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基于docker的prometheus+grafana+altermanager+prometheus-webhook-dingtalk钉钉报警_prometheus-webhook-dingtalk安装

作者：我家自动化 | 2024-07-13 10:00:25

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prometheus-webhook-dingtalk安装

一、各软件功能简介

prometheus：Prometheus(是由go语言(golang)开发)是一套开源的监控&报警&时间序列数 据库的组合。主要优点：外部依赖安装使用超简单、系统集成 多等
grafana：Grafana 是一款采用 go 语言编写的开源应用，主要用于大规模指标数据的 可视化展现，是网络架构和应用分析中最流行的时序数据展示工具，目前已经支 持绝大部分常用的时序数据库。主要优点：展示方便、数据源种类多、内置通知提醒功能
altermanager:AlterManager是一个基于开源框架Prometheus和Grafana的告警管理系统。它可以帮助我们轻松地实现监控告警功能，并支持多种告警方式。主要优点：告警方式多样
prometheus-webhook-dingtalk：prometheus-webhook-dingtalk 是一个用于将 Prometheus 告警通知发送到钉钉群组的 webhook 模块。它提供了一种与钉钉无缝集成的方式，使监控团队能够及时接收和处理告警通知，并进行有效的团队协作。

二、基础准备工作

docker安装：这个太简单了我就不介绍了，后期有时间再出一篇专门安装docker的
服务器：由于我是测试就是用了一台机器centos7 ip：10.10.30.34(后期中配置文件需要用到)
安装目录：创建目录mkdir -p /data/prometheus 切换目录cd /data/prometheus/，主要用于各种软件的配置和数据文件存放

三、prometheus准备工作

3.1、prometheus配置文件和数据文件

数据文件准备：创建目录mkdir -p prometheus/data 修改权限chmod 777 prometheus/data实际应用可以根据具体使用情况设置权限
配置文件准备：vim prometheus/prometheus.yml

global:
  scrape_interval:     15s    # 多久收集一次数据
  evaluation_interval: 15s    # 多久评估一次规则
  scrape_timeout:      10s    # 每次收集数据的超时时间

scrape_configs:               #收集数据配置列表
  - job_name: prometheus            # 必须配置, 自动附加的job labels, 必须唯一
    static_configs:
      - targets: ['10.10.30.34:9090']       # 指定prometheusip端口
        labels:
          instance: prometheus                 #标签

  - job_name: ehospital-exploit-database #监控客户端
    static_configs:
      - targets: ['10.10.30.34:9100']
        labels:
          instance: eehospital-exploit-database


alerting:                         #Alertmanager相关的配置
  alertmanagers:
  - static_configs:
    - targets:
      - 10.10.30.34:9093         #指定告警模块

rule_files:                      #告警规则文件, 可以使用通配符 
  - "/etc/prometheus/rules/*.yml"

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3.2、prometheus告警配置

创建目录：mkdir rules 用于存放告警和触发文件
通用规则：vim rules/alert-rules.yml

groups:
  - name: prometheus-alert
    rules:
    - alert: prometheus-down
      expr: prometheus:up == 0
      for: 1m
      labels:
        severity: 'critical'
      annotations:
        summary: "instance: {{ $labels.instance }} 宕机了"
        description: "instance: {{ $labels.instance }} \n- job: {{ $labels.job }} 关机了， 时间已经1分钟了。"
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"



    - alert: prometheus-cpu-high
      expr:  prometheus:cpu:total:percent > 80
      for: 3m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} cpu 使用率高于 {{ $value }}"
        description: "instance: {{ $labels.instance }} \n- job: {{ $labels.job }} CPU使用率已经持续一分钟高过80% 。"
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"

    - alert: prometheus-cpu-iowait-high
      expr:  prometheus:cpu:iowait:percent >= 12
      for: 3m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} cpu iowait 使用率高于 {{ $value }}"
        description: "instance: {{ $labels.instance }} \n- job: {{ $labels.job }} cpu iowait使用率已经持续三分钟高过12%"
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"



    - alert: prometheus-load-load1-high
      expr:  (prometheus:load:load1) > (prometheus:cpu:count) * 1.2
      for: 3m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} load1 使用率高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-memory-high
      expr:  prometheus:memory:used:percent > 85
      for: 3m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} memory 使用率高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-disk-high
      expr:  prometheus:disk:used:percent > 80
      for: 10m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} disk 使用率高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-disk-read:count-high
      expr:  prometheus:disk:read:count:rate > 2000
      for: 2m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} iops read 使用率高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-disk-write-count-high
      expr:  prometheus:disk:write:count:rate > 2000
      for: 2m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} iops write 使用率高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-disk-read-mb-high
      expr:  prometheus:disk:read:mb:rate > 60
      for: 2m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} 读取字节数 高于 {{ $value }}"
        description: ""
        instance: "{{ $labels.instance }}"
        value: "{{ $value }}"


    - alert: prometheus-disk-write-mb-high
      expr:  prometheus:disk:write:mb:rate > 60
      for: 2m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} 写入字节数 高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-filefd-allocated-percent-high
      expr:  prometheus:filefd_allocated:percent > 80
      for: 10m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} 打开文件描述符 高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-network-netin-error-rate-high
      expr:  prometheus:network:netin:error:rate > 4
      for: 1m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} 包进入的错误速率 高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-network-netin-packet-rate-high
      expr:  prometheus:network:netin:packet:rate > 35000
      for: 1m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} 包进入速率 高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-network-netout-packet-rate-high
      expr:  prometheus:network:netout:packet:rate > 35000
      for: 1m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} 包流出速率 高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-network-tcp-total-count-high
      expr:  prometheus:network:tcp:total:count > 40000
      for: 1m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} tcp连接数量 高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-process-zoom-total-count-high
      expr:  prometheus:process:zoom:total:count > 10
      for: 10m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} 僵死进程数量 高于 {{ $value }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"


    - alert: prometheus-time-offset-high
      expr:  prometheus:time:offset > 0.03
      for: 2m
      labels:
        severity: info
      annotations:
        summary: "instance: {{ $labels.instance }} {{ $labels.desc }}  {{ $value }} {{ $labels.unit }}"
        description: ""
        value: "{{ $value }}"
        instance: "{{ $labels.instance }}"

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细化规则：vim rules/record-rules.yml

groups:
  - name: prometheus-record
    rules:
    - expr: up{job!="prometheus"}
      record: prometheus:up
      labels:
        desc: "节点是否在线, 在线1,不在线0"
        unit: " "
        job: "prometheus"
    - expr: time() - node_boot_time_seconds{}
      record: prometheus:node_uptime
      labels:
        desc: "节点的运行时间"
        unit: "s"
        job: "prometheus"

    - expr: (1 - avg by (environment,instance) (irate(node_cpu_seconds_total{job!="prometheus",mode="idle"}[5m])))  * 100
      record: prometheus:cpu:total:percent
      labels:
        desc: "节点的cpu总消耗百分比"
        unit: "%"
        job: "prometheus"

    - expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job!="prometheus",mode="idle"}[5m])))  * 100
      record: prometheus:cpu:idle:percent
      labels:
        desc: "节点的cpu idle百分比"
        unit: "%"
        job: "prometheus"

    - expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job!="prometheus",mode="iowait"}[5m])))  * 100
      record: prometheus:cpu:iowait:percent
      labels:
        desc: "节点的cpu iowait百分比"
        unit: "%"
        job: "prometheus"

    - expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job!="prometheus",mode="system"}[5m])))  * 100
      record: prometheus:cpu:system:percent
      labels:
        desc: "节点的cpu system百分比"
        unit: "%"
        job: "prometheus"

    - expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job!="prometheus",mode="user"}[5m])))  * 100
      record: prometheus:cpu:user:percent
      labels:
        desc: "节点的cpu user百分比"
        unit: "%"
        job: "prometheus"

    - expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job!="prometheus",mode=~"softirq|nice|irq|steal"}[5m])))  * 100
      record: prometheus:cpu:other:percent
      labels:
        desc: "节点的cpu 其他的百分比"
        unit: "%"
        job: "prometheus"

    - expr: node_memory_MemTotal_bytes{job!="prometheus"}
      record: prometheus:memory:total
      labels:
        desc: "节点的内存总量"
        unit: byte
        job: "prometheus"

    - expr: node_memory_MemFree_bytes{job!="prometheus"}
      record: prometheus:memory:free
      labels:
        desc: "节点的剩余内存量"
        unit: byte
        job: "prometheus"

    - expr: node_memory_MemTotal_bytes{job!="prometheus"} - node_memory_MemFree_bytes{job!="prometheus"}
      record: prometheus:memory:used
      labels:
        desc: "节点的已使用内存量"
        unit: byte
        job: "prometheus"

    - expr: node_memory_MemTotal_bytes{job!="prometheus"} - node_memory_MemAvailable_bytes{job!="prometheus"}
      record: prometheus:memory:actualused
      labels:
        desc: "节点用户实际使用的内存量"
        unit: byte
        job: "prometheus"

    - expr: (1-(node_memory_MemAvailable_bytes{job!="prometheus"} / (node_memory_MemTotal_bytes{job!="prometheus"})))* 100
      record: prometheus:memory:used:percent
      labels:
        desc: "节点的内存使用百分比"
        unit: "%"
        job: "prometheus"

    - expr: ((node_memory_MemAvailable_bytes{job!="prometheus"} / (node_memory_MemTotal_bytes{job!="prometheus"})))* 100
      record: prometheus:memory:free:percent
      labels:
        desc: "节点的内存剩余百分比"
        unit: "%"
        job: "prometheus"

    - expr: sum by (instance) (node_load1{job!="prometheus"})
      record: prometheus:load:load1
      labels:
        desc: "系统1分钟负载"
        unit: " "
        job: "prometheus"

    - expr: sum by (instance) (node_load5{job!="prometheus"})
      record: prometheus:load:load5
      labels:
        desc: "系统5分钟负载"
        unit: " "
        job: "prometheus"

    - expr: sum by (instance) (node_load15{job!="prometheus"})
      record: prometheus:load:load15
      labels:
        desc: "系统15分钟负载"
        unit: " "
        job: "prometheus"

    - expr: node_filesystem_size_bytes{job!="prometheus" ,fstype=~"ext4|xfs"}
      record: prometheus:disk:usage:total
      labels:
        desc: "节点的磁盘总量"
        unit: byte
        job: "prometheus"

    - expr: node_filesystem_avail_bytes{job!="prometheus",fstype=~"ext4|xfs"}
      record: prometheus:disk:usage:free
      labels:
        desc: "节点的磁盘剩余空间"
        unit: byte
        job: "prometheus"

    - expr: node_filesystem_size_bytes{job!="prometheus",fstype=~"ext4|xfs"} - node_filesystem_avail_bytes{job!="prometheus",fstype=~"ext4|xfs"}
      record: prometheus:disk:usage:used
      labels:
        desc: "节点的磁盘使用的空间"
        unit: byte
        job: "prometheus"

    - expr:  (1 - node_filesystem_avail_bytes{job!="prometheus",fstype=~"ext4|xfs"} / node_filesystem_size_bytes{job!="prometheus",fstype=~"ext4|xfs"}) * 100
      record: prometheus:disk:used:percent
      labels:
        desc: "节点的磁盘的使用百分比"
        unit: "%"
        job: "prometheus"

    - expr: irate(node_disk_reads_completed_total{job!="prometheus"}[1m])
      record: prometheus:disk:read:count:rate
      labels:
        desc: "节点的磁盘读取速率"
        unit: "次/秒"
        job: "prometheus"

    - expr: irate(node_disk_writes_completed_total{job!="prometheus"}[1m])
      record: prometheus:disk:write:count:rate
      labels:
        desc: "节点的磁盘写入速率"
        unit: "次/秒"
        job: "prometheus"

    - expr: (irate(node_disk_written_bytes_total{job!="prometheus"}[1m]))/1024/1024
      record: prometheus:disk:read:mb:rate
      labels:
        desc: "节点的设备读取MB速率"
        unit: "MB/s"
        job: "prometheus"

    - expr: (irate(node_disk_read_bytes_total{job!="prometheus"}[1m]))/1024/1024
      record: prometheus:disk:write:mb:rate
      labels:
        desc: "节点的设备写入MB速率"
        unit: "MB/s"
        job: "prometheus"

    - expr:   (1 -node_filesystem_files_free{job!="prometheus",fstype=~"ext4|xfs"} / node_filesystem_files{job!="prometheus",fstype=~"ext4|xfs"}) * 100
      record: prometheus:filesystem:used:percent
      labels:
        desc: "节点的inode的剩余可用的百分比"
        unit: "%"
        job: "prometheus"

    - expr: node_filefd_allocated{job!="prometheus"}
      record: prometheus:filefd_allocated:count
      labels:
        desc: "节点的文件描述符打开个数"
        unit: "%"
        job: "prometheus"

    - expr: node_filefd_allocated{job!="prometheus"}/node_filefd_maximum{job!="prometheus"} * 100
      record: prometheus:filefd_allocated:percent
      labels:
        desc: "节点的文件描述符打开百分比"
        unit: "%"
        job: "prometheus"


    - expr: avg by (environment,instance,device) (irate(node_network_receive_bytes_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
      record: prometheus:network:netin:bit:rate
      labels:
        desc: "节点网卡eth0每秒接收的比特数"
        unit: "bit/s"
        job: "prometheus"

    - expr: avg by (environment,instance,device) (irate(node_network_transmit_bytes_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
      record: prometheus:network:netout:bit:rate
      labels:
        desc: "节点网卡eth0每秒发送的比特数"
        unit: "bit/s"
        job: "prometheus"

    - expr: avg by (environment,instance,device) (irate(node_network_receive_packets_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
      record: prometheus:network:netin:packet:rate
      labels:
        desc: "节点网卡每秒接收的数据包个数"
        unit: "个/秒"
        job: "prometheus"


    - expr: avg by (environment,instance,device) (irate(node_network_transmit_packets_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
      record: prometheus:network:netout:packet:rate
      labels:
        desc: "节点网卡发送的数据包个数"
        unit: "个/秒"
        job: "prometheus"

    - expr: avg by (environment,instance,device) (irate(node_network_receive_errs_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
      record: prometheus:network:netin:error:rate
      labels:
        desc: "节点设备驱动器检测到的接收错误包的数量"
        unit: "个/秒"
        job: "prometheus"

    - expr: avg by (environment,instance,device) (irate(node_network_transmit_errs_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
      record: prometheus:network:netout:error:rate
      labels:
        desc: "节点设备驱动器检测到的发送错误包的数量"
        unit: "个/秒"
        job: "prometheus"

    - expr: node_tcp_connection_states{job!="prometheus", state="established"}
      record: prometheus:network:tcp:established:count
      labels:
        desc: "节点当前established的个数"
        unit: "个"
        job: "prometheus"

    - expr: node_tcp_connection_states{job!="prometheus", state="time_wait"}
      record: prometheus:network:tcp:timewait:count
      labels:
        desc: "节点timewait的连接数"
        unit: "个"
        job: "prometheus"

    - expr: sum by (environment,instance) (node_tcp_connection_states{job!="prometheus"})
      record: prometheus:network:tcp:total:count
      labels:
        desc: "节点tcp连接总数"
        unit: "个"
        job: "prometheus"

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四、grafana配置

创建目录：mkdir -p grafana/grafana-storage
修改权限：chmod 777 grafana/grafana-storage
grafana.ini准备：先启动一个grafana容器docker run -d --name=grafana -p 3000:3000 grafana/grafana，然后拷贝文件docker cp 93ac9e93e97a:/etc/grafana/grafana.ini ./grafana/

五、alertmanager配置

创建文件：mkdir alert
配置文件：vim alert/alertmanager.yml

route:
  group_by: ['dingding'] #根据告警规则名进行分组
  group_wait: 30s  #在组内等待配置时间，如组内30s出现同一报警，在一个组内出现
  group_interval: 1h #告警频率，一条告警消息发送后，等待1h发送第二组报警
  repeat_interval: 1h #报警间隔时间，如果1h内未修复，重新发送告警
  receiver: 'dingding.webhook1'
  routes:
  - receiver: 'dingding.webhook1'
    match_re:
      alertname: ".*"
receivers:
  - name: 'dingding.webhook1' #可设置多个接收方
    webhook_configs:
    - url: 'http://10.10.30.34:8060/dingtalk/webhook1/send'
      send_resolved: true #恢复后收到告警
inhibit_rules:
  - source_match:  #配置了仰制告警
      severity: 'critical'
    target_match:
      severity: 'warning'
    equal: ['alertname', 'dev', 'instance']


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六、webhook配置

创建目录：mkdir webhook
配置文件：vim webhook/config.yml

## Request timeout
# timeout: 5s

## Uncomment following line in order to write template from scratch (be careful!)
#no_builtin_template: true

## Customizable templates path
templates:
#  - contrib/templates/legacy/template.tmpl
  - /etc/prometheus-webhook-dingtalk/templates/default.tmpl

## You can also override default template using `default_message`
## The following example to use the 'legacy' template from v0.3.0
#default_message:
#  title: '{{ template "legacy.title" . }}'
#  text: '{{ template "legacy.content" . }}'

## Targets, previously was known as "profiles"
targets:
  webhook1:
    url: https://oapi.dingtalk.com/robot/send?access_token=xxxxxxxx  #钉钉机器人路径
    # secret for signature
    secret: SEC74939daa62xxx.xxxxxx   #钉钉机器人加密标签
  webhook2:
    url: https://oapi.dingtalk.com/robot/send?access_token=xxxxxxxxxxxx
  webhook_legacy:
    url: https://oapi.dingtalk.com/robot/send?access_token=xxxxxxxxxxxx
    # Customize template content
    message:
      # Use legacy template
      title: '{{ template "legacy.title" . }}'
      text: '{{ template "legacy.content" . }}'
  webhook_mention_all:
    url: https://oapi.dingtalk.com/robot/send?access_token=xxxxxxxxxxxx
    mention:
      all: true
  webhook_mention_users:
    url: https://oapi.dingtalk.com/robot/send?access_token=xxxxxxxxxxxx
    mention:
      mobiles: ['156xxxx8827', '189xxxx8325']


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prometheus-webhook-dingtalk模板
创建目录：mkdir webhook/template
模板创建：vim webhook/template/default.tmpl

{{ define "__subject" }}
[{{ .Status | toUpper }}{{ if eq .Status "firing" }}:{{ .Alerts.Firing | len }}{{ end }}]
{{ end }}
 
 
{{ define "__alert_list" }}{{ range . }}
---
{{ if .Labels.owner }}@{{ .Labels.owner }}{{ end }}
 
**告警主题**: {{ .Annotations.summary }}

**告警类型**: {{ .Labels.alertname }}
 
**告警级别**: {{ .Labels.severity }} 
 
**告警主机**: {{ .Labels.instance }} 
 
**告警信息**: {{ index .Annotations "description" }}
 
**告警时间**: {{ dateInZone "2006.01.02 15:04:05" (.StartsAt) "Asia/Shanghai" }}
{{ end }}{{ end }}
 
{{ define "__resolved_list" }}{{ range . }}
---
{{ if .Labels.owner }}@{{ .Labels.owner }}{{ end }}

**告警主题**: {{ .Annotations.summary }}

**告警类型**: {{ .Labels.alertname }} 
 
**告警级别**: {{ .Labels.severity }}
 
**告警主机**: {{ .Labels.instance }}
 
**告警信息**: {{ index .Annotations "description" }}
 
**告警时间**: {{ dateInZone "2006.01.02 15:04:05" (.StartsAt) "Asia/Shanghai" }}
 
**恢复时间**: {{ dateInZone "2006.01.02 15:04:05" (.EndsAt) "Asia/Shanghai" }}
{{ end }}{{ end }}
 
 
{{ define "default.title" }}
{{ template "__subject" . }}
{{ end }}
 
{{ define "default.content" }}
{{ if gt (len .Alerts.Firing) 0 }}
**====侦测到{{ .Alerts.Firing | len  }}个故障====**
{{ template "__alert_list" .Alerts.Firing }}
---
{{ end }}
 
{{ if gt (len .Alerts.Resolved) 0 }}
**====恢复{{ .Alerts.Resolved | len  }}个故障====**
{{ template "__resolved_list" .Alerts.Resolved }}
{{ end }}
{{ end }}

{{/* Following names for compatibility */}}
{{ define "ding.link.title" }}{{ template "default.title" . }}{{ end }}
{{ define "ding.link.content" }}{{ template "default.content" . }}{{ end }}
{{ template "default.title" . }}
{{ template "default.content" . }}


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七、docker实例创建

创建yml文件：vim docker-compose.yml

version: '3.2'
services:
  prometheus:
    image: prom/prometheus
    restart: "always"
    ports:
      - 9090:9090
    container_name: "prometheus"
    volumes:
      - "./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml"
      - "./rules:/etc/prometheus/rules"
      - "./prometheus/data:/prometheus"
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'         # 设置yml路径  跟上面挂载对应
      - '--storage.tsdb.path=/prometheus'                     #设置数据路径   跟上面挂载对应


  alertmanager:
    image: prom/alertmanager:latest
    restart: "always"
    ports:
      - 9093:9093
    container_name: "alertmanager"
    volumes:
      - "./alert/alertmanager.yml:/etc/alertmanager/alertmanager.yml"
    command:
      - '--config.file=/etc/alertmanager/alertmanager.yml'         # 设置yml路径  跟上面挂载对应

  webhook:
    image: timonwong/prometheus-webhook-dingtalk
    restart: "always"
    ports:
      - 8060:8060
    container_name: "webhook"           #token指定钉钉
    volumes:
      - "./webhook/config.yml:/etc/prometheus-webhook-dingtalk/config.yml"
      - "./webhook/template/default.tmpl:/etc/prometheus-webhook-dingtalk/templates/default.tmpl"
    command:
      - '--config.file=/etc/prometheus-webhook-dingtalk/config.yml'         # 设置yml路径  跟上面挂载对应
  
  grafana:
    image: grafana/grafana
    restart: "always"
    ports:
      - 3000:3000
    container_name: "grafana"
    volumes:
      - "./grafana/grafana.ini:/etc/grafana/grafana.ini"              #配置文件自行拷贝出来
      - "./grafana/grafana-storage:/var/lib/grafana"


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创建docker：docker-compose -f docker-compose.yml up -d

八、钉钉添加机器人

自己创建一个群呗，至少两个人才能建群呀！然后按下面图片操作就行了，反正点点就行就不细说了
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
后面就是啥名字、链接、加签啥的我懒得打马了就不截图了，还不会的就呵呵了

九、验证

安都安装好了那不得验证一下啊！稍微懂点的人应该已经知道了，我配置了监控服务器的指标，但是我没有启动node-export，那肯定会报警呀！没错报警信息如下啊！
在这里插入图片描述
安装node-exporter：vim node-exporter-compose.yml

version: '3.2'
services:
  node-exporter:
    image: prom/node-exporter
    restart: "always"
    ports:
      - 9100:9100
    container_name: "node-exporter"
    volumes:
      - "/proc:/host/proc:ro"
      - "/sys:/host/sys:ro"
      - "/:/rootfs:ro"


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启动node-exporter：docker-compose -f node-exporter-compose.yml up -d
这不启动了节点吗？那肯定有修复告警呀！没错，收到了，只是我设置了1h后才再告警收到的慢了点啊！大家可以根据需求自己设置时间啊！
在这里插入图片描述
ps:水平高的大神自己看官方文档去整啊！小弟这给大家参考参考就行了啊！加油！！！

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