docker部署钉钉机器人报警通知怎么实现

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目录结构

[root@node1 ~]# tree promprom├── docker-compose.yml  #docker-compose文件├── grafana  #grafana数据挂载├── prometheus_data  #Prometheus数据挂载├── rules    #报警规则文件│   ├── cpu_over.yml│   ├── disk_over.yml│   ├── memory_over.yml│   └── node_alived.yml└── yml    ├── alertmanager.yml   alertmanager配置    ├── config.yml   钉钉机器人配置     └── prometheus.yml   Prometheus配置

[root@node1 prom]# cat docker-compose.yml version: "3.7"services:  node-exporter:    image: prom/node-exporter:latest    container_name: "node-exporter"    ports:      - "9100:9100"    restart: always  cadvisor:    image: google/cadvisor:latest    container_name: cadvisor    restart: always    ports:      - '8080:8080'  prometheus:    image: prom/prometheus:latest    container_name: prometheus    ports:      - "9090:9090"    restart: always    volumes:      - "./yml/prometheus.yml:/etc/prometheus/prometheus.yml"      - "./prometheus_data:/prometheus"      - "./rules:/etc/prometheus/rules"  grafana:    image: grafana/grafana    container_name: "grafana"    ports:      - "3000:3000"    restart: always    volumes:      - "./grafana:/var/lib/grafana"  alertmanager:    image: prom/alertmanager:latest    restart: "always"    ports:      - 9093:9093    container_name: "alertmanager"    volumes:      - "./yml/alertmanager.yml:/etc/alertmanager/alertmanager.yml"  webhook:    image: timonwong/prometheus-webhook-dingtalk    restart: "always"    ports:      - 8060:8060    container_name: "webhook"             volumes:      - "./yml/config.yml:/etc/prometheus-webhook-dingtalk/config.yml"

[root@node1 prom]# cat yml/prometheus.yml # my global configglobal:  # 此片段指定的是prometheus的全局配置， 比如采集间隔，抓取超时时间等.  scrape_interval: 1m  # 抓取间隔 默认1m  evaluation_interval: 1m   # 评估规则间隔 默认1m  # scrape_timeout is set to the global default (10s).# Alertmanager configuration # 此片段指定报警配置， 这里主要是指定prometheus将报警规则推送到指定的alertmanager实例地址alerting:   alertmanagers:    - static_configs:        - targets:           - 192.168.10.10:9093# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.rule_files:   - "/etc/prometheus/rules/*.yml"   #报警规则文件#  - "cpu_over.yml"#  - "disk_over.yml"#  - "memory_over.yml"#  - "node_alived.yml"# A scrape configuration containing exactly one endpoint to scrape:# Here it's Prometheus itself.# 抓取配置列表scrape_configs:  - job_name: "prometheus"    static_configs:      - targets: ["localhost:9090"]   - job_name: "linux"    static_configs:      - targets: ["192.168.10.10:9100","192.168.10.10:8080","192.168.10.20:9100","192.168.10.20:8080"]

[root@node1 prom]#cat alertmanager.ymlglobal:  resolve_timeout: 5m  #在指定时间内没有新的事件就发送恢复通知route:  receiver: webhook  #设置接收人  group_wait: 1m  #组告警等待时间。在等待时间结束后，如果有同组告警一起发出  group_interval: 1m  #两组告警间隔时间。  repeat_interval: 1m  #重复告警间隔时间，减少相同邮件的发送频率。  group_by: [alertname] #采用那个标签来作为分组。receivers:   #通知接收者列表- name: webhook  webhook_configs:  - url: http://192.168.10.10:8060/dingtalk/webhook1/send                 send_resolved: true#########################################################[root@node1 prom]# cat yml/config.yml targets:  webhook1:    url: https://oapi.dingtalk.com/robot/send?access_token=XXXXXX    #webhook    secret: SEC000000    #加签

[root@node1 prom]#cat alertmanager.ymlglobal:  resolve_timeout: 5m  #在指定时间内没有新的事件就发送恢复通知route:  receiver: webhook  #设置接收人  group_wait: 1m  #组告警等待时间。在等待时间结束后，如果有同组告警一起发出  group_interval: 1m  #两组告警间隔时间。  repeat_interval: 1m  #重复告警间隔时间，减少相同邮件的发送频率。  group_by: [alertname] #采用那个标签来作为分组。receivers:   #通知接收者列表- name: webhook  webhook_configs:  - url: http://192.168.10.10:8060/dingtalk/webhook1/send                 send_resolved: true#########################################################[root@node1 prom]# cat yml/config.yml targets:  webhook1:    url: https://oapi.dingtalk.com/robot/send?access_token=XXXXXX    #webhook    secret: SEC000000    #加签

配置完成后docker-compose up -d 启动容器

http://localhost:8080 #cadvisor
http://localhost:8080/metrics #cadvisor数据
http://localhost:9100/metrics #node-exporter数据
http://localhost:9090 #prometheus
http://localhost:3000 #grafana

http://localhost:9090/alerts

实现效果

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