github.com/calmw/ethereum@v0.1.1/metrics/syslog.go (about)

     1  //go:build !windows
     2  // +build !windows
     3  
     4  package metrics
     5  
     6  import (
     7  	"fmt"
     8  	"log/syslog"
     9  	"time"
    10  )
    11  
    12  // Output each metric in the given registry to syslog periodically using
    13  // the given syslogger.
    14  func Syslog(r Registry, d time.Duration, w *syslog.Writer) {
    15  	for range time.Tick(d) {
    16  		r.Each(func(name string, i interface{}) {
    17  			switch metric := i.(type) {
    18  			case Counter:
    19  				w.Info(fmt.Sprintf("counter %s: count: %d", name, metric.Count()))
    20  			case CounterFloat64:
    21  				w.Info(fmt.Sprintf("counter %s: count: %f", name, metric.Count()))
    22  			case Gauge:
    23  				w.Info(fmt.Sprintf("gauge %s: value: %d", name, metric.Value()))
    24  			case GaugeFloat64:
    25  				w.Info(fmt.Sprintf("gauge %s: value: %f", name, metric.Value()))
    26  			case Healthcheck:
    27  				metric.Check()
    28  				w.Info(fmt.Sprintf("healthcheck %s: error: %v", name, metric.Error()))
    29  			case Histogram:
    30  				h := metric.Snapshot()
    31  				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    32  				w.Info(fmt.Sprintf(
    33  					"histogram %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f",
    34  					name,
    35  					h.Count(),
    36  					h.Min(),
    37  					h.Max(),
    38  					h.Mean(),
    39  					h.StdDev(),
    40  					ps[0],
    41  					ps[1],
    42  					ps[2],
    43  					ps[3],
    44  					ps[4],
    45  				))
    46  			case Meter:
    47  				m := metric.Snapshot()
    48  				w.Info(fmt.Sprintf(
    49  					"meter %s: count: %d 1-min: %.2f 5-min: %.2f 15-min: %.2f mean: %.2f",
    50  					name,
    51  					m.Count(),
    52  					m.Rate1(),
    53  					m.Rate5(),
    54  					m.Rate15(),
    55  					m.RateMean(),
    56  				))
    57  			case Timer:
    58  				t := metric.Snapshot()
    59  				ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    60  				w.Info(fmt.Sprintf(
    61  					"timer %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f 1-min: %.2f 5-min: %.2f 15-min: %.2f mean-rate: %.2f",
    62  					name,
    63  					t.Count(),
    64  					t.Min(),
    65  					t.Max(),
    66  					t.Mean(),
    67  					t.StdDev(),
    68  					ps[0],
    69  					ps[1],
    70  					ps[2],
    71  					ps[3],
    72  					ps[4],
    73  					t.Rate1(),
    74  					t.Rate5(),
    75  					t.Rate15(),
    76  					t.RateMean(),
    77  				))
    78  			}
    79  		})
    80  	}
    81  }