go-metrics

Go port of Coda Hale's Metrics library: https://github.com/dropwizard/metrics.

Documentation: http://godoc.org/github.com/rcrowley/go-metrics.

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 threadsafe. For threadsafe 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-parseable form to syslog:

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

Periodically emit every metric to Graphite using the Graphite client:

import "github.com/cyberdelia/go-metrics-graphite"

addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
go graphite.Graphite(metrics.DefaultRegistry, 10e9, "metrics", addr)

Periodically emit every metric into InfluxDB:

NOTE: this has been pulled out of the library due to constant fluctuations in the InfluxDB API. In fact, all client libraries are on their way out. see issues #121 and #124 for progress and details.

import "github.com/vrischmann/go-metrics-influxdb"

go influxdb.InfluxDB(metrics.DefaultRegistry,
  10e9, 
  "127.0.0.1:8086", 
  "database-name", 
  "username", 
  "password"
)

Periodically upload every metric to Librato using the Librato client:

Note: the client included with this repository under the librato package has been deprecated and moved to the repository linked above.

import "github.com/mihasya/go-metrics-librato"

go librato.Librato(metrics.DefaultRegistry,
    10e9,                  // interval
    "[email protected]", // account owner email address
    "token",               // Librato API token
    "hostname",            // source
    []float64{0.95},       // percentiles to send
    time.Millisecond,      // time unit
)

Periodically emit every metric to StatHat:

import "github.com/rcrowley/go-metrics/stathat"

go stathat.Stathat(metrics.DefaultRegistry, 10e9, "[email protected]")

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/rcrowley/go-metrics/exp"

exp.Exp(metrics.DefaultRegistry)

Installation

go get github.com/rcrowley/go-metrics

StatHat support additionally requires their Go client:

go get github.com/stathat/go

Publishing Metrics

Clients are available for the following destinations:

• AppOptics - https://github.com/ysamlan/go-metrics-appoptics
• Librato - https://github.com/mihasya/go-metrics-librato
• Graphite - https://github.com/cyberdelia/go-metrics-graphite
• InfluxDB - https://github.com/vrischmann/go-metrics-influxdb
• Ganglia - https://github.com/appscode/metlia
• Prometheus - https://github.com/deathowl/go-metrics-prometheus
• DataDog - https://github.com/syntaqx/go-metrics-datadog
• SignalFX - https://github.com/pascallouisperez/go-metrics-signalfx
• Honeycomb - https://github.com/getspine/go-metrics-honeycomb
• Wavefront - https://github.com/wavefrontHQ/go-metrics-wavefront
• Open-Falcon - https://github.com/g4zhuj/go-metrics-falcon
• AWS CloudWatch - https://github.com/savaki/cloudmetrics