python实时监控服务器性能
监控服务器各项性能指标,以下为监控测试流程
1、mysql数据库插入数据
1.1 大家要首先在服务器上安装一个mysql,此项略。。。
1.2 登录mysql新建一个cpu库和cpu表
1.3 连接数据库,代码如下
1import pymysql 2class Conn: 3def__init__(self): 4 self.connect = pymysql.connect( 5 host = "192.168.1.124", 6 port = 3306, 7 user = "root", 8 passwd = "testmysql", 9 db = "cpu",10 charset = "utf8"11 )
12 self.cur = self.connect.cursor()
13
14def insert(self,data):
15 sql = "insert into cpu(cpu_idle,memory_used,memory_free,disk_C_free) values ('%s','%s','%s','%s')"
16 self.cur.execute(sql%data)
17# self.connect.close()
18 self.connect.commit()
19
20# if __name__ == '__main__':
21# v = Conn()
22# data = (23,45,56,67)
23# print(1)
24# v.insert(data)
25# print(2)
连接mysql代码
2、收集服务器数据(此测试本机为样本)
1import time 2from TEST.test import Conn 3import psutil 4def Getdata(): 5while 1: 6 cpu_idle = psutil.cpu_times().idle 7 cpu_idle = cpu_idle/1000 8
9 memory_used = psutil.virtual_memory().used
10 memory_used = memory_used/(1000**3)
11
12 memory_free = psutil.virtual_memory().free
13 memory_free = memory_free/(1000**3)
14
15 disk_C_free = psutil.disk_usage("C://").free
16 disk_C_free = disk_C_free/(1000**3)
17
18 date = (round(cpu_idle,2),round(memory_used,2),round(memory_free,2),round(disk_C_free,2))
19 v = Conn()
20 v.insert(date)
21 time.sleep(5)
22print(date)
23 Getdata()
收集服务器数据
3、验证
可以在数据库中查看是否能正常插入数据
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