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
import pymysql
class Conn:
def __init__(self):
self.connect = pymysql.connect(
host = "192.168.1.124",
port = 3306,
user = "root",
passwd = "testmysql",
db = "cpu",
charset = "utf8"
)
self.cur = self.connect.cursor()
def insert(self,data):
sql = "insert into cpu(cpu_idle,memory_used,memory_free,disk_C_free) values ('%s','%s','%s','%s')"
self.cur.execute(sql%data)
# self.connect.close()
self.connect.commit()
# if __name__ == '__main__':
# v = Conn()
# data = (23,45,56,67)
# print(1)
# v.insert(data)
# print(2)
2、收集服务器数据(此测试本机为样本)
'''
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'''
import time
from TEST.test import Conn
import psutil
def Getdata():
while 1:
cpu_idle = psutil.cpu_times().idle
cpu_idle = cpu_idle/1000
memory_used = psutil.virtual_memory().used
memory_used = memory_used/(1000**3)
memory_free = psutil.virtual_memory().free
memory_free = memory_free/(1000**3)
disk_C_free = psutil.disk_usage("C://").free
disk_C_free = disk_C_free/(1000**3)
date = (round(cpu_idle,2),round(memory_used,2),round(memory_free,2),round(disk_C_free,2))
v = Conn()
v.insert(date)
time.sleep(5)
print(date)
Getdata()
3、验证
可以在数据库中查看是否能正常插入数据