使用Elasticsearch、Logstash、Kibana与Redis(作为缓冲区)对Nginx日志进行收集(转)

摘要

使用Elasticsearch、Logstash、Kibana与Redis(作为缓冲区)对Nginx日志进行收集


版本

elasticsearch版本: elasticsearch-2.2.0

logstash版本: logstash-2.2.2

kibana版本: kibana-4.3.1-darwin-x64

jdk版本: jdk1.8.0_65

内容

目标架构

准备工作

参考以下文章安装好ELK与Redis

ELK Stack (1) —— ELK + Redis安装

以CAS系列中的使用的Nginx负载均衡器为例

CAS (1) —— Mac下配置CAS到Tomcat(服务端)

CAS (5) —— Nginx代理模式下浏览器访问CAS服务器配置详解

ELK配置

  • Nginx

    修改nginx.conf

    log_format logstash '$http_host $server_addr $remote_addr [$time_local] "$request" '
                '$request_body $status $body_bytes_sent "$http_referer" "$http_user_agent" '
                '$request_time $upstream_response_time';

  • Elasticsearch

    修改elasticsearch.yml

    cluster.name: logstash_elasticsearch
    http.cors.allow-origin: "/.*/"
    http.cors.enabled: true

  • Logstash

    • /logstash/conf/logstash_agent.conf

      input {
              file {
                      type => "nginx_access"
                      path => ["/usr/share/nginx/logs/test.access.log"]
              }
      }
      output {
              redis {
                      host => "localhost"
                      data_type => "list"
                      key => "logstash:redis"
              }
      }           
    • /logstash/conf/logstash_indexer.conf

      input {
              redis {
                      host => "localhost"
                      data_type => "list"
                      key => "logstash:redis"
                      type => "redis-input"
              }
      }
      filter {
          grok {
              match => [
                  "message", "%{WORD:http_host} %{URIHOST:api_domain} %{IP:inner_ip} %{IP:lvs_ip} \[%{HTTPDATE:timestamp}\] \"%{WORD:http_verb} %{URIPATH:baseurl}(?:\?%{NOTSPACE:request}|) HTTP/%{NUMBER:http_version}\" (?:-|%{NOTSPACE:request}) %{NUMBER:http_status_code} (?:%{NUMBER:bytes_read}|-) %{QS:referrer} %{QS:agent} %{NUMBER:time_duration:float} (?:%{NUMBER:time_backend_response:float}|-)"
              ]
          }
          kv {
              prefix => "request."
              field_split => "&"
              source => "request"
          }
          urldecode {
              all_fields => true
          }
          #date {
          #    type => "log-date"
          #    match => ["timestamp" , "dd/MMM/YYYY:HH:mm:ss Z"]
          #}
          date {
              match => ["logdate" , "dd/MMM/YYYY:HH:mm:ss Z"]
          }
      }
      output {
              elasticsearch {
                      #embedded => false
                      #protocol => "http"
                      hosts => "localhost:9200"
                      index => "access-%{+YYYY.MM.dd}"
              }
      }

    注意有些网络示例为旧版本配置,新版本下output的embedded、protocol以及filter的date都有所更新。

  • Kibana

    创建Index Pattern: access-*

测试

访问本地Kibana http://localhost:5601/

参考

参考来源:

elk+redis实现nginx日志集中化管理

ELK+redis搭建nginx日志分析平台

使用elk+redis搭建nginx日志分析平台

logstash elasticsearch redis Kibana 收集Nginx 和Tomcat日志配置

Elastic + kibana + logstash + redis 对mongodb, nginx日志进行分析

http://www.cnblogs.com/richaaaard/p/5210118.html

 

posted @ 2016-05-27 17:15  沧海一滴  阅读(454)  评论(0编辑  收藏  举报