Docker之ELK收集分析apache日志

在 /etc/logstash/conf.d/ 目录内新建文件 httpd.conf

root@b4bb675920c7:/# vi /etc/logstash/conf.d/httpd.conf

input {
    file {
        path => "/data/access_log"
        start_position => "beginning"
    }
}
filter {
    grok {
         match => { "message" => "%{IPORHOST:clientip} - - \[%{HTTPDATE:timestamp}\] \"(?:%{WORD:verb} %{NOTSPACE:request}(?: HTTP/%{NUMBER:httpversion})?|%{DATA:rawrequest})\" %{NUMBER:response} (?:%{NUMBER:bytes}) %{QS:referrer} %{QS:agent}"   }

    }
}
output {
    elasticsearch {
        hosts => ["localhost:9200"]
    }
    stdout {codec => rubydebug}
}

收集数据源

以apache日志为数据源, 通过logstash过滤后输出到elasticsearch收集起来, 然后在kibana进行可视化分析

接收数据源

root@b4bb675920c7:/# /opt/logstash/bin/logstash --path.data /root/ -f /etc/logstash/conf.d/apache.conf &  

浏览器访问 http://ip:5601

添加索引

来源：CSDN

作者：Z.P.F

链接：https://blog.csdn.net/weixin_46192300/article/details/104044640