the percentage of transactions that are processed in a time less than or equal to 2 seconds. You could then create an alarm that is triggered when this metric falls below 80 percent. This gives you the ability of enforcing an SLA that specifies 80% of transactions will be processed within 2 seconds.
This metric provides an estimate of the peak number of transactions per second that are requested for a given SOAP transaction. This gives you the ability to evaluate the peak request load that a SOAP transaction experiences and consider this when evaluating SLAs on the transaction itself. Some SLAs provide exemptions if concurrent activity exceeds a predetermined level. This metric provides a benchmark by which you can evaluate the peak levels of activity that a transaction experiences.