AppDynamics Application Intelligence Platform
Demo of Percentile Metrics
Percentile metrics are available for business transaction response time. Percentiles are generally a better indicator than averages because they are not sensitive to outliers while averages can get distorted. Percentile metrics can provide a sense of how the response times are distributed. From this information you can extrapolate the percentage of responses that are within and outside of acceptable ranges.
Percentiles describe distributions of real world data sets in ways that are less sensitive to the effect of outliers in the data set than simpler calculations such as the mean. Percentile metrics can provide you with answers to questions such as the following:
Percentile metrics for business transaction response time are displayed in the Metric Browser or Custom Dashboard.
Percentile metrics can be interpreted as follows: the 95th percentile point indicates that 95% of all response times were less than the metric value. It provides a sense of how the response times are distributed. For example if the metric Observed (Average) or percentile value is 300ms, it implies that 95% of the business transaction response times are less than 300ms, and therefore implies that 95% of the business transaction response times are within acceptable ranges. It also implies that 5% of the requests have been taking more time and could be a cause for concern.
There are three agent node properties that you can use to enable and configure how percentile metrics are collected. You do not need to restart the agent after making changes to these properties.