promethues通过alertmanager通过企微发送告警

###alertmanager的目录
[root@test /data/software/alertmanager]# ll
total 62512
-rwxr-xr-x 1 3434 3434 35410965 Aug 24 19:12 alertmanager
-rw-r--r-- 1 3434 3434      727 Nov 30 14:33 alertmanager.yml
-rwxr-xr-x 1 3434 3434 28566971 Aug 24 19:13 amtool
-rw-r--r-- 1 3434 3434    11357 Aug 24 19:14 LICENSE
-rw-r--r-- 1 3434 3434      457 Aug 24 19:14 NOTICE
-rw-r--r-- 1 root root     1305 Nov 30 17:35 wechat.tmpl

###alertmanager的配置文件
[root@test /data/software/alertmanager]# cat alertmanager.yml 
route:
  group_by: ['alertname']
  group_wait: 10s
  group_interval: 5m
  repeat_interval: 1h
  receiver: 'wechat'
#  receiver: 'web.hook'
#receivers:
#  - name: 'web.hook'
#    webhook_configs:
#      - url: 'http://127.0.0.1:8080/adapter/wx'
#        send_resolved: false
templates:
  - '/data/software/alertmanager/*.tmpl'
receivers:
- name: 'wechat'
  wechat_configs:
  - api_secret: '企微应用的key'
    corp_id: '企微公司id'
    agent_id: '企微应用id'
    #to_party: '1'  #企业微信中部门ID
    to_user: '要发送人的id'
    send_resolved: true
inhibit_rules:
  - source_match:
      severity: 'critical'
    target_match:
      severity: 'warning'
    equal: ['alertname', 'instance']

###消息通知的模板
[root@test /data/software/alertmanager]# cat wechat.tmpl
{{ define "wechat.default.message" }}
{{- if gt (len .Alerts.Firing) 0 -}}
{{- range $index, $alert := .Alerts -}}
{{- if eq $index 0 }}
========= 监控报警 =========
告警状态：{{   .Status }}
告警级别：{{ .Labels.severity }}
告警类型：{{ $alert.Labels.alertname }}
故障主机: {{ $alert.Labels.instance }}
告警主题: {{ $alert.Annotations.summary }}
告警详情: {{ $alert.Annotations.message }}{{ $alert.Annotations.description}};
触发阀值：{{ .Annotations.value }}
故障时间: {{ ($alert.StartsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
========= = end =  =========
{{- end }}
{{- end }}
{{- end }}
{{- if gt (len .Alerts.Resolved) 0 -}}
{{- range $index, $alert := .Alerts -}}
{{- if eq $index 0 }}
========= 异常恢复 =========
告警状态：{{   .Status }}
告警类型：{{ $alert.Labels.alertname }}
告警主题: {{ $alert.Annotations.summary }}
告警详情: {{ $alert.Annotations.message }}{{ $alert.Annotations.description}};
故障时间: {{ ($alert.StartsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
恢复时间: {{ ($alert.EndsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
{{- if gt (len $alert.Labels.instance) 0 }}
实例信息: {{ $alert.Labels.instance }}
{{- end }}
========= = end =  =========
{{- end }}
{{- end }}
{{- end }}
{{- end }}

###prometheus配置文件
[root@test /data/software/prometheus]# cat prometheus.yml 
# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
    - static_configs:
        - targets:
          - localhost:9093    ###这里是 alertmanagers的端口

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  - "/data/software/prometheus/rules/*.yml"    ###这里是告警规则放置的目录
  # - "second_rules.yml"

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: "prometheus-server"
    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.
    static_configs:
      - targets: ["prometheus.com:9090"]

###cpu告警规则
[root@test /data/software/prometheus/rules]# cat cpu_over.yml 
groups:
- name: CPU报警规则50
  rules:
  - alert: CPU使用率告警
    expr: 100 - (avg by (instance)(irate(node_cpu_seconds_total{mode="idle"}[1m]) )) * 100 > 50
    for: 1m
    labels:
      severity: warning
    annotations:
      summary: "CPU使用率正在飙升。注意！！！"
      description: "CPU使用率超过50%（当前值：{{ $value }}%）"

- name: CPU报警规则70
  rules:
  - alert: CPU使用率告警
    expr: 100 - (avg by (instance)(irate(node_cpu_seconds_total{mode="idle"}[1m]) )) * 100 > 70
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "CPU使用率正在飙升。关注！！！"
      description: "CPU使用率超过70%（当前值：{{ $value }}%）"

- name: CPU报警规则90
  rules:
  - alert: CPU使用率告警
    expr: 100 - (avg by (instance)(irate(node_cpu_seconds_total{mode="idle"}[1m]) )) * 100 > 90
    for: 1m
    labels:
      severity: emergency
    annotations:
      summary: "CPU使用率正在飙升。严重，立即处理！！！"
      description: "CPU使用率超过90%（当前值：{{ $value }}%）"


告警规则可参考：
https://www.modb.pro/db/335991
https://blog.csdn.net/agonie201218/article/details/126243110
https://cloud.tencent.com/developer/article/2216582?areaSource=102001.2&traceId=pWGCiwZuYxp0FamqoV8-w