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注意：如果你安装的是python3和pip3.那么下面的任何操作都应该是python3 和pip3 而不是python和pip

top 命令显示信息

监控思路

采集(使用Python脚本进行采集)

入库(Python脚本采集完插入Influxdb数据库)

展现(Grafana读取Influxdb的数据进行展现)

Python操作Influxdb数据库得先安装扩展

yum install epel-release -y #安装epel yum源

yum install python2-pip -y #安装pip工具

#安装Influxdb扩展：

pip install influxdb或者

pip install influxdb -i http://pypi.douban.com/simple --trusted-host pypi.douban.com都可以

如果此时出现异常：那么pip install --upgrade pip更新pip版本

这样就是成功了

yum install python-devel gcc -y

#安装psutil模块采集硬件信息：

pip install psutil或者

pip install psutil -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

如果此时失败，那么：

此时如果import psutil成功那么 就是成功了

python操作influxdb(/data/influxdb/test.py)

首先创建文件夹：[root@hadoop000 ~]# mkdir -pv /data/influxdb

然后编辑：vim /data/influxdb/test.py

python需要使用influxdb扩展去操作influxdb数据库

Client需要指定influxdb的ip、端口、用户名、密码、数据库名称

from influxdb import InfluxDBClientclient = InfluxDBClient('127.0.0.1', 8086, 'shijiange', '123456', 'shijiange')data_list = [{'measurement': 'mytest', 'tags': {'item':'host_ip_item'}, 'fields': {'value': 100}}]client.write_points(data_list)

运行该python脚本：[root@hadoop000 ~]# python /data/influxdb/test.py

验证Python操作Influxdb是否成功

influx -username 'shijiange' -password '123456' -database shijiange

select * from mytest

实战采集Cpu load并绘图(/data/influxdb/loadavg.py)

from influxdb import InfluxDBClientimport commandsclient = InfluxDBClient('127.0.0.1', 8086, 'shijiange', '123456', 'shijiange')status,loadavg1 = commands.getstatusoutput(" cat /proc/loadavg |awk '{print $1}' ")status,loadavg5 = commands.getstatusoutput(" cat /proc/loadavg |awk '{print $2}' ")status,loadavg15 = commands.getstatusoutput(" cat /proc/loadavg |awk '{print $3}' ")data_list = [{'measurement': 'loadavg', 'tags': {'item': 'shijiange_x.x.x.x_loadavg1'}, 'fields': {'value': float(loadavg1)}}]client.write_points(data_list)data_list = [{'measurement': 'loadavg', 'tags': {'item': 'shijiange_x.x.x.x_loadavg5'}, 'fields': {'value': float(loadavg5)}}]client.write_points(data_list)data_list = [{'measurement': 'loadavg', 'tags': {'item': 'shijiange_x.x.x.x_loadavg15'}, 'fields': {'value': float(loadavg15)}}]client.write_points(data_list)

进入/data/influxdb/运行该脚本：python /data/influxdb/loadavg.py

influx -username 'shijiange' -password '123456' -database shijiange

select * from loadavg

添加到linux的crontab任务，然后图表展示观察(/etc/crontab)

vim /etc/crontab

* * * * * root python /data/influxdb/loadavg.py >/dev/null 2>/dev/null

python监控cpu时间并入influxdb(/data/influxdb/cpu_times_percent.py)

vim /data/influxdb/cpu_times_percent.py

from influxdb import InfluxDBClientimport psutilcpu_times_percent = psutil.cpu_times_percent(interval=1)client = InfluxDBClient('127.0.0.1', 8086, 'shijiange', '123456', 'shijiange')data_list = [{'measurement': 'cpu_times_percent', 'tags': {'item': 'shijiange_x.x.x.x_user'}, 'fields': {'value': float(cpu_times_percent.user)}}]client.write_points(data_list)data_list = [{'measurement': 'cpu_times_percent', 'tags': {'item': 'shijiange_x.x.x.x_system'}, 'fields': {'value': float(cpu_times_percent.system)}}]client.write_points(data_list)data_list = [{'measurement': 'cpu_times_percent', 'tags': {'item': 'shijiange_x.x.x.x_iowait'}, 'fields': {'value': float(cpu_times_percent.iowait)}}]client.write_points(data_list)data_list = [{'measurement': 'cpu_times_percent', 'tags': {'item': 'shijiange_x.x.x.x_idle'}, 'fields': {'value': float(cpu_times_percent.idle)}}]client.write_points(data_list)

python /data/influxdb/cpu_times_percent.py

添加到linux的crontab任务，然后图表展示观察

[root@hadoop000 influxdb]# vim /etc/crontab

* * * * * root python /data/influxdb/cpu_times_percent.py >/dev/null 2>/dev/null

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