監控思路
采集(使用Python腳本進行采集)
入庫(Python腳本采集完插入Influxdb數據庫)
展現(Grafana讀取Influxdb的數據進行展現)
Python操作Influxdb數據庫得先安裝擴展
yum install epel-release -y #安裝epel yum源
yum install python2-pip -y #安裝pip工具
pip install influxdb -i http://pypi.douban.com/simple --trusted-host pypi.douban.com #安裝Influxdb擴展
yum install python-devel gcc -y
pip install psutil -i http://pypi.douban.com/simple --trusted-host pypi.douban.com #安裝psutil模塊采集硬件信息
python操作influxdb(/data/influxdb/test.py)
python需要使用influxdb擴展去操作influxdb數據庫
Client需要指定influxdb的ip、端口、用戶名、密碼、數據庫名稱
from influxdb import InfluxDBClient
client = 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)
驗證Python操作Influxdb是否成功
influx -username 'shijiange' -password '123456' -database shijiange
select * from mytest
實戰采集Cpu load並繪圖(/data/influxdb/loadavg.py)
from influxdb import InfluxDBClient
import commands
client = 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)
添加到linux的crontab任務，然后圖表展示觀察(/etc/crontab)
* * * * * root python /data/influxdb/loadavg.py >/dev/null 2>/dev/null
python監控cpu時間並入influxdb(/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, '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)
添加到linux的crontab任務，然后圖表展示觀察
* * * * * root python /data/influxdb/cpu_times_percent.py >/dev/null 2>/dev/null