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使用docker-compose快速搭建prometheus

使用docker-compose快速搭建prometheus

作者: 风吹路过的云 | 来源:发表于2020-01-06 14:32 被阅读0次

    docker-compose.yml配置如下

    version: '3.7'
    
    networks:
        monitor:
            driver: bridge
    
    services:
        prometheus:
            image: prom/prometheus
            container_name: prometheus
            hostname: prometheus
            restart: always
            volumes:
                - /data/conf/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
                - /data/conf/prometheus/node_down.yml:/etc/prometheus/node_down.yml
            ports:
                - "9090:9090"
            networks:
                - monitor
    
        alertmanager:
            image: prom/alertmanager
            container_name: alertmanager
            hostname: alertmanager
            restart: always
            volumes:
                - /data/conf/prometheus/alertmanager.yml:/etc/alertmanager/alertmanager.yml
            ports:
                - "9093:9093"
            networks:
                - monitor
    
        grafana:
            image: grafana/grafana
            container_name: grafana
            hostname: grafana
            restart: always
            ports:
                - "3000:3000"
            networks:
                - monitor
    
        node-exporter:
            image: quay.io/prometheus/node-exporter
            container_name: node-exporter
            hostname: node-exporter
            restart: always
            ports:
                - "9100:9100"
            networks:
                - monitor
    
        cadvisor:
            image: google/cadvisor:latest
            container_name: cadvisor
            hostname: cadvisor
            restart: always
            volumes:
                - /:/rootfs:ro
                - /var/run:/var/run:rw
                - /sys:/sys:ro
                - /data/docker_containers/:/var/lib/docker:ro
            ports:
                - "8080:8080"
            networks:
                - monitor
    
    

    特别注意下面这个映射关系,/data/docker_containers/这个目录,是我修改了的docker存储目录

    /data/docker_containers/:/var/lib/docker:ro
    

    centos7在/usr/lib/systemd/system/docker.service文件里

    ExecStart=/usr/bin/dockerd --graph=/data/docker_containers -H fd:// --containerd=/run/containerd/containerd.sock
    

    prometheus.yml文件内容:

    # 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: ['172.1.5.220:9093']
          # - alertmanager:9093
    
    # Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
    rule_files:
      - "node_down.yml"
      # - "first_rules.yml"
      # - "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'
        static_configs:
          - targets: ['172.1.5.220:9090']
    
      - job_name: 'cadvisor'
        static_configs:
          - targets: ['172.1.5.220:8080']
    
      - job_name: 'node'
        scrape_interval: 8s
        static_configs:
          - targets: ['172.1.5.220:9100']
    
    

    node_down.yml文件内容:

    groups:
    - name: node_down
      rules:
      - alert: InstanceDown
        expr: up == 0
        for: 1m
        labels:
          user: test
        annotations:
          summary: "Instance {{ $labels.instance }} down"
          description: "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 1 minutes."
    
    

    alertmanager.yml文件内容,即配置自己的邮件服务器,和接收人邮箱,各位对应修改即可

    global: 
      smtp_smarthost: 'smtp.xxx.com:25'
      smtp_from: 'user@xxx.com'
      smtp_auth_username: 'user@xxx.com'
      smtp_auth_password: 'pwd123456'
      smtp_require_tls: false
    
    route: 
      group_by: ['alertname']
      group_wait: 10s
      group_interval: 10s
      repeat_interval: 10m
      receiver: live-monitoring
    
    receivers: 
      - name: 'live-monitoring'
        email_configs: 
        - to: 'xxx@qq.com'
    
    

    把容器跑起来后,通过http://172.1.5.220:9090/targets
    即可查看状态

    状态图
    从图中可以看出当前为UP状态(健康状态),一开始,全是DOWN状态的,跟防火墙设置有关
    [root@172-1-5-220 ~]# setenforce 0
    [root@172-1-5-220 ~]# firewall-cmd --zone=public --list-ports
    
    [root@172-1-5-220 ~]# firewall-cmd --zone=public --add-port=9100/tcp --permanent
    success
    [root@172-1-5-220 ~]# firewall-cmd --zone=public --add-port=9090/tcp --permanent
    success
    [root@172-1-5-220 ~]# firewall-cmd --zone=public --add-port=9093/tcp --permanent
    success
    [root@172-1-5-220 ~]# firewall-cmd --zone=public --add-port=3000/tcp --permanent
    success
    [root@172-1-5-220 ~]# firewall-cmd --zone=public --add-port=8080/tcp --permanent
    success
    [root@172-1-5-220 ~]# firewall-cmd --reload
    success
    
    防火墙操作过程

    接下来,登录Grafana,添加prometheus数据源


    添加Prometheus数据源
    添加Prometheus数据源
    导入看板

    导入看板后,我们点击左上角Granfana图标,再点击Home,再选择我们导入的Prometheus 2.0 Stats就可以看到效果了


    选择我们导入的看板 整体效果

    我们来试一下另一个更好看点的看板


    选择导入
    输入看板的id号
    导入看板
    新的看板

    简单的安装到此为止,有了环境,接下来就可以好好学习Prometheus了,哈哈

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