市面上有很多開源的監控系統：Cacti、nagios、zabbix。感覺都不符合我的需求，為什么不自己做一個呢
用Python兩個小時徒手擼了一個簡易的監控系統，給大家分享一下，希望能對大家有所啟發
首先數據庫建表
建立一個數據庫“falcon”，建表語句如下：
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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; |
首先我們設計一個web服務，實現如下功能：
1.完成監控頁面展示
2.接受POST提交上來的數據
3.提供json數據GET接口
目錄結構如下：
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web├── flask_web.py└── templates └── mon.html[/code]flask_web.py[code]import MySQLdb as mysqlimport jsonfrom flask import Flask, request, render_templateapp = 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) |
這個template頁面是我抄的highstock的示例，mon.html
簡單起見我們只展示mem_usage信息到頁面上
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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> |
web展示頁面完成了，運行起來：
Python flask_web.py 監聽在8888端口上
我們需要做一個agent來采集數據，并上傳數據庫
moniItems.py
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#!/usr/bin/env pythonimport inspectimport timeimport urllib, urllib2import jsonimport socketclass 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): #自動獲取mon類里的所有getXXX方法，用XXX作為key，getXXX()的返回值作為value，構造字典 for fun in inspect.getmembers(self, predicate=inspect.ismethod): if fun[0][:3] == 'get': self.data[fun[0][3:]] = fun[1]() return self.dataif __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 & 運行起來 |
訪問 http://www.aspku.net 就可以看到我們的監控數據了：效果圖如下
