ELK Stack (2) —— ELK + Redis收集Nginx日志

#ELK Stack (2) —— ELK + Redis收集Nginx日志

##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

结束

原文地址:https://www.cnblogs.com/richaaaard/p/5210118.html