From 7961599b2e41c71720a42b3bfde641f7529f05fe Mon Sep 17 00:00:00 2001
From: Corey Hulen <corey@hulen.com>
Date: Tue, 22 Nov 2016 11:05:54 -0800
Subject: PLT-4357 adding performance monitoring (#4622)

* WIP

* WIP

* Adding metrics collection

* updating vendor packages

* Adding metrics to config

* Adding admin console page for perf monitoring

* Updating glide

* switching to tylerb/graceful
---
 .../client_golang/examples/random/main.go          | 103 +++++++++++++++++++++
 1 file changed, 103 insertions(+)
 create mode 100644 vendor/github.com/prometheus/client_golang/examples/random/main.go

(limited to 'vendor/github.com/prometheus/client_golang/examples/random/main.go')

diff --git a/vendor/github.com/prometheus/client_golang/examples/random/main.go b/vendor/github.com/prometheus/client_golang/examples/random/main.go
new file mode 100644
index 000000000..563957193
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/examples/random/main.go
@@ -0,0 +1,103 @@
+// Copyright 2015 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// A simple example exposing fictional RPC latencies with different types of
+// random distributions (uniform, normal, and exponential) as Prometheus
+// metrics.
+package main
+
+import (
+	"flag"
+	"math"
+	"math/rand"
+	"net/http"
+	"time"
+
+	"github.com/prometheus/client_golang/prometheus"
+)
+
+var (
+	addr              = flag.String("listen-address", ":8080", "The address to listen on for HTTP requests.")
+	uniformDomain     = flag.Float64("uniform.domain", 200, "The domain for the uniform distribution.")
+	normDomain        = flag.Float64("normal.domain", 200, "The domain for the normal distribution.")
+	normMean          = flag.Float64("normal.mean", 10, "The mean for the normal distribution.")
+	oscillationPeriod = flag.Duration("oscillation-period", 10*time.Minute, "The duration of the rate oscillation period.")
+)
+
+var (
+	// Create a summary to track fictional interservice RPC latencies for three
+	// distinct services with different latency distributions. These services are
+	// differentiated via a "service" label.
+	rpcDurations = prometheus.NewSummaryVec(
+		prometheus.SummaryOpts{
+			Name: "rpc_durations_microseconds",
+			Help: "RPC latency distributions.",
+		},
+		[]string{"service"},
+	)
+	// The same as above, but now as a histogram, and only for the normal
+	// distribution. The buckets are targeted to the parameters of the
+	// normal distribution, with 20 buckets centered on the mean, each
+	// half-sigma wide.
+	rpcDurationsHistogram = prometheus.NewHistogram(prometheus.HistogramOpts{
+		Name:    "rpc_durations_histogram_microseconds",
+		Help:    "RPC latency distributions.",
+		Buckets: prometheus.LinearBuckets(*normMean-5**normDomain, .5**normDomain, 20),
+	})
+)
+
+func init() {
+	// Register the summary and the histogram with Prometheus's default registry.
+	prometheus.MustRegister(rpcDurations)
+	prometheus.MustRegister(rpcDurationsHistogram)
+}
+
+func main() {
+	flag.Parse()
+
+	start := time.Now()
+
+	oscillationFactor := func() float64 {
+		return 2 + math.Sin(math.Sin(2*math.Pi*float64(time.Since(start))/float64(*oscillationPeriod)))
+	}
+
+	// Periodically record some sample latencies for the three services.
+	go func() {
+		for {
+			v := rand.Float64() * *uniformDomain
+			rpcDurations.WithLabelValues("uniform").Observe(v)
+			time.Sleep(time.Duration(100*oscillationFactor()) * time.Millisecond)
+		}
+	}()
+
+	go func() {
+		for {
+			v := (rand.NormFloat64() * *normDomain) + *normMean
+			rpcDurations.WithLabelValues("normal").Observe(v)
+			rpcDurationsHistogram.Observe(v)
+			time.Sleep(time.Duration(75*oscillationFactor()) * time.Millisecond)
+		}
+	}()
+
+	go func() {
+		for {
+			v := rand.ExpFloat64()
+			rpcDurations.WithLabelValues("exponential").Observe(v)
+			time.Sleep(time.Duration(50*oscillationFactor()) * time.Millisecond)
+		}
+	}()
+
+	// Expose the registered metrics via HTTP.
+	http.Handle("/metrics", prometheus.Handler())
+	http.ListenAndServe(*addr, nil)
+}
-- 
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