Metric Types Reference

Cumulative metric for a numerical value that only increases while the server is running.

Counts that reflect volatile data, such as the number of requests, are reset to 0 when the server starts up.

Metric for a numerical value that can increase or decrease.

Metric that samples observations, providing a count of observations, sum total of observed amounts, average rate of events, and moving average rates across sliding time windows.

Common REST and LDAP views show summaries as JSON objects. JSON summaries have the following fields:^[a]

{
  "count": number,      // Number of events since the server started
  "total": number,      // Sum of quantities measured for each event
                        // since the server started
  // The following are related to the "count":
  "mean_rate": number,  // Average event rate per second
                        // since the server started
  "m1_rate": number,    // One-minute average event rate per second
                        // (exponentially decaying)
  "m5_rate": number,    // Five-minute average event rate per second
                        // (exponentially decaying)
  "m15_rate": number,   // Fifteen-minute average event rate per second
                        // (exponentially decaying)
}

The "total" depends on the type of events measured. For example, if the "count" is the number of requests, then the "total" is the total etime in milliseconds to process all the requests. If the "count" is the number of times the server read bytes of data, then the "total" is the total number of bytes read.

Metric combining a summary with other statistics.

Common REST and LDAP views show summaries as JSON objects. JSON summaries have the following fields:^[a]

{
  "count": number,     // Number of events since the server started
  "total": number,     // Total duration for all events
                       // since the server started, in ms
                       // (for requests, sum of the etimes
                       // since the server started, in ms)
  // The following are related to the "count":
  "mean_rate": number, // Average event rate per second
                       // since the server started
  "m1_rate": number,   // One-minute average event rate per second
                       // (exponentially decaying)
  "m5_rate": number,   // Five-minute average event rate per second
                       // (exponentially decaying)
  "m15_rate": number,  // Fifteen-minute average event rate per second
                       // (exponentially decaying)
  // The following are related to the "total":
  "mean": number,      // Average duration over all events
                       // since the server started, in ms
  "min": number,       // Minimum duration recorded
                       // since the server started, in ms
  "max": number,       // Maximum duration recorded
                       // since the server started, in ms
  "stddev": number,    // Standard deviation of durations
                       // since the server started, in ms
  "p50": number,       // 50% durations at or below this value
                       // (median) since the server started, in ms
  "p75": number,       // 75% durations at or below this value
                       // since the server started, in ms
  "p95": number,       // 95% durations at or below this value
                       // since the server started, in ms
  "p98": number,       // 98% durations at or below this value
                       // since the server started, in ms
  "p99": number,       // 99% durations at or below this value
                       // since the server started, in ms
  "p999": number,      // 99.9% durations at or below this value
                       // since the server started, in ms
  "p9999": number,     // 99.99% durations at or below this value
                       // since the server started, in ms
  "p99999": number     // 99.999% durations at or below this value
                       // since the server started, in ms
}

The Prometheus view does not provide time-based statistics. Rates can be calculated from the time-series data.