client_golang/prometheus/example_clustermanager_test.go

143 lines
4.9 KiB
Go

// Copyright 2014 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.
package prometheus_test
import (
"log"
"net/http"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promhttp"
)
// ClusterManager is an example for a system that might have been built without
// Prometheus in mind. It models a central manager of jobs running in a
// cluster. Thus, we implement a custom Collector called
// ClusterManagerCollector, which collects information from a ClusterManager
// using its provided methods and turns them into Prometheus Metrics for
// collection.
//
// An additional challenge is that multiple instances of the ClusterManager are
// run within the same binary, each in charge of a different zone. We need to
// make use of wrapping Registerers to be able to register each
// ClusterManagerCollector instance with Prometheus.
type ClusterManager struct {
Zone string
// Contains many more fields not listed in this example.
}
// ReallyExpensiveAssessmentOfTheSystemState is a mock for the data gathering a
// real cluster manager would have to do. Since it may actually be really
// expensive, it must only be called once per collection. This implementation,
// obviously, only returns some made-up data.
func (c *ClusterManager) ReallyExpensiveAssessmentOfTheSystemState() (
oomCountByHost map[string]int, ramUsageByHost map[string]float64,
) {
// Just example fake data.
oomCountByHost = map[string]int{
"foo.example.org": 42,
"bar.example.org": 2001,
}
ramUsageByHost = map[string]float64{
"foo.example.org": 6.023e23,
"bar.example.org": 3.14,
}
return
}
// ClusterManagerCollector implements the Collector interface.
type ClusterManagerCollector struct {
ClusterManager *ClusterManager
}
// Descriptors used by the ClusterManagerCollector below.
var (
oomCountDesc = prometheus.NewDesc(
"clustermanager_oom_crashes_total",
"Number of OOM crashes.",
[]string{"host"}, nil,
)
ramUsageDesc = prometheus.NewDesc(
"clustermanager_ram_usage_bytes",
"RAM usage as reported to the cluster manager.",
[]string{"host"}, nil,
)
)
// Describe is implemented with DescribeByCollect. That's possible because the
// Collect method will always return the same two metrics with the same two
// descriptors.
func (cc ClusterManagerCollector) Describe(ch chan<- *prometheus.Desc) {
prometheus.DescribeByCollect(cc, ch)
}
// Collect first triggers the ReallyExpensiveAssessmentOfTheSystemState. Then it
// creates constant metrics for each host on the fly based on the returned data.
//
// Note that Collect could be called concurrently, so we depend on
// ReallyExpensiveAssessmentOfTheSystemState to be concurrency-safe.
func (cc ClusterManagerCollector) Collect(ch chan<- prometheus.Metric) {
oomCountByHost, ramUsageByHost := cc.ClusterManager.ReallyExpensiveAssessmentOfTheSystemState()
for host, oomCount := range oomCountByHost {
ch <- prometheus.MustNewConstMetric(
oomCountDesc,
prometheus.CounterValue,
float64(oomCount),
host,
)
}
for host, ramUsage := range ramUsageByHost {
ch <- prometheus.MustNewConstMetric(
ramUsageDesc,
prometheus.GaugeValue,
ramUsage,
host,
)
}
}
// NewClusterManager first creates a Prometheus-ignorant ClusterManager
// instance. Then, it creates a ClusterManagerCollector for the just created
// ClusterManager. Finally, it registers the ClusterManagerCollector with a
// wrapping Registerer that adds the zone as a label. In this way, the metrics
// collected by different ClusterManagerCollectors do not collide.
func NewClusterManager(zone string, reg prometheus.Registerer) *ClusterManager {
c := &ClusterManager{
Zone: zone,
}
cc := ClusterManagerCollector{ClusterManager: c}
prometheus.WrapRegistererWith(prometheus.Labels{"zone": zone}, reg).MustRegister(cc)
return c
}
func ExampleCollector() {
// Since we are dealing with custom Collector implementations, it might
// be a good idea to try it out with a pedantic registry.
reg := prometheus.NewPedanticRegistry()
// Construct cluster managers. In real code, we would assign them to
// variables to then do something with them.
NewClusterManager("db", reg)
NewClusterManager("ca", reg)
// Add the standard process and Go metrics to the custom registry.
reg.MustRegister(
prometheus.NewProcessCollector(prometheus.ProcessCollectorOpts{}),
prometheus.NewGoCollector(),
)
http.Handle("/metrics", promhttp.HandlerFor(reg, promhttp.HandlerOpts{}))
log.Fatal(http.ListenAndServe(":8080", nil))
}