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Cacti监控mysql数据库服务器实现过程

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Cacti监控mysql数据库服务器实现过程
2014-05-29      0 个评论    来源:Cacti监控mysql数据库服务器实现过程  
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1 先在cacti服务器端安装mysql模板

wget https://mysql-cacti-templates.googlecode.com/files/better-cacti-templates-1.1.8.tar.gz

tar –xvf better-cacti-templates-1.1.8.tar.gz

cd better-cacti-templates-1.1.8

将better-cacti-templates-1.1.8\scripts下的 ss_get_mysql_stats.php 这个脚本 这个脚本需要放在cacti的服务端。

比如cacti部署在/var/www/html目录下,那么就cp到/var/www/html/cacti/scripts/下

cp

/root/better-cacti-templates-1.1.8/scripts/ss_get_mysql_stats.php/var/www/html/cacti/scripts/

修改ss_get_mysql_stats.php文件 第30行

$mysql_user = ‘cacti_user‘;

赋予apache账号操作权限

chown -R apache.apache/var/www/html/cacti/scripts

chmod -R 755 /var/www/html/cacti/scripts

使用http访问cacti主机导入:

/root/better-cacti-templates-1.1.8/templates/cacti_host_template_x_mysql_server_ht_0.8.6i-sver1.1.8.xml

2,建立mysql账号

在被监控的mysql服务器建立数据库的cacti账号,需要PROCESS, SUPER, REPLICATION CLIENT权限,SQL如下:

GRANT PROCESS, SUPER, REPLICATION CLIENT ON*.* TO ‘cacti‘@‘%‘ IDENTIFIED BY ‘‘;

3,在cacti上面添加主机:

3.1点击Create devices

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3.2进去之后再点击add按钮,添加主机

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3.3 录入描述符和主机名或者IP地址,点击右下角的Create按钮即可。

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3.4 界面报错如下:

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看到在cacti中添加监控主机时,提示错误“SNMP error”,一般有2种处理办法:

(1),确定cacti所有的主机能ping通被监控主机;如果不能ping通,请确认网络配置和被监控主机的ip设置是否正确。

[root@squid-2 templates]# ping 10.xxx.3.xx

PING 10.254.3.72 (10.254.3.72) 56(84) bytesof data.

64 bytes from 10.xx.3.xx: icmp_seq=1 ttl=64time=0.427 ms

64 bytes from 10.xx.3.xx: icmp_seq=2 ttl=64time=0.389 ms

64 bytes from 10.xx.3.xx: icmp_seq=3 ttl=64time=0.402 ms

64 bytes from 10.xx.3.xx: icmp_seq=4 ttl=64time=0.415 ms

可以ping通,证明不是网络故障。

(2),确认被监控主机是否启用snmpd服务:

[root@xxx ~]# ps -eaf|grep snmpd

root 4540 27133 0 17:15 pts/0 00:00:00 grep snmpd

[root@xxx ~]#

[root@xxx ~]# service snmpd start

snmpd: 未被识别的服务

[root@xxx ~]#

被监控主机需要安装snmpd服务,使用yum -y install snmpd 安装snmpd服务。

[root@db-m2-slave-1 ~]# service snmpdrestart

snmpd: 未被识别的服务

[root@db-m2-slave-1 ~]#

[root@db-m2-slave-1 ~]# yum -y install snmp

Loaded plugins: fastestmirror, security

Loading mirror speeds from cached hostfile

*base: mirror.neu.edu.cn

*extras: mirror.neu.edu.cn

*updates: mirror.neu.edu.cn

Setting up Install Process

No package snmp available.

Error: Nothing to do

Yum安装不了,试试yum install -y net-snmp,安装成功:

[root@db-m2-slave-1 ~]# yum install -ynet-snmp

Loaded plugins: fastestmirror, security

Loading mirror speeds from cached hostfile

*base: mirror.neu.edu.cn

*extras: mirror.neu.edu.cn

*updates: mirror.neu.edu.cn

Setting up Install Process

Resolving Dependencies

--> Running transaction check

---> Package net-snmp.x86_641:5.5-49.el6_5.1 will be installed

--> Processing Dependency: net-snmp-libs= 1:5.5-49.el6_5.1 for package: 1:net-snmp-5.5-49.el6_5.1.x86_64

--> Processing Dependency:libsensors.so.4()(64bit) for package: 1:net-snmp-5.5-49.el6_5.1.x86_64

--> Processing Dependency:libnetsnmptrapd.so.20()(64bit) for package: 1:net-snmp-5.5-49.el6_5.1.x86_64

--> Processing Dependency:libnetsnmpmibs.so.20()(64bit) for package: 1:net-snmp-5.5-49.el6_5.1.x86_64

[root@db-m2-slave-1 ~]# service snmpdrestart

停止 snmpd: [失败]

正在启动 snmpd: [确定]

[root@db-m2-slave-1 ~]#

也可以用 service snmpd reload命令来重新加载。

(3),这个时候去看主机状态,正在恢复中:

然后也可以到cacti服务器上,运行snmpwalk来check下:

snmpwalk-c public -v 2c 10.xxx.1.xx # (这个ip10.xxx.1.xx为被监控主机的ip地址)

如果能够接收到被监控机器的数据信息,则表示被监控主机的snmp配置已经完成,没有错误。

4,继续添加被监控主机的画图,增加graphs:

在Console界面右侧,点击Createdevices连接,如下图所示:

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" />

然后点击host主机名连接,如下:

技术分享

然后点击右上角的Create Graphs for this Host 连接

技术分享

5,添加主机组

在graphs下面添加tree,点击console,选择左边栏的Graphs Trees,点击右边的Add按钮,

输入trees名字,选择排序类型为Natural Ordering,点击Create按钮创建。

技术分享

之后选择创建好的graphs trees,点击add按钮往trees里面添加database主机,加完如下图:技术分享

之后点击最上面的graphs,就会出现

Cacti监控mysql数据库服务器实现过程

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原文地址:http://www.cnblogs.com/zhengah/p/4623368.html

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