Zabbix 监控 Docker容器

我们可以通过Python提供的模块docker来取各个docker容器的监控参数。参考文档：http://docker-py.readthedocs.io/en/stable/containers.html

pip install docker     #安装docker模块

通过脚本获取各个监控项的值：

#!coding=utf-8
#python2.7.12测试通过

#监控docker状态脚本，包括内存、cpu和网速

#UserParameter=docker_monitor[*],/usr/bin/python /usr/local/zabbix/scripts/docker_monitor.py $1 $2
import docker
import sys

def get_value(item):
    mem_rss_usage = docker_stat[\'memory_stats\'][\'stats\'][\'total_rss\']
    mem_cache_usage = docker_stat[\'memory_stats\'][\'stats\'][\'total_cache\']
    mem_limit = docker_stat[\'memory_stats\'][\'limit\']
    cpu_total_usage = docker_stat[\'cpu_stats\'][\'cpu_usage\'][\'total_usage\']
    cpu_usermode_usage = docker_stat[\'cpu_stats\'][\'cpu_usage\'][\'usage_in_usermode\']
    cpu_kernelmode_usage = docker_stat[\'cpu_stats\'][\'cpu_usage\'][\'usage_in_kernelmode\']
    cpu_system_usage = docker_stat[\'cpu_stats\'][\'system_cpu_usage\']
    percpu_usage = docker_stat[\'cpu_stats\'][\'cpu_usage\'][\'percpu_usage\']
    #      \'cpu_percent\': round(((float(cpu_total_usage)+float(cpu_usermode_usage)+float(cpu_kernelmode_usage))/float(cpu_system_usage)) * len(percpu_usage) * 1000.0, 2),    暂不确定
    items = {
        \'mem_rss_usage\': mem_rss_usage,
        \'mem_cache_usage\': mem_cache_usage,
        \'mem_limit\': mem_limit,
        \'cpu_total_usage\': cpu_total_usage,
        \'cpu_system_usage\': cpu_system_usage,
        \'mem_percent\': round((float(mem_rss_usage)/float(mem_limit)) * 100.0, 2),
　　  \'net_in\': docker_stat[\'networks\'][\'eth0\'][\'rx_bytes\'],
　　  \'net_out\': docker_stat[\'networks\'][\'eth0\'][\'tx_bytes\'],
        \'status\': int( docker.status == \'running\')

    }
    print items.get(item)

if __name__ == \'__main__\':

    conn = docker.from_env()
    docker = conn.containers.get(sys.argv[1])
    docker_stat = docker.stats(stream=False,decode=True)
          try:
　　　　get_value(sys.argv[2])
         except KeyError:
　　　　print 0

 

docker自动发现脚本：

#!/bin/bash


docker_amount() {
            port=($(sudo docker ps -a|grep -v "CONTAINER ID"|awk \'{print $NF}\'))
            printf \'{\n\'
            printf \'\t"data":[\n\'
               for key in ${!port[@]}
                   do
                       if [[ "${#port[@]}" -gt 1 && "${key}" -ne "$((${#port[@]}-1))" ]];then
                          printf \'\t {\n\'
                          printf "\t\t\t\"{#CONTAINERNAME}\":\"${port[${key}]}\"},\n"

                     else [[ "${key}" -eq "((${#port[@]}-1))" ]]
                          printf \'\t {\n\'
                          printf "\t\t\t\"{#CONTAINERNAME}\":\"${port[${key}]}\"}\n"

                       fi
               done

                          printf \'\t ]\n\'
                          printf \'}\n\'
}

case $1 in
docker)
    docker_amount
;;
*)
    echo "Usage:`basename $0` {docker}"
;;
esac

　　

UserParameter=auto_discovery[*],/bin/bash /usr/local/zabbix/scripts/auto_discovery.sh $1

　如果在服务端执行zabbix_get时报权限错误，在/etc/sudoers中添加：

zabbix  ALL=(root)  NOPASSWD: /usr/bin/docker

然后在监控页添加自动发现、监控项即可。

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另可用简单的Load Modules的方式监控Docker(感谢万能的先行者....)

Git地址：https://github.com/monitoringartist/Zabbix-Docker-Monitoring

步骤如下：

1、在Git上下载相应版本的加载模块zabbix_module_docker.so和相应监控方式（主动和被动）监控模板Zabbix-Template-App-Docker.xml

2、将zabbix_module_docker.so放在${libdir}/modules下并修改配置文件：

LoadModulePath=/usr/local/zabbix/lib/modules

LoadModule=zabbix_module_docker.so

3、重启zabbix_agentd，并将Zabbix-Template-App-Docker.xml导入模板中，自动发现10分钟后取得数据

 4、如果监控项报错：Cannot open memory.stat file,将zabbix agent中的用户改成root即可