2.4 KiB
2.4 KiB
package metrics
package metrics
provides a set of uniform interfaces for service instrumentation.
It has
counters,
gauges, and
histograms,
and provides adapters to popular metrics packages, like
expvar,
StatsD, and
Prometheus.
Rationale
Code instrumentation is absolutely essential to achieve
observability
into a distributed system.
Metrics and instrumentation tools have coalesced around a few well-defined idioms.
package metrics
provides a common, minimal interface those idioms for service authors.
Usage
A simple counter, exported via expvar.
import (
"github.com/go-kit/kit/metrics"
"github.com/go-kit/kit/metrics/expvar"
)
func main() {
var myCount metrics.Counter
myCount = expvar.NewCounter("my_count")
myCount.Add(1)
}
A histogram for request duration, exported via a Prometheus summary with dynamically-computed quantiles.
import (
"time"
stdprometheus "github.com/prometheus/client_golang/prometheus"
"github.com/go-kit/kit/metrics"
"github.com/go-kit/kit/metrics/prometheus"
)
func main() {
var dur metrics.Histogram = prometheus.NewSummary(stdprometheus.SummaryOpts{
Namespace: "myservice",
Subsystem: "api",
Name: "request_duration_seconds",
Help: "Total time spent serving requests.",
}, []string{})
// ...
}
func handleRequest(dur metrics.Histogram) {
defer func(begin time.Time) { dur.Observe(time.Since(begin).Seconds()) }(time.Now())
// handle request
}
A gauge for the number of goroutines currently running, exported via StatsD.
import (
"net"
"os"
"runtime"
"time"
"github.com/go-kit/kit/metrics"
"github.com/go-kit/kit/metrics/statsd"
)
func main() {
statsd := statsd.New("foo_svc.", log.NewNopLogger())
report := time.NewTicker(5 * time.Second)
defer report.Stop()
go statsd.SendLoop(report.C, "tcp", "statsd.internal:8125")
goroutines := statsd.NewGauge("goroutine_count")
go exportGoroutines(goroutines)
// ...
}
func exportGoroutines(g metrics.Gauge) {
for range time.Tick(time.Second) {
g.Set(float64(runtime.NumGoroutine()))
}
}