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

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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