市面上有很多开源的监控系统:Cacti、nagios、zabbix。感觉都不符合我的需求,为什么不自己做一个呢
用Python两个小时徒手撸了一个简易的监控系统,给大家分享一下,希望能对大家有所启发
首先数据库建表
建立一个数据库“falcon”,建表语句如下:
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CREATE TABLE `stat` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`host` varchar(256) DEFAULT NULL,
`mem_free` int(11) DEFAULT NULL,
`mem_usage` int(11) DEFAULT NULL,
`mem_total` int(11) DEFAULT NULL,
`load_avg` varchar(128) DEFAULT NULL,
`time` bigint(11) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `host` (`host`(255))
) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8;
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首先我们设计一个web服务,实现如下功能:
1.完成监控页面展示
2.接受POST提交上来的数据
3.提供json数据GET接口
目录结构如下:
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web
├── flask_web.py
└── templates
└── mon.html
[/code]
flask_web.py
[code]
import MySQLdb as mysql
import json
from flask import Flask, request, render_template
app = Flask(__name__)
db = mysql.connect(user="reboot", passwd="reboot123", \
db="falcon", charset="utf8")
db.autocommit(True)
c = db.cursor()
@app.route("/", methods=["GET", "POST"])
def hello():
sql = ""
if request.method == "POST":
data = request.json
try:
sql = "INSERT INTO `stat` (`host`,`mem_free`,`mem_usage`,`mem_total`,`load_avg`,`time`) VALUES('%s', '%d', '%d', '%d', '%s', '%d')" % (data['Host'], data['MemFree'], data['MemUsage'], data['MemTotal'], data['LoadAvg'], int(data['Time']))
ret = c.execute(sql)
except mysql.IntegrityError:
pass
return "OK"
else:
return render_template("mon.html")
@app.route("/data", methods=["GET"])
def getdata():
c.execute("SELECT `time`,`mem_usage` FROM `stat`")
ones = [[i[0]*1000, i[1]] for i in c.fetchall()]
return "%s(%s);" % (request.args.get('callback'), json.dumps(ones))
if __name__ == "__main__":
app.run(host="0.0.0.0", port=8888, debug=True)
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这个template页面是我抄的highstock的示例,mon.html
简单起见我们只展示mem_usage信息到页面上
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< title >jb51.net</ title >
<!DOCTYPE HTML>
< html >
< head >
< meta http-equiv = "Content-Type" content = "text/html; charset=utf-8" >
< title >Highstock Example</ title >
< script type = "text/javascript" src = "http://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js" ></ script >
< style type = "text/css" >
${demo.css}
</ style >
< script type = "text/javascript" >
$(function () {
$.getJSON('/data?callback=?', function (data) {
// Create the chart
$('#container').highcharts('StockChart', {
rangeSelector: {
inputEnabled: $('#container').width() > 480,
selected: 1
},
title: {
text: 'jb51.net'
},
series: [{
name: 'jb51.net',
data: data,
type: 'spline',
tooltip: {
valueDecimals: 2
}
}]
});
});
});
</ script >
</ head >
< body >
< script src = "http://cdnjs.cloudflare.com/ajax/libs/highstock/2.0.4/highstock.js" ></ script >
< script src = "http://code.highcharts.com/modules/exporting.js" ></ script >
< div id = "container" style = "height: 400px" ></ div >
</ body >
</ html >
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web展示页面完成了,运行起来:
Python flask_web.py 监听在8888端口上
我们需要做一个agent来采集数据,并上传数据库
moniItems.py
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#!/usr/bin/env python
import inspect
import time
import urllib, urllib2
import json
import socket
class mon:
def __init__( self ):
self .data = {}
def getTime( self ):
return str ( int (time.time()) + 8 * 3600 )
def getHost( self ):
return socket.gethostname()
def getLoadAvg( self ):
with open ( '/proc/loadavg' ) as load_open:
a = load_open.read().split()[: 3 ]
return ',' .join(a)
def getMemTotal( self ):
with open ( '/proc/meminfo' ) as mem_open:
a = int (mem_open.readline().split()[ 1 ])
return a / 1024
def getMemUsage( self , noBufferCache = True ):
if noBufferCache:
with open ( '/proc/meminfo' ) as mem_open:
T = int (mem_open.readline().split()[ 1 ])
F = int (mem_open.readline().split()[ 1 ])
B = int (mem_open.readline().split()[ 1 ])
C = int (mem_open.readline().split()[ 1 ])
return (T - F - B - C) / 1024
else :
with open ( '/proc/meminfo' ) as mem_open:
a = int (mem_open.readline().split()[ 1 ]) - int (mem_open.readline().split()[ 1 ])
return a / 1024
def getMemFree( self , noBufferCache = True ):
if noBufferCache:
with open ( '/proc/meminfo' ) as mem_open:
T = int (mem_open.readline().split()[ 1 ])
F = int (mem_open.readline().split()[ 1 ])
B = int (mem_open.readline().split()[ 1 ])
C = int (mem_open.readline().split()[ 1 ])
return (F + B + C) / 1024
else :
with open ( '/proc/meminfo' ) as mem_open:
mem_open.readline()
a = int (mem_open.readline().split()[ 1 ])
return a / 1024
def runAllGet( self ):
#自动获取mon类里的所有getXXX方法,用XXX作为key,getXXX()的返回值作为value,构造字典
for fun in inspect.getmembers( self , predicate = inspect.ismethod):
if fun[ 0 ][: 3 ] = = 'get' :
self .data[fun[ 0 ][ 3 :]] = fun[ 1 ]()
return self .data
if __name__ = = "__main__" :
while True :
m = mon()
data = m.runAllGet()
print data
req = urllib2.Request( "http://www.aspku.net" , json.dumps(data), { 'Content-Type' : 'application/json' })
f = urllib2.urlopen(req)
response = f.read()
print response
f.close()
time.sleep( 60 )
nohup python moniItems.py > / dev / null 2 >& 1 & 运行起来
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访问 http://www.aspku.net 就可以看到我们的监控数据了:效果图如下