07 grafana监控CPU

实验环境：
106.12.88.74 ----> Influxdb 1.7.6 Centos 7.5
106.12.88.228 ---> Grafana 6.2.2.1 Centos 7.5
+++++++++++++++++++++++++++++++++
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)
106.12.88.74 上面，写python 脚本。
Python操作Influxdb数据库得先安装扩展
yum install epel-release -y
yum install python2-pip -y
#安装Influxdb扩展
pip install influxdb -i http://pypi.douban.com/simple --trusted-host pypi.douban.com


验证influxdb扩展安装是否成功：


#安装psutil模块采集硬件信息
yum install python-devel gcc -y
pip install psutil -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

 

mkdir -p /data/influxdb 用于存放python脚本
python操作influxdb(/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
vim /data/influxdb/test.py
from influxdb import InfluxDBClient
client = InfluxDBClient('127.0.0.1', 8086, 'xc', 'win...@1.3', 'shijiange')
data_list = [{'measurement': 'mytest', 'tags': {'item':'host_ip_item'}, 'fields': {'value': 100}}]
client.write_points(data_list)
保存退出。


验证Python操作Influxdb是否成功


实战采集Cpu load并绘图(/data/influxdb/loadavg.py)
vim /data/influxdb/loadavg.py
from influxdb import InfluxDBClient
import commands
client = InfluxDBClient('127.0.0.1', 8086, 'xc', 'wind....@1.3', '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)


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


每分钟采集一次
登录Grafana （106.12.88.228），重新创建一个面板 cpu_jk 存放在shijiange这个文件夹
添加图形：
 











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 InfluxDBClient
import psutil
cpu_times_percent = psutil.cpu_times_percent(interval=1)
client = InfluxDBClient('127.0.0.1', 8086, 'xc', 'wind...@1.3', '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)




添加到linux的crontab任务，然后图表展示观察


登录Grafana ，复制先前创建的图形，cpu_load ，进行修改












 一定要保存。