centos中单进程监控

[root@k8s6 proc]# ps aux|grep -v PID|sort -rn -k +|head -
root         0.4  0.9   ?        Ssl  :   : /usr/bin/dockerd
root         0.2  0.1    ?        Ssl  :   : /usr/bin/vmtoolsd
root        0.1  0.1    ?        Ssl  :   : docker-containerd -l unix:///var/run/docker/libcontainerd/docker-containerd.sock --metrics-interval=0 --start-timeout 2m --state-dir /var/run/docker/libcontainerd/containerd --shim docker-containerd-shim --runtime docker-runc
root         0.0  0.4   ?        Ssl  :   : /usr/bin/python -Es /usr/sbin/tuned -l -P
root         0.0  0.1    ?        Ss   :   : /usr/sbin/sshd -D
[root@k8s6 proc]#
[root@k8s6 proc]#
[root@k8s6 proc]# ps aux|head -
USER       PID %CPU %MEM    VSZ   RSS TTY      STAT START   TIME COMMAND

一、用python实现前5个进程的监控

1）用该命令把内容实时更新推送至该文件

ps aux|grep -v PID|sort -rn -k +3|head -5 > test.txt

2）用python获取该文件的内容

status = []
with open('test.txt',mode='r',encoding='utf-8') as f:
    for line in f:
        line = line.split('\n')[].split(' ')

        for li in line:
            if len(li) != :
                pass
            else:
                line.remove(li)
        status.append(line)
for i in status:
    print(i)

3）利用传值的方式获取每个进程的cpu

import sys
run = sys.argv
cmd = int(run[]) -
status = []

with open('test.txt',mode='r',encoding='utf-8') as f:
    for line in f:
        line = line.split('\n')[].split(' ')

        for li in line:
            if len(li) != :
                pass
            else:
                line.remove(li)
        status.append(line)

print(status[cmd][])

指定获取每行的cpu进程

python cpu_test.py         # 第1高进程
python cpu_test.py         # 第2高进程
python cpu_test.py         # 第3高进程
python cpu_test.py         # 第4高进程
python cpu_test.py         # 第5高进程

4）修改脚本文件，也可以实现获取到每个进程所占用的内存空间

import sys
run = sys.argv
cmd = int(run[]) -
status = []

with open('test.txt',mode='r',encoding='utf-8') as f:
    for line in f:
        line = line.split('\n')[].split(' ')

        for li in line:
            if len(li) != :
                pass
            else:
                line.remove(li)
        status.append(line)

print(status[cmd][])

获取每行的所占用的内存

python cpu_test.py         # 第1高进程
python cpu_test.py         # 第2高进程
python cpu_test.py         # 第3高进程
python cpu_test.py         # 第4高进程
python cpu_test.py         # 第5高进程

二、完善脚本，直接获取结果至内存

1) 针对cpu

import sys
import subprocess
run = sys.argv
cmd=int(run[]) -
status = []
obj=subprocess.Popen('ps aux|grep -v PID|sort -rn -k +3|head -3',
                 shell=True,
                 stdout=subprocess.PIPE,
                 stderr=subprocess.PIPE
                 )
result = obj.stdout
status = []
for line in result:
        line = line.split('\n')[].split(' ')
        for li in line:
            if len(li) != :
                pass
            else:
                line.remove(li)
        status.append(line)
result= float(status[cmd][]) *
print(result)

cpu.py

执行 python cpu.py 1 到 3

2）针对men

import sys
import subprocess
run = sys.argv
cmd=int(run[]) -
status = []
obj=subprocess.Popen('ps aux|grep -v PID|sort -rn -k +3|head -3',
                 shell=True,
                 stdout=subprocess.PIPE,
                 stderr=subprocess.PIPE
                 )
result = obj.stdout
status = []
for line in result:
        line = line.split('\n')[].split(' ')
        for li in line:
            if len(li) != :
                pass
            else:
                line.remove(li)
        status.append(line)
result= float(status[cmd][]) *
print(result)

men.py

执行 python men.py 1 到 3

三、监控cpu，内存

#!/usr/bin/env python
# -*- coding:utf-8 -*- -
import os, time

last_worktime=0
last_idletime=0

def get_cpu():
        global last_worktime, last_idletime
        f=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=worktime
        last_idletime=idletime
        if(last_worktime==0): return 0
        return rate

def 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:
                continue
        f.close()
    except:
        return None
    physical_percent = usage_percent(mem_total - (mem_free + mem_buffer + mem_cache), mem_total)
    virtual_percent = 0
    if vmem_total > 0:
        virtual_percent = usage_percent((vmem_total - vmem_free), vmem_total)
    return physical_percent, virtual_percent

def usage_percent(use, total):
    try:
        ret = (float(use) / total) * 100
    except ZeroDivisionError:
        raise Exception("ERROR - zero division error")
    return ret

statvfs = os.statvfs('/')

total_disk_space = statvfs.f_frsize * statvfs.f_blocks
free_disk_space = statvfs.f_frsize * statvfs.f_bfree
disk_usage = (total_disk_space - free_disk_space) * 100.0 / total_disk_space
disk_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)

cpu_disk_men