docker-compose(grafana influxdb) + telegraf 快速搭建简单监控

灵活实现方案：

1: telegraf 为go 语言写得占用内存小收集主机各项监控数据定时写入时序DB influxdb ------------------------"telegraf + influxdb + grafana"

2：也可自已用python 编写监控脚本收集主机各项数据写入 influxdb ------------------------------------------------------- "python + influxdb + grafana"

我们选第一种：第二种我也试了重点在python data-type 上 int string 写入 influxdb db 时要注意

#主机清单说明

172.16.1.6 #安装 telegraf 并设置配置文件收集系统各项监控数据然后写入远程主机（172.16.1.50） influxdb 内

172.16.1.50 #安装 docker , docker-compose 运行start-DockerCompose_grafana.sh 生成docker-compose_grafana.yml 并运行

特别说明:

#1， 172.16.1.50运行 docker-compose 会去docker-hub 拉取最新得 grafana images 镜像所以必须创建 grafana 用户组

#2，grafana 镜像从4.1.2 以后容器内都是以普通用户运行更换低版镜像并不需要在宿主机上创建grafana user 会在当前目录下生成 docker-compose-grafana.yml docker-compose file

#172.16.1.50主机必须条件 , docker , docker-compose

运行start-DockerCompose_grafana.sh 生成docker-compose_grafana.yml 并自动运行： docker-compose -f docker-compose_grafana.yml up -d

cat start-DockerCompose_grafana.sh

#!/bin/bash

GRAFANA_DIR=/grafana-dir

GRAFANA_plugins=/plugins

INSPECT_NAME=`id -u grafana >> /dev/null 2>&1`

INSPECT_ID=`id 472 >>  /dev/null 2>&1 `

INSPECT_FILE=`-f ./docker-compose_grafana.yml >> /dev/null 2>&1`

function newfile () {

cat >> ./docker-compose_grafana.yml <<EOF

version: '2'

services:

  grafana:

    image: grafana/grafana

    restart: always

    container_name: "grafana"

    ports:

      - 3000:3000

    volumes:

      - $GRAFANA_DIR/data:/var/lib/grafana:rw

      - $GRAFANA_DIR$GRAFANA_plugins:/var/lib/grafana/plugins:rw

      - /etc/localtime:/etc/localtime #同步宿主机和容器时间

    links:

      - influxdb

    depends_on:

      - influxdb

  influxdb:

    image: tutum/influxdb:latest

    restart: always

    container_name: "influxdb"

    environment:

      - ADMIN_USER="root"

      - INFLUXDB_INIT_PWD="237356573"

      - PRE_CREATE_DB="telegraf"

    volumes:

      - /etc/localtime:/etc/localtime

      #未做数据卷 如要保存db data 必须做数据卷

    ports:

      - 8086:8086

      - 8083:8083

EOF

}

if [ ! $INSPECT_NAME ] && [ ! $INSPECT_ID ];

then

echo "run"

groupadd -g 472 grafana && useradd -M -u 472 -g 472 grafana

mkdir -p $GRAFANA_DIR/{data,plugins}

chown -R grafana:grafana $GRAFANA_DIR

newfile

docker-compose -f ./docker-compose_grafana.yml up -d

elif[ $INSTPECT_FILE ];

docker-compose -f ./docker-compose_grafana.yml up -d

else

newfile

echo "not run grafana-DockerCompose.yml"

fi

docker-compose(grafana influxdb) + telegraf 快速搭建简单监控

2： 172.16.1.6 agent 安装 telegraf 并设置配置文件

2.1下载

wget http://get.influxdb.org/telegraf/telegraf-0.11.1-1.x86_64.rpm

2、2安装

yum localinstall telegraf-0.11.1-1.x86_64.rpm -y

2.3修改配置文件：

cat /etc/telegraf/telegrag.conf #扩展目录 /etc/telegraf/telegrag.d/[global_tags]

[global_tags]

[agent]

  interval = "8s"

  round_interval = true

  metric_batch_size = 1000

  metric_buffer_limit = 10000

  collection_jitter = "0s"

  flush_interval = "10s"

  flush_jitter = "0s"

  precision = ""

  debug = false

  quiet = false

  logfile = ""

  hostname = ""

  omit_hostname = false

[[outputs.influxdb]]

urls = ["http://172.16.1.50:8086"]

database = "telegraf"

  retention_policy = ""

  write_consistency = "any"

  timeout = "5s"

   username = "root"

  password = "237356573"

[[inputs.net]]

interfaces = ["ens33"]

[[inputs.cpu]]

  percpu = true

  totalcpu = true

  collect_cpu_time = false

  report_active = false

[[inputs.disk]]

  ignore_fs = ["tmpfs", "devtmpfs", "devfs"]

[[inputs.diskio]]

[[inputs.kernel]]

[[inputs.mem]]

[[inputs.processes]]

[[inputs.swap]]

[[inputs.system]]

[[inputs.netstat]]