mirror of
https://github.com/Luzifer/promcertcheck.git
synced 2024-11-10 17:00:07 +00:00
103 lines
3.4 KiB
Go
103 lines
3.4 KiB
Go
// 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)
|
|
}
|