metrcis输出

collector.go

package main

import (
"github.com/prometheus/client_golang/prometheus"
) //Define a struct for you collector that contains pointers
//to prometheus descriptors for each metric you wish to expose.
//Note you can also include fields of other types if they provide utility
//but we just won't be exposing them as metrics.
type fooCollector struct {
fooMetric *prometheus.Desc
barMetric *prometheus.Desc
} //You must create a constructor for you collector that
//initializes every descriptor and returns a pointer to the collector
func newFooCollector() *fooCollector {
return &fooCollector{
fooMetric: prometheus.NewDesc("foo_metric",
"Shows whether a foo has occurred in our cluster",
nil, nil,
),
barMetric: prometheus.NewDesc("bar_metric",
"Shows whether a bar has occurred in our cluster",
nil, nil,
),
}
} //Each and every collector must implement the Describe function.
//It essentially writes all descriptors to the prometheus desc channel.
func (collector *fooCollector) Describe(ch chan<- *prometheus.Desc) { //Update this section with the each metric you create for a given collector
ch <- collector.fooMetric
ch <- collector.barMetric
} //Collect implements required collect function for all promehteus collectors
func (collector *fooCollector) Collect(ch chan<- prometheus.Metric) { //Implement logic here to determine proper metric value to return to prometheus
//for each descriptor or call other functions that do so.
var metricValue float64
if 1 == 1 {
metricValue = 1
} //Write latest value for each metric in the prometheus metric channel.
//Note that you can pass CounterValue, GaugeValue, or UntypedValue types here.
ch <- prometheus.MustNewConstMetric(collector.fooMetric, prometheus.CounterValue, metricValue)
ch <- prometheus.MustNewConstMetric(collector.barMetric, prometheus.CounterValue, metricValue) }

http输出

main.go

package main

import (
"net/http" log "github.com/Sirupsen/logrus"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promhttp"
) func main() { //Create a new instance of the foocollector and
//register it with the prometheus client.
foo := newFooCollector()
prometheus.MustRegister(foo) //This section will start the HTTP server and expose
//any metrics on the /metrics endpoint.
http.Handle("/metrics", promhttp.Handler())
log.Info("Beginning to serve on port :8080")
log.Fatal(http.ListenAndServe(":8080", nil))
}

单文件

package main

import (
log "github.com/Sirupsen/logrus"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promhttp"
"net/http"
) //Define a struct for you collector that contains pointers
//to prometheus descriptors for each metric you wish to expose.
//Note you can also include fields of other types if they provide utility
//but we just won't be exposing them as metrics.
type fooCollector struct {
fooMetric *prometheus.Desc
barMetric *prometheus.Desc
} //You must create a constructor for you collector that
//initializes every descriptor and returns a pointer to the collector
func newFooCollector() *fooCollector {
return &fooCollector{
fooMetric: prometheus.NewDesc("fff_metric",
"Shows whether a foo has occurred in our cluster",
nil, nil,
),
barMetric: prometheus.NewDesc("bbb_metric",
"Shows whether a bar has occurred in our cluster",
nil, nil,
),
}
} //Each and every collector must implement the Describe function.
//It essentially writes all descriptors to the prometheus desc channel.
func (collector *fooCollector) Describe(ch chan<- *prometheus.Desc) { //Update this section with the each metric you create for a given collector
ch <- collector.fooMetric
ch <- collector.barMetric
} //Collect implements required collect function for all promehteus collectors
func (collector *fooCollector) Collect(ch chan<- prometheus.Metric) { //Implement logic here to determine proper metric value to return to prometheus
//for each descriptor or call other functions that do so.
var metricValue float64
if 1 == 1 {
metricValue = 1
} //Write latest value for each metric in the prometheus metric channel.
//Note that you can pass CounterValue, GaugeValue, or UntypedValue types here.
ch <- prometheus.MustNewConstMetric(collector.fooMetric, prometheus.CounterValue, metricValue)
ch <- prometheus.MustNewConstMetric(collector.barMetric, prometheus.CounterValue, metricValue) } func main() { //Create a new instance of the foocollector and
//register it with the prometheus client.
foo := newFooCollector()
prometheus.MustRegister(foo) //This section will start the HTTP server and expose
//any metrics on the /metrics endpoint.
http.Handle("/metrics", promhttp.Handler())
log.Info("Beginning to serve on port :8080")
log.Fatal(http.ListenAndServe(":8080", nil))
}

使用golang编写prometheus metrics exporter的更多相关文章

  1. Golang 基于Prometheus Node_Exporter 开发自定义脚本监控

    Golang 基于Prometheus Node_Exporter 开发自定义脚本监控 公司是今年决定将一些传统应用从虚拟机上迁移到Kubernetes上的,项目多而乱,所以迁移工作进展缓慢,为了建立 ...

  2. Prometheus Metrics 设计的最佳实践和应用实例,看这篇够了!

    Prometheus 是一个开源的监控解决方案,部署简单易使用,难点在于如何设计符合特定需求的 Metrics 去全面高效地反映系统实时状态,以助力故障问题的发现与定位.本文即基于最佳实践的 Metr ...

  3. goaccess 通过jsonpath 转换为prometheus metrics

    goaccess 是一个不错的日志分析工具,包含了json 数据同时支持基于websocket 的实时数据处理,当然我们可以通过jsonpath 的exporter 转换为支持promethues 的 ...

  4. 使用haproxy 2.0 prometheus metrics 监控系统状态

    haproxy 2.0 已经发布一段时间了,提供内部直接暴露的prometheus metrics 很方便 ,可以快速的监控系统的状态 以下是一个简单的demo 环境准备 docker-compose ...

  5. [转帖]prometheus数据采集exporter全家桶

    prometheus数据采集exporter全家桶 Rainbowhhy1人评论2731人阅读2019-04-06 15:38:32 https://blog.51cto.com/13053917/2 ...

  6. Prometheus之Exporter开发

    Prometheus开发Exporter简介 Exporter 本身是一个http 服务,其指标结果只要符合 Prometheus 规范就可以被 Prometheus 使用. Prometheus中m ...

  7. Golang编写动态库实现回调函数

    Golang编写动态库实现回调函数 我们现在要做一个动态库,但是C++实在是比较难,于是就想能不能用更简单的golang来实现,golang也就是最近的版本才支持编译成动态库,在网上也没找到可用的案例 ...

  8. 【开源监控】Prometheus+Node Exporter+Grafana监控linux服务器

    Prometheus Prometheus介绍 Prometheus新一代开源监控解决方案.github地址 Prometheus主要功能 多维 数据模型(时序由 metric 名字和 k/v 的 l ...

  9. Prometheus + Node Exporter + Grafana 监控主机运行信息

      上一篇文章中讲了如何利用Prometheus和Grafana监控SpringBoot应用的JVM信息,这次就来看看如何监控 服务器运行状态,先列出用到的工具: Prometheus node_ex ...

随机推荐

  1. bzoj3676: [Apio2014]回文串 pam

    题意:字符串s.我们定义s的一个子串t的"出 现值"为t在s中的出现次数乘以t的长度.请你求出s的所有回文子串中的最 大出现值. 题解:pam板子题 //cnt数组表示该节点代表的 ...

  2. springBoot配置,贴个图

    spring: datasource: name: test url: jdbc:mysql://localhost:3306/epay?characterEncoding=UTF-8 usernam ...

  3. ​ oracle分区表(附带按照月自动分区、按天自动分区)

    --list_range  示例   drop table list_range_tab purge; create table list_range_tab(n1 number,n2 date)pa ...

  4. 【LeetCode】数组移除元素

    链表等复杂数据结构用多了,简单的数组操作也不能遗忘! 1. 给定一个有序数组,移除所有重复元素并返回新的数组长度,不能分配额外数组的内存空间. e.g. 给定输入的数组 = [1,1,2],函数应当返 ...

  5. vue虚拟DOM源码学习-vnode的挂载和更新流程

    代码如下: <div id="app"> {{someVar}} </div> <script type="text/javascript& ...

  6. Shelld5的使用

    Shelld的连接7步   ·   · huhu_k: 想和你相遇.

  7. Mysql for Linux安装配置之——二进制安装

    1.准备及安装1)查看OS版本  # cat /etc/redhat-release  2)创建mysql组及用户  # groupadd mysql  # cat /etc/group|grep m ...

  8. 【转】vue.js表单校验详解

    官方文档:https://monterail.github.io/vuelidate/ https://github.com/monterail/vuelidate 1.npm安装vue-valida ...

  9. MySQL修改版本号教程

    处理扫描器扫出的漏洞,基本有四种方法:一是升级软件包到新版本(包括打补丁和整个替换升级),二是修改banner配置项(包括禁用banner和修改banner内容),三是添加白名单(包括主机防火墙和软件 ...

  10. Java 求两个数百分比%

    int num1 = 500; int num2 = 312; // 创建一个数值格式化对象 NumberFormat numberFormat = NumberFormat.getInstance( ...