一、Prometheus

获取配置文件

docker run -d -p 9090:9090 --name prometheus prom/prometheus

mkdir -p /app/prometheus

docker cp prometheus:/etc/prometheus/prometheus.yml /app/prometheus/prometheus.yml

停止并删除旧的容器，重新启动

docker run -d --name prometheus -p 9090:9090 -v /app/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus

访问prometheus

http://XX.xx.xx.xx:9090

二、Grafana

看板ID

https://grafana.com/grafana/dashboards/4701-jvm-micrometer/

设置grafana映射文件夹

mkdir -p /app/grafana
chmod 777 -R /app/grafana

启动

 docker run -d -p 3000:3000 --name=grafana  -v /app/grafana:/var/lib/grafana grafana/grafana

默认密码admin admin

三、引入node-exporter监控服务器

docker run -d --name node-exporter -p 9100:9100 \
  -v /etc/localtime:/etc/localtime -v /etc/timezone:/etc/timezone \
  prom/node-exporter

将node-exporter服务暴露公网的ip和端口（内网ip也可以） 配置到Prometheus的prometheus.yml文件中

  - job_name: 'linux'
    static_configs:
    - targets: ['106.54.220.184:9100']

重启容器，查看Prometheus

看板：Node Exporter Dashboard 220413 ConsulManager自动同步版

四、引入mysqld-exporter监控Mysql

在监控的mysql创建只能读取数据的用户，使用该用户登录返回数据库信息

CREATE USER 'mysqlexporter'@'106.54.220.184' IDENTIFIED BY 'mysqlexporter' WITH MAX_USER_CONNECTIONS 3;

GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'mysqlexporter'@'106.54.220.184';

flush privileges;

启动Mysql监听

docker run -d --name mysql-exporter -p 9104:9104 -e DATA_SOURCE_NAME="用户名:密码@(ip:3306)/mysql" prom/mysqld-exporter

docker run -d --name mysql-exporter -p 9104:9104 -e DATA_SOURCE_NAME="mysqlexporter:mysqlexporter@(ip:3306)/mysql" prom/mysqld-exporter

将mysqld-exporter服务暴露公网的ip和端口（内网ip也可以） 配置到Prometheus的prometheus.yml文件中

 - job_name: 'mysql'
  static_configs:
  - targets: ['ip:9104']

查看普罗米修斯 是否新增了监听

在Grafana配置Prometheus数据源

Configuration -> Data Sources ->add data source -> Prometheus

Create import Mysql看板ID：8919

五、Springboot引入prometheus监测Jvm

应用引入prometheus依赖

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-actuator</artifactId>
        </dependency>
        <dependency>
            <groupId>io.micrometer</groupId>
            <artifactId>micrometer-registry-prometheus</artifactId>
            <scope>runtime</scope>
        </dependency>

修改配置文件

#prometheus监控平台配置
management:
  endpoint:
    metrics:
      enabled: true #支持metrics
    prometheus:
      enabled: true #支持Prometheus
  metrics:
    export:
      prometheus:
        enabled: true
    tags:
      application: ruoyi-dev #实例名采集
  endpoints:
    web:
      exposure:
        include: '*' #开放所有端口

配置发送资源接口放行

如果应用有app应用上下文，加入上下文/api

curl --request GET --url http://106.54.220.184:8080/api/actuator/prometheus

默认的话

curl --request GET --url http://ip:端口/actuator/prometheus

配置到prometheus监听

  - job_name: "ruoyi-dev"
    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.
    metrics_path: /api/actuator/prometheus
    static_configs:
      - targets: ["106.54.220.184:8080"]

备份prometheus.yml默认配置

# 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:
          # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "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"

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.
    static_configs:
      - targets: ["localhost:9090"]
	  
  - job_name: "MySQL-184"
    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.
    static_configs:
      - targets: ["106.54.220.184:9104"]
	  
  - job_name: 'Linux-184'
    static_configs:
      - targets: ['106.54.220.184:9100']