Monitoring Types
This section describes the data types used in monitoring:
- Counter
-
Cumulative metric for a numerical value that only increases.
- Gauge
-
Metric for a numerical value that can increase or decrease.
- Summary
-
Metric that samples observations, providing a count of observations, sum total of observed amounts, average rate of events, and moving average rates across a sliding time window.
The Prometheus view does not provide time-based statistics, as rates can be calculated from the time-series data. Instead, the Prometheus view includes summary metrics whose names have the following suffixes or labels:
-
_count
: number of events recorded -
_total
: sum of the amounts of events recorded -
{quantile="0.5"}
: 50% at or below this value -
{quantile="0.75"}
: 75% at or below this value -
{quantile="0.95"}
: 95% at or below this value -
{quantile="0.98"}
: 98% at or below this value -
{quantile="0.99"}
: 99% at or below this value -
{quantile="0.999"}
: 99.9% at or below this value
-
- Timer
-
Metric combining time-series summary statistics.
Common REST views show summaries as JSON objects. JSON summaries have the following fields:
{ "count": number, // events recorded for this metric "max": number, // maximum duration recorded "mean": number, // total/count, or 0 if count is 0 "min": number, // minimum duration recorded for this metric "mean_rate": number, // average rate "p50": number, // 50% at or below this value "p75": number, // 75% at or below this value "p95": number, // 95% at or below this value "p98": number, // 98% at or below this value "p99": number, // 99% at or below this value "p999": number, // 99.9% at or below this value "stddev": number, // standard deviation of recorded durations "m15_rate": number, // fifteen-minute average rate "m5_rate": number, // five-minute average rate "m1_rate": number, // one-minute average rate "duration_units": string, // time unit used in durations "rate_units": string, // event count unit and time unit used in rate "total": number // sum of the durations of events recorded }