- Provide an example of this working with a uniform distribution.
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@ -9,10 +9,10 @@ re-implementation should other folks need to consume and analyze such telemetry.
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N.B. --- I have spent a bit of time working through the model in my head and
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probably haven't elucidated my ideas as clearly as I need to. If you examine
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src/main.go and src/export/registry.go, you'll find an example of what type of
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potential instrumentation use cases this package addresses. There are probably
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numerous Go language idiomatic changes that need to be made, but this task has
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been deferred for now.
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examples/{simple,uniform_random}/main.go and registry.go, you'll find several
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examples of what types of potential instrumentation use cases this package
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addresses. There are probably numerous Go language idiomatic changes that need
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to be made, but this task has been deferred for now.
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# Continuous Integration
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[![Build Status](https://secure.travis-ci.org/matttproud/golang_instrumentation.png?branch=master)](http://travis-ci.org/matttproud/golang_instrumentation)
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@ -0,0 +1,46 @@
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// Copyright (c) 2012, Matt T. Proud
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// All rights reserved.
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//
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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// main.go provides a simple example of how to use this instrumentation
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// framework in the context of having something that emits values into
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// its collectors.
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package main
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import (
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"github.com/matttproud/golang_instrumentation"
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"github.com/matttproud/golang_instrumentation/maths"
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"github.com/matttproud/golang_instrumentation/metrics"
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"math/rand"
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"net/http"
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"time"
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)
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func main() {
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foo_rpc_latency := metrics.CreateHistogram(&metrics.HistogramSpecification{
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Starts: metrics.EquallySizedBucketsFor(0, 200, 4),
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BucketMaker: metrics.AccumulatingBucketBuilder(metrics.EvictAndReplaceWith(10, maths.Average), 50),
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ReportablePercentiles: []float64{0.01, 0.5, 0.90, 0.99},
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})
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foo_rpc_calls := &metrics.GaugeMetric{}
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metrics := registry.NewRegistry()
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metrics.Register("foo_rpc_latency_ms_histogram", foo_rpc_latency)
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metrics.Register("foo_rpc_call_count", foo_rpc_calls)
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go func() {
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for {
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foo_rpc_latency.Add(rand.Float64() * 200)
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foo_rpc_calls.Increment()
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time.Sleep(500 * time.Millisecond)
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}
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}()
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exporter := metrics.YieldExporter()
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http.Handle("/metrics.json", exporter)
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http.ListenAndServe(":8080", nil)
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}
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