【玩转Docker】使用Docker部署alertmanager并配置prometheus告警

mkdir -p /etc/alertmanager/
mkdir -p /etc/alertmanager/template

vim /etc/alertmanager/alertmanager.yml

global:
  resolve_timeout: 5m
  smtp_from: 'i@valarx.com' # 发件人
  smtp_smarthost: 'smtp.office365.com:587' # 邮箱服务器的 POP3/SMTP 主机配置 smtp.qq.com 端口为 465 或 587
  smtp_auth_username: 'i@valarx.com' # 用户名
  smtp_auth_password: 'xxxx' # 授权码 
  smtp_require_tls: true
  smtp_hello: 'xxxx'
templates:
  - '/etc/alertmanager/template/*.tmpl'
route:
  group_by: ['alertname'] # 告警分组
  group_wait: 5s # 在组内等待所配置的时间，如果同组内，5 秒内出现相同报警，在一个组内出现。
  group_interval: 5m # 如果组内内容不变化，合并为一条警报信息，5 分钟后发送。
  repeat_interval: 5m # 发送告警间隔时间 s/m/h，如果指定时间内没有修复，则重新发送告警
  receiver: 'email' # 优先使用 wechat 发送
  routes: #子路由，使用 email 发送
  - receiver: email
    match_re:
      serverity: email
receivers:
- name: 'email'
  email_configs:
  - to: 'xxx@qq.com' # 如果想发送多个人就以 ',' 做分割
    send_resolved: true
    html: '{{ template "email.html" . }}'   #使用自定义的模板发送
- name: 'wechat'
  wechat_configs:
  - corp_id: 'xxxxxxxxxxxxx' #企业 ID
    api_url: 'https://qyapi.weixin.qq.com/cgi-bin/' # 企业微信 api 接口 统一定义
    to_party: '2'  # 通知组 ID
    agent_id: '1000002' # 新建应用的 agent_id
    api_secret: 'xxxxxxxxxxxxxx' # 生成的 secret
    send_resolved: true

vim /etc/alertmanager/template/email.tmpl

{{ define "email.html" }}
{{ range $i, $alert :=.Alerts }}
========监控报警==========<br>
告警状态：{{   .Status }}<br>
告警级别：{{ $alert.Labels.severity }}<br>
告警类型：{{ $alert.Labels.alertname }}<br>
告警应用：{{ $alert.Annotations.summary }}<br>
告警主机：{{ $alert.Labels.instance }}<br>
告警详情：{{ $alert.Annotations.description }}<br>
触发阀值：{{ $alert.Annotations.value }}<br>
告警时间：{{ $alert.StartsAt.Format "2006-01-02 15:04:05" }}<br>
========end=============<br>
{{ end }}
{{ end }}

docker run -d --restart=always \
--name=alertmanager \
-p 9093:9093 \
-v /etc/alertmanager:/etc/alertmanager \
-v /etc/localtime:/etc/localtime \
prom/alertmanager:latest

global:
  scrape_interval:     5s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 5s # 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:
      - 10.0.4.10:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  - "/etc/prometheus/rules/*.rules"
  # - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.

vim /etc/prometheus/rules/alerts.rules
这边是我自己创建的两个告警规则：
主机CPU利用率>85%
主机MEM利用率>70%

---

groups:
- name: hostStatsAlert
  rules:
  - alert: hostCpuUsageAlert
    expr: (1 - avg(irate(node_cpu_seconds_total{mode="idle"}[5m])) by (instance))*100 > 85
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "Instance {{ $labels.instance }} CPU usage high"
      description: "{{ $labels.instance }} CPU usage above 85% (current value: {{ $value }})"
  - alert: hostMemUsageAlert
    expr: (1 - (node_memory_MemAvailable_bytes{} / (node_memory_MemTotal_bytes{})))* 100 > 70
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "Instance {{ $labels.instance }} MEM usage high"
      description: "{{ $labels.instance }} MEM usage above 70% (current value: {{ $value }})"

docker restart prometheus
#docker安装prometheus的方法请参考：https://www.valarx.com/linux/docker-prometheus.html