• 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 '{ ' printf ' "data":[ ' for key in ${!port[@]} do if [[ "${#port[@]}" -gt 1 && "${key}" -ne "$((${#port[@]}-1))" ]];then printf ' { ' printf " "{#CONTAINERNAME}":"${port[${key}]}"}, " else [[ "${key}" -eq "((${#port[@]}-1))" ]] printf ' { ' printf " "{#CONTAINERNAME}":"${port[${key}]}"} " fi done printf ' ] ' printf '} ' } 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

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  • 原文地址:https://www.cnblogs.com/nat-zhu/p/8360928.html
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