由于项目的需要，需要做一个简单监控服务器的CPU利用率、CPU负载、硬盘使用率、内存利用率和服务器的各个端口的开启情况的程序，并把结果通知到监控平台，如果出现异常，监控平台打电话或者发短信通知给具体的运维人员

python版本要求：python3.0 以上

安装 python 的 psutil 包 和 requests 包

pip install psutil

pip install requests

Linux系统下运行效果

Windows系统下运行效果

代码实例核心程序

# 获取端口信息 @classmethod def get_ports(cls, port): sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) result = sock.connect_ex(('127.0.0.1',int(port))) if result != 0: send_data = cls.g_web_ip+"服务器的"+port+'端口挂了，快去修复哈' cls.send_msg(send_data) else: print("端口："+port+"正常") # CPU利用率 @classmethod def get_cpu_used(cls): if (sysstr == "Linux"): f = os.popen("top -bi -n 1| awk '{print $4}'").read().split('\n')[2] float_cpu_used = float(f) float_g_cpu_used = float(cls.g_cpu_used.split("%")[0]) print("CPU利用率:",f,"%") if float(float_cpu_used) > float(float_g_cpu_used): cls.send_msg(cls.g_web_ip+"服务器的CPU利用率超过"+cls.g_cpu_used+"了，快去看看咋回事！") else: print(sysstr + " CPU Adoption rate Cannot read.") printL() # CPU平均负载 @classmethod def aver_load(cls): if (sysstr == "Linux"): f = os.popen("uptime | sed 's/,//g' | awk '{print $8,$9,$10}'") str_aver_load = f.read().strip().split(":")[1].strip() print("CPU平均负载:",str_aver_load) if float(str_aver_load) > float(cls.g_aver_load): cls.send_msg(cls.g_web_ip+"服务器的CPU平均负载超过"+cls.g_aver_load+"了，快去看看咋回事！") else: print(sysstr + " CPU Load average Cannot read.") printL() #获取硬盘使用率 @classmethod def get_disk_used(cls): if (sysstr == "Linux"): disk_val = os.popen("df -h | head -2 | tail -1 |awk '{print $5}'").read().strip() int_disk_val = int(disk_val.split("%")[0]) int_g_disk_val = int(cls.g_disk_used.split("%")[0]) print("硬盘使用率:",disk_val) if int_disk_val > int_g_disk_val: cls.send_msg(cls.g_web_ip+"服务器的硬盘使用率超过"+cls.g_disk_used+"了，快去看看咋回事！") else: print(sysstr + " hard disk Cannot read.") printL() # 获取内存使用率 @classmethod def get_mem_used(cls): if (sysstr == "Linux"): f = os.popen("free -m |grep Mem |awk '{print $3/$2}'") str_men = f.read().strip() print("内存使用率:",str_men) if float(str_men) > float(cls.g_mem_used): cls.send_msg(cls.g_web_ip+"服务器的内存使用率超过"+cls.g_mem_used+"了，快去看看咋回事！") else: print(sysstr + " RAM Cannot read.") printL() #调用报警函数 @classmethod def send_msg(cls, content): cls.send_http(content) # 调用http接口 @classmethod def send_http(cls,content): printL() print("send_http:",type(content),content) url_total = cls.g_php_url + "?msg=" + content print("url_total:",url_total) rp = requests.get(url_total) print("rp:",rp.text) printL() # 发微信预警消息 @classmethod def send_wx_alarm(cls,content): post_url = cls.g_wx_url for id in cls.g_wx_id: try: post_data = '{"operSys":"MCS","content":"服务器监控告警：%s\n%s","phones":"%s"}'%(cls.g_web_ip, content, id) print(post_data) # data = urllib.parse.urlencode(post_data) # data = data.encode('utf-8') req = requests.get(url=post_url,data=post_data) print("send_wx_alarm req:",req,type(req)) result = json.loads(req.text()) print(result) except Exception as e: print("send_wx_alarm:",e) # 发邮件预警消息 @classmethod def send_email_alarm(cls,content): post_url = cls.g_email_url for id in cls.g_email_id: try: post_data = '{"subject":"%s服务器监控告警","email":"%s","bccEmail":"","operSys":"LOG","content":"%s"}'%(cls.g_web_ip, id, content) print(post_data) # data = urllib.parse.urlencode(post_data) # data = data.encode('utf-8') req = requests.get(url=post_url,data=post_data) print("send_email_alarm req:",req,type(req)) # req.add_header("Content-Type", "application/x-

启动方式

nohup python3 monitor.py > monitor.log 2>&1 &

注：需要定期清理 monitor.log 文件

本文的完整实例源码在这里下载

本文主要实例了Python3监控windows,linux系统的CPU、硬盘、内存使用率和各个端口的开启情况详细代码实例，更多关于Python3监控实例与技巧请查看下面的相关链接