使用golang编写prometheus metrics exporter
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
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- [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 ...
- 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 ...
- 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 ...
- 【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 ...
- 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
- python-项目流程分析及优化查询方法
项目流程分析: ****** 1. 需求分析 2. 知识点 - 插件 3. 功能分析: - 用户登录 - session - 签名cookie PS: 主动设置超时时间:request.session ...
- python-day2笔记
# 1.为何要有操作系统:# 程序员掌握计算机系统所有的细节有很大难度,并且管理这些部件并加以优化使用,是一件极富挑战性的工作,# 于是,计算机安装了一层软件(系统软件),称为操作系统.它的任务就是为 ...
- 函数使用十二:BAPI_MATERIAL_BOM_GROUP_CREATE(CS61)
REPORT ZSM_CREATE_SIMPLEBOM.* This code will create a material BoM for the material* MAINMATERIAL wi ...
- Activiti手动执行的应用(UserTask)
工作流模拟某公司请假流程情景如下: 1.开发人员请假流程,如果开发人员请假,如果请假天数小于3天,组长批准,人事批准即可请假. 2.如果请假大约三天,需要项目经理或者产品经理批准,并且项目总监 ...
- UNIX-like系统资源检查命令
系统资源主要是内存.磁盘.CPU三项,其中任一项资源用尽都会造成系统崩溃. 系统 内存 磁盘空间 磁盘io CPU Linux free -g df -h top AIX svmon -G/vms ...
- python格式化日期
#!/usr/bin/python # -*- coding: UTF-8 -*- import time import calendar """ 时间元组(年.月.日. ...
- Android 音视频深入 六 使用FFmpeg播放视频(附源码下载)
本篇项目地址,求starhttps://github.com/979451341/Audio-and-video-learning-materials/tree/master/FFmpeg%E6%92 ...
- PHP开发者的Linux学习之路
谈起一个高效动态网站的构建,那就不得不提到LAMP,即Linux操作系统.Apache网络服务器.Mysql数据库.Perl.PHP或Python编程语言等开源产品所组成的网站架构框架,其最大的优势是 ...
- Unity3D中的射线与碰撞检测代码
两种不同写法的射线检测 1.获取鼠标点击的物体 if (Input.GetMouseButtonDown(0)) { Ray ray = MainCamera.ScreenPointToRay(Inp ...
- OOP⑶
/** * 学生类 * ctrl+o 查询本类的所有属性 和方法 */ public class Student { int age; // 年龄 String name; // 姓名 // 自己创建 ...