docker高级应用之资源监控-原创手记-慕课网

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

wKiom1U0bCPzgt01AAFNUwAKwiw657.jpg

2、查看容器yangjing-test的cpu使用率资源监控

wKiom1U0bGjjlqoEAAGYHE6vta0864.jpg

3、查看内存使用量资源监控

wKioL1U0bfyz4qP5AAGV0vt88-k050.jpg

4、查看容器网络流量信息

wKiom1U0bNuj1dw4AAHrnfjn2rA970.jpg

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。

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