智者创造机会，强者把握机会，弱者坐等机会。才能是来自独创性。独创性是思维观察明白和决定的一种独特的方式。
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：
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;
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：
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)
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
<title>haodaima.com</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: 'haodaima.com'
},
series: [{
name: 'haodaima.com',
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>
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
#!/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://haodaima.com:8888", 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
访问 http://haodaima.com:8888 就可以看到我们的监控数据了：效果图如下
本文Python写的一个简单监控系统到此结束。没有改变，就没有成长，幸福的人都喜欢沉默。一向喋喋不休说自我如何幸福的人必须内心是虚弱的。当一个人内心足够强大时，说与不说，都已无用。最重要的是，选择最适合自我的方向，一意孤行走下去。找到生命中最确定的信息——那些相似的人或事物终会走到一齐，那些不相似的人或事物，终会背道而驰。小编再次感谢大家对我们的支持！
