- Provide an example of this working with a uniform distribution.

README.md

@@ -9,10 +9,10 @@ re-implementation should other folks need to consume and analyze such telemetry.
 
 N.B. --- I have spent a bit of time working through the model in my head and
 probably haven't elucidated my ideas as clearly as I need to.  If you examine
-src/main.go and src/export/registry.go, you'll find an example of what type of
-potential instrumentation use cases this package addresses.  There are probably
-numerous Go language idiomatic changes that need to be made, but this task has
-been deferred for now.
+examples/{simple,uniform_random}/main.go and registry.go, you'll find several
+examples of what types of potential instrumentation use cases this package
+addresses.  There are probably numerous Go language idiomatic changes that need
+to be made, but this task has been deferred for now.
 
 # Continuous Integration
 [![Build Status](https://secure.travis-ci.org/matttproud/golang_instrumentation.png?branch=master)](http://travis-ci.org/matttproud/golang_instrumentation)

examples/uniform_random/main.go

@@ -0,0 +1,46 @@
+// Copyright (c) 2012, Matt T. Proud
+// All rights reserved.
+//
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+// main.go provides a simple example of how to use this instrumentation
+// framework in the context of having something that emits values into
+// its collectors.
+
+package main
+
+import (
+	"github.com/matttproud/golang_instrumentation"
+	"github.com/matttproud/golang_instrumentation/maths"
+	"github.com/matttproud/golang_instrumentation/metrics"
+	"math/rand"
+	"net/http"
+	"time"
+)
+
+func main() {
+	foo_rpc_latency := metrics.CreateHistogram(&metrics.HistogramSpecification{
+		Starts:                metrics.EquallySizedBucketsFor(0, 200, 4),
+		BucketMaker:           metrics.AccumulatingBucketBuilder(metrics.EvictAndReplaceWith(10, maths.Average), 50),
+		ReportablePercentiles: []float64{0.01, 0.5, 0.90, 0.99},
+	})
+	foo_rpc_calls := &metrics.GaugeMetric{}
+
+	metrics := registry.NewRegistry()
+	metrics.Register("foo_rpc_latency_ms_histogram", foo_rpc_latency)
+	metrics.Register("foo_rpc_call_count", foo_rpc_calls)
+
+	go func() {
+		for {
+			foo_rpc_latency.Add(rand.Float64() * 200)
+			foo_rpc_calls.Increment()
+			time.Sleep(500 * time.Millisecond)
+		}
+	}()
+
+	exporter := metrics.YieldExporter()
+
+	http.Handle("/metrics.json", exporter)
+	http.ListenAndServe(":8080", nil)
+}