监控主机基础信息的镜像：docker pull prom/node-exporter:v1.3.1
监控主机容器信息的镜像：docker pull zcube/cadvisor:v0.39.3
收集主机信息的镜像：docker pull prom/prometheus:v2.33.5
展示主机信息的镜像：docker pull grafana/grafana:8.4.3

docker save -o docker_images/node-exporter.tar node-exporter:v1.3.1
docker save -o docker_images/cadvisor.tar cadvisor:v0.39.3
docker save -o docker_images/prometheus.tar prometheus:v2.33.5
docker save -o docker_images/grafana.tar grafana:8.4.3

version: "3.7"

services:
  node-exporter:
    image: prom/node-exporter:v1.3.1
    container_name: bdyh-node-exporter
    restart: on-failure
    privileged: true
    deploy:
      resources:
        limits:
          memory: 1024M
        reservations:
          memory: 300M
    environment:
      TZ: Asia/Shanghai
    volumes:
      - /proc:/host/proc:ro
      - /sys:/host/sys:ro
      - /:/rootfs:ro
    ports:
      - "9100:9100"
    networks:
      - pk_net
  cadvisor:
    image: zcube/cadvisor:v0.39.3
    container_name: bdyh-cadvisor
    restart: on-failure
    privileged: true
    deploy:
      resources:
        limits:
          memory: 1024M
        reservations:
          memory: 300M
    environment:
      TZ: Asia/Shanghai
    volumes:
      - /:/rootfs:ro
      - /var/run:/var/run:ro
      - /sys:/sys:ro
      - /var/lib/docker/:/var/lib/docker:ro
      - /dev/disk/:/dev/disk:ro
      - /cgroup:/cgroup:ro      
    ports:
      - "9080:8080"
    networks:
      - pk_net
  prometheus:
    image: prom/prometheus:v2.33.5
    container_name: bdyh-prometheus
    restart: on-failure
    privileged: true
    deploy:
      resources:
        limits:
          memory: 1024M
        reservations:
          memory: 300M
    environment:
      TZ: Asia/Shanghai
    volumes:
      - /data/monitoring/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
    ports:
      - "9090:9090"
    depends_on:
      - node-exporter
      - cadvisor
    networks:
      - pk_net
  grafana:
    image: grafana/grafana:8.4.3
    container_name: bdyh-grafana
    restart: on-failure
    privileged: true
    deploy:
      resources:
        limits:
          memory: 1024M
        reservations:
          memory: 300M
    environment:
      TZ: Asia/Shanghai
    volumes:
      - /data/monitoring/grafana/grafana-storage:/var/lib/grafana
      #利用grafana的provisioning方式，通过配置方式添加datasource和dashboard，预置仪表盘和数据源
      - /data/monitoring/grafana/provisioning:/etc/grafana/provisioning
      - /data/monitoring/grafana/json:/tmp/dashboards
    ports:
      - "3000:3000"
    depends_on:
      - prometheus
    networks:
      - pk_net
networks:
  pk_net:
    external: true



global:
  scrape_interval:     60s
  evaluation_interval: 60s
 
scrape_configs:
  - job_name: prometheus
    static_configs:
      - targets: ['bdyh-prometheus:9090']
        labels:
          instance: prometheus
  
  - job_name: linux
    static_configs:
      - targets: ['bdyh-node-exporter:9100']
  
  - job_name: docker
    static_configs:
      - targets: ['bdyh-cadvisor:8080']


    ...
      "datasource": {
        "type": "prometheus",
        "uid": "bdyh-prometheus-9090"
      }
    ...


# # config file version
apiVersion: 1

# # list of datasources that should be deleted from the database
deleteDatasources:
   - name: Prometheus
     orgId: 1

 # list of datasources to insert/update depending
 # on what's available in the database
datasources:
   #  name of the datasource. Required
 - name: Prometheus
   #  datasource type. Required
   type: prometheus
   #  access mode. direct or proxy. Required
   access: proxy
   #  org id. will default to orgId 1 if not specified
   orgId: 1
   #  自定义UID，可以用于在配置的其他部分引用此数据源，如果没有指定，将自动生成
   uid: bdyh-prometheus-9090
   #  url
   url: http://bdyh-prometheus:9090
   #  database password, if used
   password:
   #  database user, if used
   user:
   #  database name, if used
   database:
   #  enable/disable basic auth
   basicAuth: false
   #  basic auth username
   basicAuthUser: ''
   #  basic auth password
   basicAuthPassword: ''
   #  enable/disable with credentials headers
   withCredentials: false
   #  mark as default datasource. Max one per org
   isDefault: false
   # 
   jsonData:
      graphiteVersion: "1.1"
      tlsAuth: false
      tlsAuthWithCACert: false
      httpHeaderName1: "Authorization"
   #  json object of data that will be encrypted.
   secureJsonData:
     tlsCACert: "..."
     tlsClientCert: "..."
     tlsClientKey: "..."
     # 
     httpHeaderValue1: "Bearer xf5yhfkpsnmgo"
   version: 1
   #  allow users to edit datasources from the UI.
   editable: true


apiVersion: 1
providers:
 - name: 'default'
   orgId: 1
   folder: ''
   type: file
   updateIntervalSeconds: 10
   options:
     path: /tmp/dashboards


#!/bin/bash
###############################################################
# 作者：键客小盒子
# 脚本名：install-network.sh
# 时间：2022-09-10
# 功能描述：过滤Docker是否存在此自定义网络
###############################################################
echo -e '\n\n-----------------------执行install-network start-----------------------'
echo ""
#自定义一个网络名称变量
network_name="pk_net"

filterName=`docker network ls | grep $network_name | awk '{ print $2 }'`

if [ "$filterName" == "" ]; then
    echo "不存在pk_net，将创建一个自定义的网络pk_net,如下所示："
 echo ""
    #不存在就创建一个自定义的网络pk_net,此处的10.139可以自定义，不冲突即可
    sudo docker network create --driver bridge --subnet 10.139.0.0/16 --gateway 10.139.0.1 pk_net
else
    echo "已存在网络pk_net"
fi
echo -e '\n\n-----------------------执行install-network end-----------------------'



#!/bin/bash
###############################################################
# 作者：键客小盒子
# 脚本名：install-monitoring.sh
# 时间：2022-09-10
# 功能描述：一键部署主机及容器监控（Prometheus+Grafana+cAdvisor+node-exporter）
###############################################################
echo -e '\n\n-----------------------Docker install monitoring start-----------------------'
cd `dirname $0`
SH_PATH=`pwd`
BASE_PATH=${SH_PATH%/*}
echo ""
echo ""
echo "#########################################################"
echo "# 导入监控镜像  -- 开始                                 #"
echo "#########################################################"    
sudo docker load -i ./docker_images/node-exporter.tar
sudo docker load -i ./docker_images/cadvisor.tar
sudo docker load -i ./docker_images/prometheus.tar
sudo docker load -i ./docker_images/grafana.tar
echo "#########################################################"
echo "# 导入监控镜像  --  结束                                #"
echo "#########################################################"

echo ""
echo ""
echo "#########################################################"
echo "# 创建docker自定义网络 -- 开始                          #"
echo "#########################################################"
#预先创建一个自定义的网络pk_net,此处的10.139可以自定义，不冲突即可
sudo chmod u+x *.sh
sudo bash ./install-network.sh
sleep 2s
echo "#########################################################"
echo "##创建docker自定义网络 -- 结束                          #"
echo "#########################################################"

echo ""
echo ""
echo "#########################################################"
echo "# 创建 monitoring目录 -- 开始                                #"
echo "#########################################################"
     
sudo mkdir -p $BASE_PATH/monitoring/prometheus
sudo mkdir -p $BASE_PATH/monitoring/grafana/grafana-storage
sudo mkdir -p $BASE_PATH/monitoring/grafana/provisioning
sudo mkdir -p $BASE_PATH/monitoring/grafana/json
sudo mkdir -p $BASE_PATH/docker-compose-file
sudo cp ./monitoring/prometheus/prometheus.yml $BASE_PATH/monitoring/prometheus/prometheus.yml
sudo cp -r ./monitoring/grafana/provisioning/* $BASE_PATH/monitoring/grafana/provisioning/
sudo cp -r ./monitoring/grafana/json/* $BASE_PATH/monitoring/grafana/json/
sudo cp -r $BASE_PATH/pkulaw/docker/docker-compose-monitoring.yml $BASE_PATH/docker-compose-file
sudo chmod -R 777 $BASE_PATH/monitoring
sudo chmod -R 777 $BASE_PATH/monitoring/grafana/grafana-storage
echo "#########################################################"
echo "# 创建 monitoring目录 -- 结束                                #"
echo "#########################################################"

echo ""
echo ""
echo "#########################################################"
echo "# 根据实际路径调整docker-compose中的映射路径 -- 开始    #"
echo "#########################################################"
BASE_COMPOSE_URL1=$BASE_PATH/monitoring/prometheus
BASE_COMPOSE_URL2=$BASE_PATH/monitoring/grafana
sudo sed -i "s#/data/monitoring/prometheus#$BASE_COMPOSE_URL1#" $BASE_PATH/docker-compose-file/docker-compose-monitoring.yml
sudo sed -i "s#/data/monitoring/grafana#$BASE_COMPOSE_URL2#" $BASE_PATH/docker-compose-file/docker-compose-monitoring.yml
echo "#########################################################"
echo "# 根据实际路径调整docker-compose中的映射路径-- 结束     #"

echo ""
echo ""
echo "#########################################################"
echo "# 安装 monitoring -- 开始                                    #"
echo "#########################################################"
docker-compose -p monitoring --compatibility -f $BASE_PATH/docker-compose-file/docker-compose-monitoring.yml up -d
echo "#########################################################"
echo "# 安装 monitoring -- 结束                                    #"
echo "#########################################################"

echo ""
echo ""
echo "#########################################################"
echo "# monitoring开放端口 -- 开始                                 #"
echo "#########################################################"
sudo firewall-cmd --permanent --add-port=9100/tcp
sudo firewall-cmd --permanent --add-port=9080/tcp
sudo firewall-cmd --permanent --add-port=9090/tcp
sudo firewall-cmd --permanent --add-port=3000/tcp
sudo firewall-cmd --reload
echo "#########################################################"
echo "# monitoring开放端口 -- 结束                                 #"
echo "#########################################################"
echo -e '\n\n-----------------------Docker install monitoring end-----------------------'