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go-metrics
==========
This library provides a `metrics` package which can be used to instrument code,
expose application metrics, and profile runtime performance in a flexible manner.
Current API: [](https://godoc.org/github.com/armon/go-metrics)
Sinks
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-----
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The `metrics` package makes use of a `MetricSink` interface to support delivery
to any type of backend. Currently the following sinks are provided:
* StatsiteSink : Sinks to a [statsite ](https://github.com/armon/statsite/ ) instance (TCP)
* StatsdSink: Sinks to a [StatsD ](https://github.com/etsy/statsd/ ) / statsite instance (UDP)
* PrometheusSink: Sinks to a [Prometheus ](http://prometheus.io/ ) metrics endpoint (exposed via HTTP for scrapes)
* InmemSink : Provides in-memory aggregation, can be used to export stats
* FanoutSink : Sinks to multiple sinks. Enables writing to multiple statsite instances for example.
* BlackholeSink : Sinks to nowhere
In addition to the sinks, the `InmemSignal` can be used to catch a signal,
and dump a formatted output of recent metrics. For example, when a process gets
a SIGUSR1, it can dump to stderr recent performance metrics for debugging.
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Labels
------
Most metrics do have an equivalent ending with `WithLabels` , such methods
allow to push metrics with labels and use some features of underlying Sinks
(ex: translated into Prometheus labels).
Since some of these labels may increase greatly cardinality of metrics, the
library allow to filter labels using a blacklist/whitelist filtering system
which is global to all metrics.
* If `Config.AllowedLabels` is not nil, then only labels specified in this value will be sent to underlying Sink, otherwise, all labels are sent by default.
* If `Config.BlockedLabels` is not nil, any label specified in this value will not be sent to underlying Sinks.
By default, both `Config.AllowedLabels` and `Config.BlockedLabels` are nil, meaning that
no tags are filetered at all, but it allow to a user to globally block some tags with high
cardinality at application level.
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Examples
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--------
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Here is an example of using the package:
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```go
func SlowMethod() {
// Profiling the runtime of a method
defer metrics.MeasureSince([]string{"SlowMethod"}, time.Now())
}
// Configure a statsite sink as the global metrics sink
sink, _ := metrics.NewStatsiteSink("statsite:8125")
metrics.NewGlobal(metrics.DefaultConfig("service-name"), sink)
// Emit a Key/Value pair
metrics.EmitKey([]string{"questions", "meaning of life"}, 42)
```
Here is an example of setting up a signal handler:
```go
// Setup the inmem sink and signal handler
inm := metrics.NewInmemSink(10*time.Second, time.Minute)
sig := metrics.DefaultInmemSignal(inm)
metrics.NewGlobal(metrics.DefaultConfig("service-name"), inm)
// Run some code
inm.SetGauge([]string{"foo"}, 42)
inm.EmitKey([]string{"bar"}, 30)
inm.IncrCounter([]string{"baz"}, 42)
inm.IncrCounter([]string{"baz"}, 1)
inm.IncrCounter([]string{"baz"}, 80)
inm.AddSample([]string{"method", "wow"}, 42)
inm.AddSample([]string{"method", "wow"}, 100)
inm.AddSample([]string{"method", "wow"}, 22)
....
```
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When a signal comes in, output like the following will be dumped to stderr:
[2014-01-28 14:57:33.04 -0800 PST][G] 'foo': 42.000
[2014-01-28 14:57:33.04 -0800 PST][P] 'bar': 30.000
[2014-01-28 14:57:33.04 -0800 PST][C] 'baz': Count: 3 Min: 1.000 Mean: 41.000 Max: 80.000 Stddev: 39.509
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[2014-01-28 14:57:33.04 -0800 PST][S] 'method.wow': Count: 3 Min: 22.000 Mean: 54.667 Max: 100.000 Stddev: 40.513
