一、前言
通常情况下，为了知悉服务器的相关信息，如果只是靠人为去挨个查询服务器相关性能的话，会比较耗时，一般情况下，我们可以通过编写Python脚本来实现对服务器性能的实时检测，每次想要查询服务器性能的时候，可以通过执行该脚本，即可知晓。
注：也可以通过设置定时任务来执行该脚本，实现在不同时间段对服务器性能的检测
二、Python实现方式
1、脚本编写
# -*- coding:utf-8 -*- - import os, timelast_worktime=0last_idletime=0def get_cpu():global last_worktime, last_idletimef=open("/proc/stat","r")line=""while not "cpu " in line: line=f.readline()f.close()spl=line.split(" ")worktime=int(spl[2])+int(spl[3])+int(spl[4])idletime=int(spl[5])dworktime=(worktime-last_worktime)didletime=(idletime-last_idletime)rate=float(dworktime)/(didletime+dworktime)last_worktime=worktimelast_idletime=idletimeif(last_worktime==0): return 0return ratedef get_mem_usage_percent():try:f = open('/proc/meminfo', 'r')for line in f:if line.startswith('MemTotal:'):mem_total = int(line.split()[1])elif line.startswith('MemFree:'):mem_free = int(line.split()[1])elif line.startswith('Buffers:'):mem_buffer = int(line.split()[1])elif line.startswith('Cached:'):mem_cache = int(line.split()[1])elif line.startswith('SwapTotal:'):vmem_total = int(line.split()[1])elif line.startswith('SwapFree:'):vmem_free = int(line.split()[1])else:continuef.close()except:return Nonephysical_percent = usage_percent(mem_total - (mem_free + mem_buffer + mem_cache), mem_total)virtual_percent = 0if vmem_total > 0:virtual_percent = usage_percent((vmem_total - vmem_free), vmem_total)return physical_percent, virtual_percentdef usage_percent(use, total):try:ret = (float(use) / total) * 100except ZeroDivisionError:raise Exception("ERROR - zero division error")return retstatvfs = os.statvfs('/')total_disk_space = statvfs.f_frsize * statvfs.f_blocksfree_disk_space = statvfs.f_frsize * statvfs.f_bfreedisk_usage = (total_disk_space - free_disk_space) * 100.0 / total_disk_spacedisk_usage = int(disk_usage)disk_tip = "硬盘空间使用率（最大100%）："+str(disk_usage)+"%"print(disk_tip)mem_usage = get_mem_usage_percent()mem_usage = int(mem_usage[0])mem_tip = "物理内存使用率（最大100%）："+str(mem_usage)+"%"print(mem_tip)cpu_usage = int(get_cpu()*100)cpu_tip = "CPU使用率（最大100%）："+str(cpu_usage)+"%"print(cpu_tip)load_average = os.getloadavg()load_tip = "系统负载（三个数值中有一个超过3就是高）："+str(load_average)print(load_tip)
2、Linux服务器文件创建
可通过在Linux服务器上touch创建一个py文件，然后为该文件附上权限。即可执行
效果如下：
python test.py
这样可以即时快速的判断服务器的相关性能，定位服务器环境问题。
如果觉得《Python脚本实现对Linux服务器CPU 内存 磁盘空间以及负载情况的监测》对你有帮助，请点赞、收藏，并留下你的观点哦！
