prometheus简单环境搭建

安装prometheus

网址:https://prometheus.io/download/ 下载对应版本
但是真的很难下载,我使用docker来安装
安装如下(docker的安装不赘述了):

  • docker pull prom/prometheus
  • mkdir /root/prometheus-data
  • mkdir /root/conf.d
  • vim prometheus.yml
global:
  scrape_interval:    60s
  evaluation_interval: 60s

scrape_configs:
  - job_name: prometheus
    static_configs:
      - targets: ['localhost:9090']
        labels:
          instance: prometheus
  - job_name: win
    file_sd_configs:
    - files: ['/etc/prometheus/win_*.json']  #这里填写的docker内的路径
      refresh_interval: 10s

  • docker run -d -p 9090:9090 --name prom -v /root/conf.d:/etc/prometheus/ -v /root/prometheus-data:/prometheus-data prom/prometheus --config.file=/etc/prometheus/prometheus.yml --web.enable-lifecycle --web.enable-admin-api --storage.tsdb.retention=90d
  • 访问http://ip:9090/graph 打开并显示页面
  • 其他操作指令:
  1. curl -XPOST http://localhost:9090/-/reload 热部署
  2. curl -X POST http://localhost:9090/-/quit 关闭
  3. curl -X POST http://127.0.0.1:9090/api/v1/admin/tsdb/clean_tombstones 清理数据
  4. curl -X POST -g 'http://localhost:9090/api/v1/admin/tsdb/delete_series?match[]={instance="xxxx"}' 清除指定实例的数据

安装grafana

  • docker pull grafana/grafana

  • mkdir data_grafana

  • chmod 777 data_grafana/

  • docker run -d -p 3000:3000 --name=grafana -v /root/data_grafana:/var/lib/grafana grafana/grafana

  • docker exec -it grafana bash #查看登陆账号和密码

  • vi /etc/grafana/grafana.ini

安装linux监控:

  • 官网下载:node_exporter
  • tar xvfz node_exporter-1.0.0-rc.0.linux-amd64.tar.gz
  • cd 到 node_exporter 目录下,有一个 node_exporter 文件,./node_exporter 也可以nohup ./node_exporter >> output.log 2>&1 &
  • http://ip:9100 #访问

安装windows监控:

  • 监控windows 需要 Windows系统性能指标采集器
  • 下载地址:https://github.com/martinlindhe/wmi_exporter/releases
  • 可用 https://github.com/martinlindhe/wmi_exporter/releases/download/v0.3.3/wmi_exporter-0.3.3-amd64.msi
  • 访问http://IP:9182/metrics;显示以下数据说明数据采集器安装成功

安装发现服务

docker pull consul

  • job_name: 'consul'
    consul_sd_configs:
    - server: '192.168.16.173:8900'
    services: [] #匹配所有service
    relabel_configs:
    - source_labels: [__meta_consul_service] #service 源标签
    regex: "consul" #匹配为"consul" 的service
    action: drop # 执行的动作
    - source_labels: [__meta_consul_service] # 将service 的label重写为appname
    target_label: appname
    - source_labels: [__meta_consul_service_address]
    target_label: instance
  • curl -X PUT -d '{"id": "test1","name": "test1","address": "10.17.3.126","port": 9182,"tags": ["test"],"checks": [{"http": "http://10.17.3.126:9182/","interval": "5s"}]}' http://localhost:8500/v1/agent/service/register 插入注册信息
  • curl -X PUT http://localhost:8500/v1/agent/service/deregister/xxxx 删除注册信息

附录

window监控json

{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": "-- Grafana --",
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "description": "Basic overview of windows host metrics, based on WMI Exporter (v0.7.0)",
  "editable": true,
  "gnetId": 10171,
  "graphTooltip": 0,
  "id": 1,
  "iteration": 1589195042081,
  "links": [
    {
      "icon": "external link",
      "tags": [],
      "title": "http://172.16.112.98:9090/targets",
      "tooltip": "",
      "type": "link",
      "url": "http://172.16.112.98:9090/targets"
    }
  ],
  "panels": [
    {
      "collapsed": false,
      "datasource": null,
      "gridPos": {
        "h": 1,
        "w": 24,
        "x": 0,
        "y": 0
      },
      "id": 2,
      "panels": [],
      "title": "Host Overview",
      "type": "row"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": false,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
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      "datasource": "Prometheus",
      "decimals": 0,
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      "format": "s",
      "gauge": {
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        "minValue": 0,
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        "thresholdLabels": false,
        "thresholdMarkers": true
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      "gridPos": {
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        "w": 2,
        "x": 0,
        "y": 1
      },
      "id": 10,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
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          "name": "value to text",
          "value": 1
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        {
          "name": "range to text",
          "value": 2
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      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
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      ],
      "repeat": "host",
      "repeatDirection": "v",
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          "selected": true,
          "text": "10.108.70.18",
          "value": "10.108.70.18"
        }
      },
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
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          "format": "time_series",
          "intervalFactor": 1,
          "legendFormat": "",
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      ],
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      ],
      "valueName": "avg"
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    {
      "cacheTimeout": null,
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      },
      "tableColumn": "",
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      ],
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          "format": "time_series",
          "intervalFactor": 1,
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "RAM",
      "type": "singlestat",
      "valueFontSize": "80%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
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      ],
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    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
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      "id": 7,
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      ],
      "maxDataPoints": 100,
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      "postfixFontSize": "50%",
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      "rangeMaps": [
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          "intervalFactor": 1,
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linux监控json

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