前提环境：

• Docker环境

涉及参考文档：

• 安装Prometheus
• 开始 Prometheus
• node_exporter Agent组件

一、部署Prometheus

1、启动容器将文件拷贝出来

docker run -d prom/prometheus

2、容器将文件拷贝出来

 docker cp 容器ID:/usr/share/prometheus/console_libraries /usr/share/prometheus/
 docker cp 容器ID:/usr/share/prometheus/consoles/ /usr/share/prometheus/
 docker cp 容器ID:/etc/prometheus /data/docker_data/Promthues/conf
 docker cp 容器ID:/prometheus /data/docker_data/Promthues/data

3、修改数据存储权限。 默认容器中是nobody：nobody 只能修改为777

chmod  777 /data/docker_data/Promthues/data

4、启动docker

docker run --name prometheus -d \
-v /data/docker_data/Promthues/data:/prometheus \
-v /data/docker_data/Promthues/conf:/etc/prometheus \
-p 9090:9090 prom/prometheus \
--config.file=/etc/prometheus/prometheus.yml \
--web.listen-address="0.0.0.0:9090" \
--storage.tsdb.path=/prometheus \
--web.console.libraries=/usr/share/prometheus/console_libraries \
--web.console.templates=/usr/share/prometheus/consoles \
--storage.tsdb.retention=30d \
--web.enable-lifecycle

二、访问WEB控制台

访问URL ：   IP+9090

三、安装node_exporter 组件

docker run -d --name node_exporter \
    --restart=always \
    --net="host" \
    --pid="host" \
    -v "/proc:/host/proc:ro" \
    -v "/sys:/host/sys:ro" \
    -v "/:/rootfs:ro" \
    prom/node-exporter \
    --path.procfs=/host/proc \
    --path.rootfs=/rootfs \
    --path.sysfs=/host/sys \
    --collector.textfile.directory=/data/docker_data/Promthues/prom \
    --collector.filesystem.ignored-mount-points='^/(sys|proc|dev|host|etc)($$|/)'

四、配置 Prometheus 以监视自身

global:  #全局
  scrape_interval:     15s   # 默认情况下即拉取业务监控数据的间隔时间,默认一分钟
  scrape_timeout:  10s       # 即拉取业务监控数据接口的超时时间
  evaluation_interval: 15s  # 默认评估规则的频率,默认一分钟

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
    monitor: 'codelab-monitor'
    
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['localhost:9090']
        labels:
          name: Prometheus

五、控制台抓取数据

1、重新查看当前Prometheus的标签

2、重新查看当前Prometheus的标签

avg by (job, instance, mode) (rate(node_cpu_seconds_total{instance="10.1.32.231"}[5m]))

3、修改Prometheus 主配置文件

mkdir -p /data/docker_data/Promthues/conf/rules

global:  #全局
  scrape_interval:     15s   # 默认情况下即拉取业务监控数据的间隔时间,默认一分钟
  scrape_timeout:  10s       # 即拉取业务监控数据接口的超时时间
  evaluation_interval: 15s  # 默认评估规则的频率,默认一分钟

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
    monitor: 'codelab-monitor'
    
rule_files:
   - "rules/*.yml"    # 指定自定义规则文件存放目录
    
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['localhost:9090']
        labels:
          name: Prometheus

4、配置Prometheus记录规则

vim /data/docker_data/Promthues/conf/rules/cpu-node.yml

groups:
- name: cpu-node
  rules:
  - record: job_instance_mode:node_cpu_seconds:avg_rate5m
    expr: avg by (job, instance, mode) (rate(node_cpu_seconds_total{instance="10.1.32.231"}[5m]))

5、热加载Prometheus 服务

检查语法是否符合

docker exec -it prometheus promtool check config /etc/prometheus/prometheus.ym

热加载配置文件

curl -XPOST http://localhost:9090/-/reload

6、重新登录Web控制台

点击匹配规则，自动跳转到Web 查询界面

匹配规则作为告警阈值进行钉钉通知告警， 后面篇章会记录学习笔记。