go-metrics

Go port of Coda Hale's Metrics library.

Usage

Create and update metrics:

c := metrics.NewCounter()
metrics.Register("foo", c)
c.Inc(47)

g := metrics.NewGauge()
metrics.Register("bar", g)
g.Update(47)

r := NewRegistry()
g := metrics.NewRegisteredFunctionalGauge("cache-evictions", r, func() int64 { return cache.getEvictionsCount() })

s := metrics.NewExpDecaySample(1028, 0.015) // or metrics.NewUniformSample(1028)
h := metrics.NewHistogram(s)
metrics.Register("baz", h)
h.Update(47)

m := metrics.NewMeter()
metrics.Register("quux", m)
m.Mark(47)

t := metrics.NewTimer()
metrics.Register("bang", t)
t.Time(func() {})
t.Update(47)

Register() is not thread-safe. For thread-safe metric registration use GetOrRegister:

t := metrics.GetOrRegisterTimer("account.create.latency", nil)
t.Time(func() {})
t.Update(47)

NOTE: Be sure to unregister short-lived meters and timers otherwise they will leak memory:

// Will call Stop() on the Meter to allow for garbage collection
metrics.Unregister("quux")
// Or similarly for a Timer that embeds a Meter
metrics.Unregister("bang")

Periodically log every metric in human-readable form to standard error:

go metrics.Log(metrics.DefaultRegistry, 5 * time.Second, log.New(os.Stderr, "metrics: ", log.Lmicroseconds))

Periodically log every metric in slightly-more-parsable form to syslog:

w, _ := syslog.Dial("unixgram", "/dev/log", syslog.LOG_INFO, "metrics")
go metrics.Syslog(metrics.DefaultRegistry, 60e9, w)

Maintain all metrics along with expvars at /debug/metrics:

This uses the same mechanism as the official expvar but exposed under /debug/metrics, which shows a json representation of all your usual expvars as well as all your go-metrics.

import "github.com/weareyolo/go-metrics/exp"

exp.Exp(metrics.DefaultRegistry)

Installation

go get github.com/weareyolo/go-metrics

Publishing Metrics

Clients are available for the following destinations:

• AppOptics
• Librato
• Graphite
• InfluxDB
• Ganglia
• Prometheus
• DataDog
• SignalFX
• Honeycomb
• Wavefront
• Open-Falcon
• AWS CloudWatch