应用场景
由于朋友所在公司对安全性要求较高,zabbix所在的网络环境不能上外网,因此不能通过zabbix将告警直接发送至一些即时通讯工具,这就需要将报警消息发送至一些中间件,并通过中间件转发出去,这里选择使用了kafka,当然kafka中不只有报警信息,也有其他需要发送的数据,这里就不过多透漏
基础环境配置
kafka集群已部署好,这里不介绍安装细节
vim /etc/hosts
192.168.179.133 kafka3
192.168.179.132 kafka2
192.168.179.131 kafka1

启动zookeeper以及kafka
为了能让消费者均匀消费broker里的数据,这里我设置了6分区三副本
启动zookeepercd /root/kafka_2.12-2.4.1nohup bin/zookeeper-server-start.sh config/zookeeper.properties & >> zookeeper.log &启动kafkanohup bin/kafka-server-start.sh config/server.properties & >> kafka.log &创建topicsbin/kafka-topics.sh --create --zookeeper kafka1:2181,kafka2:2181,kafka3:2181 --replication-factor 3 --partitions 6 --topic zabbix-alertbin/kafka-topics.sh --list --bootstrap-server 192.168.179.132:9092编写脚本将报警信息发送至kafka中
vim /usr/lib/zabbix/alertscripts/alert_kafka.pychmod +x /usr/lib/zabbix/alertscripts/alert_kafka.py#!/usr/bin/python#coding=utf-8from kafka import KafkaProducerimport json,sysreceive=sys.argv[1]message=sys.argv[2]producer = KafkaProducer(value_serializer=lambda v: json.dumps(v).encode('utf-8'),bootstrap_servers=['192.168.179.132:9092','192.168.179.133:9092','192.168.179.134:9092'])data={"receive":receive,"alert":message}producer.send('zabbix-alert', data)producer.close()编写脚本接收报警信息并发送至企业微信
关于企业微信的配置可查看专辑的其他文章 Double冬,公众号:没有故事的陈师傅在zabbix中实现发送带有图片的邮件和微信告警 vim /usr/lib/zabbix/alertscripts/receive.py#!/usr/bin/python#coding=utf-8from kafka import KafkaConsumerimport json,requestsimport sysfrom requests.packages.urllib3.exceptions import InsecureRequestWarningrequests.packages.urllib3.disable_warnings(InsecureRequestWarning)reload(sys)sys.setdefaultencoding('utf-8')corpid='ww95f3a6ffd22fiyhe8b8'secret='iJjHQxTCjIMyW7ZjzityucxqA7Hg2fjcLM2ssdvwY1Zc'agentid='1000002''''消费zabbix-alert主题中的数据注意事项:如需以json格式读取数据需加上value_deserializer参数'''consumer = KafkaConsumer('zabbix-alert',group_id="zabbix-alert",bootstrap_servers=['192.168.179.132:9092','192.168.179.133:9092','192.168.179.134:9092'],auto_offset_reset='earliest',value_deserializer=json.loads)def gettoken():tokenurl = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"data = {"corpid": corpid,"corpsecret": secret}r = requests.get(url=tokenurl, params=data, verify=False)token = r.json()['access_token']return tokendef sendweixin(token):wechaturl="https://qyapi.weixin.qq.com/cgi-bin/message/send?access_token=%s"%tokendata={"touser" : messages['receive'],"msgtype" : "text","agentid" : agentid,"text" : {"content" : messages['alert']},"safe": "0"}headers = {'content-type': 'application/json'}req = requests.post(url=wechaturl,headers=headers,json=data, verify=False)print(req.text)return reqfor message in consumer:token=gettoken()#messages=json.dumps(message.value,ensure_ascii=False)messages=message.valuesendweixin(token)将此脚本放入后台持续运行
nohup python alert_receive.py & >> alert.log &ZABBIX动作配置
创建报警媒介配置用户告警媒介
收件人为企业微信的用户id
配置动作
配置完成后触发告警进行测试
效果如下
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