一 前言
每次写技术文档，都想发表一下现在的情绪，真的很久很久，没写文档了。可能是自己变懒了，又或者真的没啥心情写了吧。最近一年改变很多，该走的人拦不住，该来的人你也挡不住，还是顺其自然吧，经过一年的时间也慢慢学会了自己独处。
有时想想人孤零零的一个人来着世上，不管中间经过多少人，多少事情，不出意外也会孤零零的一个人走。从开始到结尾都是一个人，所以该忘记的人要学会忘记，该放手的也要学会放手。不要为难自己，也不要强求别人。
说了这么多的废话，开始主题了。
二 懒人必备zabbix监控之 LLD (low level discovery)
本次的教程是我想监控kafka的消费情况，举个栗子
[root@VM_0_98_centos bin]# ./kafka-consumer-groups.sh --bootstrap-server 172.20.150.1:9092 --describe --group ee TOPIC PARTITION CURRENT-OFFSET LOG-END-OFFSET LAG CONSUMER-ID HOST CLIENT-ID ee_172_20_50 0 93864 93864 0 ee-0-213a104f-f2b7-490d-80cd-a4e391f292ab /172.20.150.1 ee-0 ee_172_20_25 0 592471 592480 9 ee-0-213a104f-f2b7-490d-80cd-a4e391f292ab /172.20.150.1 ee-0 ee_172_20_19 0 156781 156781 0 ee-0-213a104f-f2b7-490d-80cd-a4e391f292ab /172.20.150.1 ee-0 ee_172_20_26 0 1345 1345 0 ee-0-213a104f-f2b7-490d-80cd-a4e391f292ab /172.20.150.1 ee-0 ee_172_20_22 0 197724 197747 23 ee-0-213a104f-f2b7-490d-80cd-a4e391f292ab /172.20.150.1 ee-0 ee_172_20_23 0 147067 147067 0 ee-0-213a104f-f2b7-490d-80cd-a4e391f292ab /172.20.150.1 ee-0 ee_172_20_24 0 620405 620406 1 ee-0-213a104f-f2b7-490d-80cd-a4e391f292ab /172.20.150.1 ee-0 ee_172_20_21 0 7883826 7883828 2 ee-0-213a104f-f2b7-490d-80cd-a4e391f292ab /172.20.150.1 ee-0 ee_scm 0 205365 205365 0 - - - 说明: 红色部分表示表示消费的个数，黄色部分为生产的个数，绿色部分为剩余多少个
这个够直接了吧，先说一下为啥使用LLD 呢，这个先不解释。看完你应该会明白吧，如果不明白，就跟着耍一遍，应该就明白了
1 zabbix_agent 端配置
[root@VM_0_98_centos ~]# cat /opt/zabbix_agent/conf/zabbix_agentd.conf PidFile=/opt/zabbix_agent/pids/zabbix_agentd.pid LogFile=/opt/zabbix_agent/logs/zabbix_agentd.log LogFileSize=0 AllowRoot=1 # StartAgents=0 Server=zabbix-server_IP ServerActive=zabbix-server_IP Hostname=VM_0_98_centos_zabbix-agent_IP Include=/opt/zabbix_agent/conf/zabbix_agentd/*.conf UnsafeUserParameters=1 HostMetadataItem=system.uname HostMetadata=ee_mq Timeout=30
在总的配置文件中定义导入其他配置文件，这里说一下为啥需要分配置文件，因为我觉得清爽，没啥理由。如果硬要给一个理由就是，我喜欢这样，好吧，我承认这样非常方便管理
[root@VM_0_98_centos zabbix_agentd]# ll total 20 -rwxr-xr-x 1 zabbix zabbix 173 Mar 12 11:11 java_process.conf -rw-r--r-- 1 root root 180 Mar 15 11:47 kafka.conf -rwxr-xr-x 1 zabbix zabbix 75 Mar 8 17:11 tcp_conn_status.conf
看到没，我分配了很多配置文件，每个文件对应前端一个模板，脚本中的一个或者几个脚本。这样管理起来非常的方便。如果不分开，后期维护的人会非常恨你。曾经听说一个程序员因不满其他四个同事的做事风格把他们四个枪毙了，你看着办吧
[root@VM_0_98_centos zabbix_agentd]# cat kafka.conf UserParameter=kafka.discovery,sudo python /opt/zabbix_agent/scripts/kafka/get_kafka.py UserParameter=kafka.data[*],sudo python /opt/zabbix_agent/scripts/kafka/get_data.py $1 $2 $3
脚本一共三个文件
[root@VM_0_98_centos kafka]# ll total 12 -rwxr-xr-x 1 root root 2526 Mar 15 11:42 get_data.py -rwxr-xr-x 1 zabbix zabbix 2279 Mar 15 11:32 get_kafka.py -rw-r--r-- 1 zabbix zabbix 18 Mar 14 16:47 kafka_monitor.yaml
1）先来看看配置文件中是啥kafka_monitor.yaml
[root@VM_0_98_centos kafka]# cat kafka_monitor.yaml groups: ee ng
没错，就是你logstash中自己定义的group
2）先看get_kafka.py 中是干啥的呢？
#!/usr/bin/env python
# coding:utf-8
import yaml
import os
import sys
import subprocess
import re
import time
import json
# ./kafka-consumer-groups.sh --bootstrap-server 172.20.150.1:9092 --describe --group ee
class KafkaMonitor(object):
def __init__(self):
self.bootstrap_server = "172.20.150.1:9092"
self.cmd = "/opt/kafka/kafka_2.12-2.1.0/bin/kafka-consumer-groups.sh"
try:
f = file(os.path.dirname(os.path.abspath(__file__)) + '/' + 'kafka_monitor.yaml')
self.groups = yaml.load(f)
except IOError as e:
print 'Error, kafka_monitor.yaml is not found'
sys.exit(1)
else:
f.close()
if self.groups is None:
self.groups = {}
print 'Error, kafka_monitor.yaml content is empty'
sys.exit(2)
def run(self):
self.result_list = []
for self.group in self.groups.values()[0].split():
self.cmd_run = "%s --bootstrap-server %s --describe --group %s | egrep -v 'TOPIC|^$'" % (
self.cmd, self.bootstrap_server, self.group)
subp = subprocess.Popen(self.cmd_run, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
self.datas_list = subp.stdout.readlines()
self.result_dict = {}
for data_list in self.datas_list:
data_list = data_list.strip().split()
# self.result_data = {'datetime': time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()), 'topic': data_list[0],
# 'group': self.arg1, 'partition': int(data_list[1]), 'logsize': data_list[2],
# 'offset': int(data_list[3]), 'lag': data_list[4]}
# self.result_data = {"{#GROUPNAME}": self.arg1,"{#TOPICNAME}": data_list[0],
# "{#LOGSIZE}": int(data_list[2]),"{#OFFSET}":int(data_list[3]),"{#LAG}": int(data_list[4])}
self.result_data = {"{#GROUPNAME}": self.group,"{#TOPICNAME}": data_list[0]}
self.result_list.append(self.result_data)
print json.dumps({"data": self.result_list},sort_keys=True,indent=4)
if __name__ == "__main__":
client = KafkaMonitor()
client.run()
也没啥，就是读取刚才的kafka_monitor.yaml 的配置文件，然后执行一条指令。就是开始的那个指令，获取一些你想要的数据，然后清洗一下格式，得到你想要的结果。用官方的话说就是 kafka_monitor.yaml是输入---> 处理 ---> 得到你想要的结果。
看看结果是啥吧
[root@VM_0_98_centos kafka]# python get_kafka.py
{
"data": [
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "mqtt_110_2"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_50"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_25"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_19"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_26"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_22"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_23"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_24"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_21"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "personal_income_tax_172_20_20"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "personal_income_tax_172_20_28"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "personal_income_tax_172_20_27"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "personal_income_tax_172_20_26"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_scm"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "personal_income_tax_nginx_access_172_20_28"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "personal_income_tax_nginx_error_172_20_20"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "personal_income_tax_nginx_access_172_20_20"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "personal_income_tax_nginx_error_172_20_28"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "nginx_error"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "nginx_access"
}
]
}
没错，就是groupname和topicname，具体为啥是这种格式，zabbix规定的吧。其中 {#GROUPNAME}和{#TOPICNAME}可以在zabbix-server前端配置页中看做是 宏变量
3）看一下第三个脚本吧get_data.py
这个是干啥的呢，就是你给我
#!/usr/bin/env python
# coding:utf-8
import yaml
import os
import sys
import subprocess
import re
import time
import json
# ./kafka-consumer-groups.sh --bootstrap-server 172.20.150.1:9092 --describe --group ee
class KafkaMonitor(object):
def __init__(self):
self.group_name = sys.argv[1]
self.topic_name = sys.argv[2]
self.data_type = sys.argv[3]
self.bootstrap_server = "172.20.150.1:9092"
self.cmd = "/opt/kafka/kafka_2.12-2.1.0/bin/kafka-consumer-groups.sh"
try:
f = file(os.path.dirname(os.path.abspath(__file__)) + '/' + 'kafka_monitor.yaml')
self.groups = yaml.load(f)
except IOError as e:
print 'Error, kafka_monitor.yaml is not found'
sys.exit(1)
else:
f.close()
if self.groups is None:
self.groups = {}
print 'Error, kafka_monitor.yaml content is empty'
sys.exit(2)
def run(self):
self.result_list = []
for self.group in self.groups.values()[0].split():
self.cmd_run = "%s --bootstrap-server %s --describe --group %s | egrep -v 'TOPIC|^$'" % (
self.cmd, self.bootstrap_server, self.group)
subp = subprocess.Popen(self.cmd_run, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
self.datas_list = subp.stdout.readlines()
self.result_dict = {}
for data_list in self.datas_list:
data_list = data_list.strip().split()
if self.group_name == self.group and self.topic_name == data_list[0]:
if self.data_type == "offset":
print int(data_list[3])
elif self.data_type == "logsize":
print int(data_list[2])
else:
print int(data_list[4])
# self.result_data = {'datetime': time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()), 'topic': data_list[0],
# 'group': self.arg1, 'partition': int(data_list[1]), 'logsize': data_list[2],
# 'offset': int(data_list[3]), 'lag': data_list[4]}
# self.result_data = {"{#GROUPNAME}": self.arg1,"{#TOPICNAME}": data_list[0],
# "{#LOGSIZE}": int(data_list[2]),"{#OFFSET}":int(data_list[3]),"{#LAG}": int(data_list[4])}
if __name__ == "__main__":
client = KafkaMonitor()
client.run()
以供接收三个参数，groupname和topname，data_type(lag/offset/logsize) 然后输出一个值，看一下执行结果吧
[root@VM_0_98_centos kafka]# python get_data.py ee personal_income_tax_172_20_26 lag 0
看到了吧。执行有点慢，到了这步之后，你就可以重启你的zabbix_agent了
2 zabbix-server 测试
[root@VM_4_84_centos ~]# zabbix_get -s 172.20.150.1 -p 10050 -k kafka.discovery
{
"data": [
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "mqtt_110_2"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_50"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_25"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_19"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_26"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_22"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_23"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_24"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_172_20_21"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "personal_income_tax_172_20_20"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "personal_income_tax_172_20_28"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "personal_income_tax_172_20_27"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "personal_income_tax_172_20_26"
},
{
"{#GROUPNAME}": "ee",
"{#TOPICNAME}": "ee_scm"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "personal_income_tax_nginx_access_172_20_28"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "personal_income_tax_nginx_error_172_20_20"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "personal_income_tax_nginx_access_172_20_20"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "personal_income_tax_nginx_error_172_20_28"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "nginx_error"
},
{
"{#GROUPNAME}": "ng",
"{#TOPICNAME}": "nginx_access"
}
]
}
[root@VM_4_84_centos ~]# zabbix_get -s 172.20.150.1 -p 10050 -k kafka.data[ng,personal_income_tax_nginx_access_172_20_20,lag] 15
看到了吧，是不是很简单
3 zabbix-server 页面配置
1）看图吧
看图吧
还是看图吧哈哈
2）搞个图出来吧
然后应用到你的主机就可以啦。
现在说说为啥这种情况，我选择了LLD呢，因为我的topicname非常多，我不想自己配置，后期还是不断的增加，我也不想配置。那这种LLD的方式可以满足你，这里需要注意一点的是，如果你的组增加了，需要在配置文件中 kafka_monitor.yaml 加上就可以了。
所谓的自动化，我的理解就是想法设法的偷懒，并且标准化的环境，高效的执行，你只需要看着他执行就行了。
写在最后，祝愿天下所有有情人终成眷属