forked from mirror/client_golang
71 lines
2.3 KiB
Go
71 lines
2.3 KiB
Go
// Copyright 2015 Prometheus Team
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// A simple example exposing fictional RPC latencies with different types of
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// random distributions (uniform, normal, and exponential) as Prometheus
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// metrics.
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package main
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import (
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"flag"
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"math/rand"
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"net/http"
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"time"
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"github.com/prometheus/client_golang/prometheus"
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)
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var (
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addr = flag.String("listen-address", ":8080", "The address to listen on for HTTP requests.")
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uniformDomain = flag.Float64("random.uniform.domain", 200, "The domain for the uniform distribution.")
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normDomain = flag.Float64("random.exponential.domain", 200, "The domain for the normal distribution.")
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normMean = flag.Float64("random.exponential.mean", 10, "The mean for the normal distribution.")
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)
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var (
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// Create a summary to track fictional interservice RPC latencies for three
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// distinct services with different latency distributions. These services are
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// differentiated via a "service" label.
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rpcDurations = prometheus.NewSummaryVec(
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prometheus.SummaryOpts{
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Name: "rpc_durations_microseconds",
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Help: "RPC latency distributions.",
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},
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[]string{"service"},
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)
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)
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func init() {
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// Register the summary with Prometheus's default registry.
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prometheus.MustRegister(rpcDurations)
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}
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func main() {
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flag.Parse()
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go func() {
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for {
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// Periodically record some sample latencies for the three services.
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rpcDurations.WithLabelValues("uniform").Observe(rand.Float64() * *uniformDomain)
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rpcDurations.WithLabelValues("normal").Observe((rand.NormFloat64() * *normDomain) + *normMean)
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rpcDurations.WithLabelValues("exponential").Observe(rand.ExpFloat64())
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time.Sleep(100 * time.Millisecond)
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}
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}()
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// Expose the registered metrics via HTTP.
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http.Handle("/metrics", prometheus.Handler())
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http.ListenAndServe(*addr, nil)
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}
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