docker高级应用之资源监控

最近忙着开发docker平台，所以挺久没有更新博客了，今天给大家分享一下，我开发docker平台里如何监控资源与进行图像展示的。

默认docker 1.5版本有stats命令查看容器的cpu使用率、内存使用量与网络流量，但此功能有2个必须：

1、必须是docker 1.5版本

2、必须使用默认docker0的网桥（如果你使用ovs这样非原生的网桥无法获取数据的）

我开发的监控里docker是1.5版本，并且通过使用ifconfig来获取容器rx或rx量来获取容器流量，解决了必须使用docker默认网桥才可以获取流量数据。

下面是容器资源监控效果图

1、平台里资源监控界面

2、查看容器yangjing-test的cpu使用率资源监控

3、查看内存使用量资源监控

4、查看容器网络流量信息

下面是监控数据收集脚本信息

使用python写的,由于需要往mysql里写入数据，所以需要安装MySQLdb模块以及服务端mysql开启账号

[root@ip-10-10-29-201 code]# cat collect_docker_monitor_data_multi.py #!/usr/bin/env python #-*- coding: utf-8 -*- #author:Deng Lei #email: dl528888@gmail.com from docker import Client import os import socket, struct, fcntl import etcd import MySQLdb import re import multiprocessing import subprocess import time def get_local_ip(iface = 'em1'):  sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)  sockfd = sock.fileno()  SIOCGIFADDR = 0x8915  ifreq = struct.pack('16sH14s', iface, socket.AF_INET, '/x00'*14)  try:   res = fcntl.ioctl(sockfd, SIOCGIFADDR, ifreq)  except:   return None  ip = struct.unpack('16sH2x4s8x', res)[2]  return socket.inet_ntoa(ip) def docker_container_all():  docker_container=docker_client.containers(all=True)  container_name=[]  container_stop_name=[]  for i in docker_container:   container_name.append(i['Names'])  for b in container_name:   for c in b:    container_stop_name.append(c[1::])  return container_stop_name def docker_container_run():  docker_container=docker_client.containers(all=True)  container_name=[]  container_stop_name=[]  for i in docker_container:   if re.match('Up',i['Status']):    container_name.append(i['Names'])  for b in container_name:   for c in b:    container_stop_name.append(c[1::])  return container_stop_name def check_container_stats(name):  container_collect=docker_client.stats(name)  old_result=eval(container_collect.next())  new_result=eval(container_collect.next())  container_collect.close()  cpu_total_usage=new_result['cpu_stats']['cpu_usage']['total_usage'] - old_result['cpu_stats']['cpu_usage']['total_usage']  cpu_system_uasge=new_result['cpu_stats']['system_cpu_usage'] - old_result['cpu_stats']['system_cpu_usage']  cpu_num=len(old_result['cpu_stats']['cpu_usage']['percpu_usage'])  cpu_percent=round((float(cpu_total_usage)/float(cpu_system_uasge))*cpu_num*100.0,2)  mem_usage=new_result['memory_stats']['usage']  mem_limit=new_result['memory_stats']['limit']  mem_percent=round(float(mem_usage)/float(mem_limit)*100.0,2)  #network_rx_packets=new_result['network']['rx_packets']  #network_tx_packets=new_result['network']['tx_packets']  network_check_command="""docker exec %s ifconfig eth1|grep bytes|awk -F ':' '{print $2,$3}'|awk -F '(' '{print $1,$2}'|awk -F ')' '{print $1}'|awk '{print "{//"rx//":"$1",//"tx//":"$2"}"}'"""%name  network_old_result=eval(((subprocess.Popen(network_check_command,shell=True,stdout=subprocess.PIPE)).stdout.readlines()[0]).strip('/n'))  time.sleep(1)  network_new_result=eval(((subprocess.Popen(network_check_command,shell=True,stdout=subprocess.PIPE)).stdout.readlines()[0]).strip('/n'))  #unit KB  network_rx_packets=(int(network_new_result['rx']) - int(network_old_result['rx']))/1024  network_tx_packets=(int(network_new_result['tx']) - int(network_old_result['tx']))/1024  collect_time=str(new_result['read'].split('.')[0].split('T')[0])+' '+str(new_result['read'].split('.')[0].split('T')[1])  msg={'Container_name':name,'Cpu_percent':cpu_percent,'Memory_usage':mem_usage,'Memory_limit':mem_limit,'Memory_percent':mem_percent,'Network_rx_packets':network_rx_packets,'Network_tx_packets':network_tx_packets,'Collect_time':collect_time}  #write_mysql(msg)  return msg def write_mysql(msg):  container_name=msg['Container_name']  search_sql="select dc.id from docker_containers dc,docker_physics dp where dc.container_name='%s' and dp.physics_internal_ip='%s';"%(container_name,local_ip)  n=mysql_cur.execute(search_sql)  container_id=[int(i[0]) for i in mysql_cur.fetchall()][0]  insert_sql="insert into docker_monitor(container_id,cpu_percent,memory_usage,memory_limit,memory_percent,network_rx_packets,network_tx_packets,collect_time) values('%s','%s','%s','%s','%s','%s','%s','%s');"%(container_id,msg['Cpu_percent'],msg['Memory_usage'],msg['Memory_limit'],msg['Memory_percent'],msg['Network_rx_packets'],msg['Network_tx_packets'],msg['Collect_time'])  n=mysql_cur.execute(insert_sql) if __name__ == "__main__":  local_ip=get_local_ip('ovs1')  if local_ip is None:   local_ip=get_local_ip('em1')  etcd_client=etcd.Client(host='127.0.0.1', port=4001)  docker_client = Client(base_url='unix://var/run/docker.sock', version='1.17')  mysql_conn=MySQLdb.connect(host='10.10.27.10',user='ops',passwd='1FE@!#@NVE',port=3306,charset="utf8")  mysql_cur=mysql_conn.cursor()  mysql_conn.select_db('devops')  #docker_container_all_name=docker_container_all()  docker_container_run_name=docker_container_run()  if len(docker_container_run_name) == 1:   num=1  elif len(docker_container_run_name) >= 4 and len(docker_container_run_name) <=8:   num=4  elif len(docker_container_run_name) >8 and len(docker_container_run_name) <=15:   num=8  elif len(docker_container_run_name) >15 and len(docker_container_run_name) <=30:   num=20  else:   num=40  pool = multiprocessing.Pool(processes=num)  scan_result=[]  #collect container monitor data  for i in docker_container_run_name:   pool.apply_async(check_container_stats, (i,))   scan_result.append(pool.apply_async(check_container_stats, (i,)))  pool.close()  pool.join()  result=[]  for res in scan_result:   if res.get() is not None:    write_mysql(res.get())   else:    print 'fail is %s'%res.get()  mysql_conn.commit()  mysql_cur.close()  mysql_conn.close() 

下面是把此脚本放入crontab里每分钟收集一下

*/1 * * * * python /root/collect_docker_monitor_data_multi.py >>/root/docker_log/docker_monitor.log 2>&1

另外说明一下，上面的监控数据图形化使用highstock，使用ajax进行动态加载数据，每次获取容器所有时间监控数据。有问题请留言。