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使用golang sdk打prometheus4种指标#xff0c;推送到pushgateway gauge、counter、histogram、summary的初始化4种类似的设置值的方法推送到pushgateway的方法 prometheus配置采集pushgateway#xff0c;grafana上配大盘
golang-sdk
项目地址 https://git…本节重点介绍 :
使用golang sdk打prometheus4种指标推送到pushgateway gauge、counter、histogram、summary的初始化4种类似的设置值的方法推送到pushgateway的方法 prometheus配置采集pushgatewaygrafana上配大盘
golang-sdk
项目地址 https://github.com/prometheus/client_golang
使用sdk打点并推送到pushgateway
首先导入包初始化pusher 推送对象
import (
github.com/prometheus/client_golang/prometheus/push
)
var (// pusher对象pusher *push.Pusher
)初始化4种数据metrics对象 // 带标签的gaugeTestMetricGauge01 prometheus.NewGaugeVec(prometheus.GaugeOpts{Name: test_metric_gauge_01,Help: gauge metic test 01,}, []string{idc, ip})// 带标签的counterTestMetricCounter01 prometheus.NewCounterVec(prometheus.CounterOpts{Name: test_metric_counter_01,Help: gauge metic counter 01,}, []string{path, code})// histogramhisStart 0.1histWidth 0.2TestHistogram01 prometheus.NewHistogram(prometheus.HistogramOpts{Name: test_histogram_01,Help: RPC latency distributions.,// histogram 需要传入 bucket的start 和width参数Buckets: prometheus.LinearBuckets(hisStart, histWidth, 20),})// summaryTestSummary01 prometheus.NewSummaryVec(prometheus.SummaryOpts{Name: test_summary_01,Help: RPC latency distributions.,// summary需要固定好最后的分位值结果Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},},[]string{service},)编写初始化pusher对象和注册metrics的Init函数
func Init(url string, jobName string) {pusher push.New(url, jobName)// collector 注册metricspusher.Collector(TestMetricGauge01)pusher.Collector(TestMetricCounter01)pusher.Collector(TestHistogram01)pusher.Collector(TestSummary01)}编写设置gauge和counter值的函数 setValueGaugeAndCounter
counter 只能恒增需要使用Add函数
// gauge和counter设置值的方法
func setValueGaugeAndCounter() {for {TestMetricGauge01.With(prometheus.Labels{idc: bj, ip: 1.1}).Set(float64(rand.Intn(100)))TestMetricCounter01.With(prometheus.Labels{path: /login, code: 200}).Add(float64(rand.Intn(100)))time.Sleep(5 * time.Second)}
}
编写设置histogram值的函数 setValueHistogram
histogram 使用Observe函数设置bucket的值
func setValueHistogram() {for {v : rand.NormFloat64()TestHistogram01.Observe(v)time.Sleep(100 * time.Millisecond)}
}
编写设置summary值的函数 setValueGaugeAndCounter
summary使用Observe设置值
// Summary设置值的方法
func setValueSummary() {for {v : rand.Float64()TestSummary01.WithLabelValues(uniform).Observe(v)time.Sleep(100 * time.Millisecond)}
}
编写推送到pushgateway的函数
func PushWork() {for {err : pusher.Push()if err ! nil {fmt.Println(Could not push completion time to Pushgateway:, err)}time.Sleep(5 * time.Second)}}main函数启动任务
依次启动设置值的协程启动push的协程
func main() {rand.Seed(time.Now().UnixNano())Init(http://172.20.70.205:9091/, my_job)go setValueGaugeAndCounter()go setValueHistogram()go setValueSummary()go PushWork()select {}
}
pushgateway中查看对应指标
举例图片
将单个pushgateway加入prometheus采集job中 - job_name: pushgatewayhonor_timestamps: truescrape_interval: 15sscrape_timeout: 10smetrics_path: /metricsscheme: httpstatic_configs:- targets:- 172.20.70.205:9091- 172.20.70.215:9091在prometheus查询相关指标
promql
histogram histogram_quantile(0.95, sum by(le) (rate(test_histogram_01_bucket[5m])))summary test_summary_01counter rate(test_metric_counter_01[1m])gauge test_metric_gauge_01
在grafana上设置相关图表
举例图片 grafana json
{annotations: {list: [{builtIn: 1,datasource: -- Grafana --,enable: true,hide: true,iconColor: rgba(0, 211, 255, 1),name: Annotations Alerts,type: dashboard}]},editable: true,gnetId: null,graphTooltip: 0,id: 11,links: [],panels: [{aliasColors: {},bars: false,dashLength: 10,dashes: false,datasource: null,fieldConfig: {defaults: {},overrides: []},fill: 1,fillGradient: 0,gridPos: {h: 9,w: 12,x: 0,y: 0},hiddenSeries: false,id: 2,legend: {avg: false,current: false,max: false,min: false,show: true,total: false,values: false},lines: true,linewidth: 1,nullPointMode: null,options: {alertThreshold: true},percentage: false,pluginVersion: 7.5.1,pointradius: 2,points: false,renderer: flot,seriesOverrides: [],spaceLength: 10,stack: false,steppedLine: false,targets: [{exemplar: true,expr: test_metric_gauge_01,interval: ,legendFormat: ,refId: A}],thresholds: [],timeFrom: null,timeRegions: [],timeShift: null,title: test_metric_gauge_01,tooltip: {shared: true,sort: 0,value_type: individual},type: graph,xaxis: {buckets: null,mode: time,name: null,show: true,values: []},yaxes: [{format: short,label: null,logBase: 1,max: null,min: null,show: true},{format: short,label: null,logBase: 1,max: null,min: null,show: true}],yaxis: {align: false,alignLevel: null}},{aliasColors: {},bars: false,dashLength: 10,dashes: false,datasource: null,fieldConfig: {defaults: {},overrides: []},fill: 1,fillGradient: 0,gridPos: {h: 9,w: 12,x: 12,y: 0},hiddenSeries: false,id: 3,legend: {avg: false,current: false,max: false,min: false,show: true,total: false,values: false},lines: true,linewidth: 1,nullPointMode: null,options: {alertThreshold: true},percentage: false,pluginVersion: 7.5.1,pointradius: 2,points: false,renderer: flot,seriesOverrides: [],spaceLength: 10,stack: false,steppedLine: false,targets: [{exemplar: true,expr: rate(test_metric_counter_01[1m]),interval: ,legendFormat: ,refId: A}],thresholds: [],timeFrom: null,timeRegions: [],timeShift: null,title: qps,tooltip: {shared: true,sort: 0,value_type: individual},type: graph,xaxis: {buckets: null,mode: time,name: null,show: true,values: []},yaxes: [{format: short,label: null,logBase: 1,max: null,min: null,show: true},{format: short,label: null,logBase: 1,max: null,min: null,show: true}],yaxis: {align: false,alignLevel: null}},{aliasColors: {},bars: false,dashLength: 10,dashes: false,datasource: null,fieldConfig: {defaults: {},overrides: []},fill: 1,fillGradient: 0,gridPos: {h: 9,w: 12,x: 0,y: 9},hiddenSeries: false,id: 4,legend: {avg: false,current: false,max: false,min: false,show: true,total: false,values: false},lines: true,linewidth: 1,nullPointMode: null,options: {alertThreshold: true},percentage: false,pluginVersion: 7.5.1,pointradius: 2,points: false,renderer: flot,seriesOverrides: [],spaceLength: 10,stack: false,steppedLine: false,targets: [{exemplar: true,expr: histogram_quantile(0.95, sum by(le) (rate(test_histogram_01_bucket[5m]))),interval: ,legendFormat: ,refId: A}],thresholds: [],timeFrom: null,timeRegions: [],timeShift: null,title: histogram 分位置,tooltip: {shared: true,sort: 0,value_type: individual},type: graph,xaxis: {buckets: null,mode: time,name: null,show: true,values: []},yaxes: [{format: short,label: null,logBase: 1,max: null,min: null,show: true},{format: short,label: null,logBase: 1,max: null,min: null,show: true}],yaxis: {align: false,alignLevel: null}},{aliasColors: {},bars: false,dashLength: 10,dashes: false,datasource: null,fieldConfig: {defaults: {},overrides: []},fill: 1,fillGradient: 0,gridPos: {h: 9,w: 12,x: 12,y: 9},hiddenSeries: false,id: 5,legend: {avg: false,current: false,max: false,min: false,show: true,total: false,values: false},lines: true,linewidth: 1,nullPointMode: null,options: {alertThreshold: true},percentage: false,pluginVersion: 7.5.1,pointradius: 2,points: false,renderer: flot,seriesOverrides: [],spaceLength: 10,stack: false,steppedLine: false,targets: [{exemplar: true,expr: test_summary_01,interval: ,legendFormat: ,refId: A}],thresholds: [],timeFrom: null,timeRegions: [],timeShift: null,title: summary 分位值,tooltip: {shared: true,sort: 0,value_type: individual},type: graph,xaxis: {buckets: null,mode: time,name: null,show: true,values: []},yaxes: [{format: short,label: null,logBase: 1,max: null,min: null,show: true},{format: short,label: null,logBase: 1,max: null,min: null,show: true}],yaxis: {align: false,alignLevel: null}}],refresh: 10s,schemaVersion: 27,style: dark,tags: [],templating: {list: []},time: {from: now-30m,to: now},timepicker: {},timezone: ,title: 自打点pushgatway指标,uid: Kqdgmyn7k,version: 2
}全量代码
package mainimport (fmtgithub.com/prometheus/client_golang/prometheusgithub.com/prometheus/client_golang/prometheus/pushmath/randtime
)var (// 带标签的gaugeTestMetricGauge01 prometheus.NewGaugeVec(prometheus.GaugeOpts{Name: test_metric_gauge_01,Help: gauge metic test 01,}, []string{idc, ip})// 带标签的counterTestMetricCounter01 prometheus.NewCounterVec(prometheus.CounterOpts{Name: test_metric_counter_01,Help: gauge metic counter 01,}, []string{path, code})// histogramhisStart 0.1histWidth 0.2TestHistogram01 prometheus.NewHistogram(prometheus.HistogramOpts{Name: test_histogram_01,Help: RPC latency distributions.,Buckets: prometheus.LinearBuckets(hisStart, histWidth, 20),})// summaryTestSummary01 prometheus.NewSummaryVec(prometheus.SummaryOpts{Name: test_summary_01,Help: RPC latency distributions.,Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},},[]string{service},)// pusher对象pusher *push.Pusher
)func Init(url string, jobName string) {pusher push.New(url, jobName)// collector 注册metricspusher.Collector(TestMetricGauge01)pusher.Collector(TestMetricCounter01)pusher.Collector(TestHistogram01)pusher.Collector(TestSummary01)}// Summary设置值的方法
func setValueSummary() {for {v : rand.Float64()TestSummary01.WithLabelValues(uniform).Observe(v)time.Sleep(100 * time.Millisecond)}
}// gauge和counter设置值的方法
func setValueGaugeAndCounter() {for {TestMetricGauge01.With(prometheus.Labels{idc: bj, ip: 1.1}).Set(float64(rand.Intn(100)))TestMetricCounter01.With(prometheus.Labels{path: /login, code: 200}).Add(float64(rand.Intn(100)))time.Sleep(5 * time.Second)}
}func setValueHistogram() {for {v : rand.NormFloat64()TestHistogram01.Observe(v)time.Sleep(100 * time.Millisecond)}
}func PushWork() {for {err : pusher.Push()if err ! nil {fmt.Println(Could not push completion time to Pushgateway:, err)}time.Sleep(5 * time.Second)}}
func main() {rand.Seed(time.Now().UnixNano())Init(http://172.20.70.205:9091/, my_job)go setValueGaugeAndCounter()go setValueHistogram()go setValueSummary()go PushWork()select {}
}
本节重点总结 :
使用golang sdk打prometheus4种指标推送到pushgateway gauge、counter、histogram、summary的初始化4种类似的设置值的方法推送到pushgateway的方法 prometheus配置采集pushgatewaygrafana上配大盘
