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

 1 import pymysql
 2 class Conn:
 3     def __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 
14     def 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）

 1 import  time
 2 from TEST.test import Conn
 3 import psutil
 4 def Getdata():
 5     while 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)
22         print(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

来源：oschina

链接：https://my.oschina.net/u/4309288/blog/3338193