76 lines
2.5 KiB
Go
76 lines
2.5 KiB
Go
/*
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Copyright (c) 2012, Matt T. Proud
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All rights reserved.
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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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*/
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/*
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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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The emitted values correspond to uniform, normal, and exponential
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distributions.
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*/
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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, 0.05, 0.5, 0.90, 0.99},
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})
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foo_rpc_calls := &metrics.GaugeMetric{}
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bar_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, 0.05, 0.5, 0.90, 0.99},
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})
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bar_rpc_calls := &metrics.GaugeMetric{}
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zed_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, 0.05, 0.5, 0.90, 0.99},
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})
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zed_rpc_calls := &metrics.GaugeMetric{}
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metrics := registry.NewRegistry()
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metrics.Register("rpc_latency_foo_microseconds", foo_rpc_latency)
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metrics.Register("rpc_calls_foo_total", foo_rpc_calls)
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metrics.Register("rpc_latency_bar_microseconds", bar_rpc_latency)
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metrics.Register("rpc_calls_bar_total", bar_rpc_calls)
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metrics.Register("rpc_latency_zed_microseconds", zed_rpc_latency)
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metrics.Register("rpc_calls_zed_total", zed_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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bar_rpc_latency.Add((rand.NormFloat64() * 10.0) + 100.0)
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bar_rpc_calls.Increment()
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zed_rpc_latency.Add(rand.ExpFloat64())
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zed_rpc_calls.Increment()
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time.Sleep(100 * 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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