filebeat+kafka+ELK5.4安装与部署
2017-06-08 16:46
691 查看
用ELK打造强大的日志分析平台,具体拓扑结构如下:
在这里我们将进行kafka+filebeat+ELK5.4的部署
各软件版本
2、ELK安装与配置
3、kafka安装与配置
这里我们只做单机192.168.12.105部署单节点《centos kafka单包单机部署》
4、logstah安装与配置
将filebeat分别拷贝到需要采集的服务器,进行解压,在这里我们分别采集Nginx,tomcat日志
Nginx服务器
完成以上,我们的平台就搭建好了,接下来我们创建索引
输入:logstash-nginxaccess*
输入logstash-tomcataccess*
数据通过filebeat到kafka、ELK成功展示出来
来张炫图
在这里我们将进行kafka+filebeat+ELK5.4的部署
各软件版本
jdk-8u131-linux-i586.tar.gz filebeat-5.4.0-linux-x86_64.tar.gz elasticsearch-5.4.0.tar.gz kibana-5.4.0-linux-x86_64.tar.gz logstash-5.4.0.tar.gz kafka_2.11-0.10.0.0.tgz1、JDK安装配置(略过)
2、ELK安装与配置
创建ELK用户,并进行文件解压 1.elasticsearch配置 [elk@localhost elasticsearch-5.4.0]$ vi config/elasticsearch.yml ..... network.host: 192.168.12.109 # # Set a custom port for HTTP: # http.port: 9200 .......... 保存,启动 [elk@localhost elasticsearch-5.4.0]$ nohup bin/elasticsearch & 验证 # [elk@localhost elasticsearch-5.4.0]$ curl http://192.168.12.109:9200 { "name" : "aCA2ApK", "cluster_name" : "elasticsearch", "cluster_uuid" : "Ea4_9kXZSaeDL1fYt4lUUQ", "version" : { "number" : "5.4.0", "build_hash" : "780f8c4", "build_date" : "2017-04-28T17:43:27.229Z", "build_snapshot" : false, "lucene_version" : "6.5.0" }, "tagline" : "You Know, for Search" } 2、kibana安装与配置 [elk@localhost kibana-5.4.0-linux-x86_64]$ vi config/kibana.yml ## Kibana is served by a back end server. This setting specifies the port to use. server.port: 5601 # Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values. # The default is 'localhost', which usually means remote machines will not be able to connect. # To allow connections from remote users, set this parameter to a non-loopback address. server.host: "192.168.12.109" .......... # The URL of the Elasticsearch instance to use for all your queries. elasticsearch.url: "http://192.168.12.109:9200" .......... [elk@localhost kibana-5.4.0-linux-x86_64]$ nohup bin/kibana & 在浏览器访问 能访问即可
3、kafka安装与配置
这里我们只做单机192.168.12.105部署单节点《centos kafka单包单机部署》
4、logstah安装与配置
[elk@localhost logstash-5.4.0]$ vi nginx.conf 这里新生成一个配置文件 input { kafka { codec => "json" topics_pattern => "logstash-.*" bootstrap_servers => "192.168.12.105:9092" auto_offset_reset => "latest" group_id => "logstash-g1" } } filter { if "nginx-accesslog" in [tags] { grok { match => { "message" => "%{IPORHOST:http_host} %{IPORHOST:clientip} - %{USERNAME:remote_user} \[%{HTTPDATE:timestamp}\] \"(?:%{WORD:http_verb} %{NOTSPACE:http_request}(?: HTTP/%{NUMBER:http_version})?|%{DATA:raw_http_request})\" %{NUMBER:response} (?:%{NUMBER:bytes_read}|-) %{QS:referrer} %{QS:agent} %{QS:xforwardedfor} %{NUMBER:request_time:float} %{GREEDYDATA:traceID}"} } mutate { convert => ["status","integer"] convert => ["body_bytes_sent","integer"] convert => ["request_time","float"] } geoip { source=>"remote_addr" } date { match => [ "timestamp","dd/MMM/YYYY:HH:mm:ss Z"] } useragent { source=>"http_user_agent" } } if "tomcat-accesslog" in [tags] { grok { match => { "message" => "%{IPORHOST:clientip} \[%{HTTPDATE:timestamp}\] \"(?:%{WORD:http_verb} %{NOTSPACE:http_request}(?: HTTP/%{NUMBER:http_version})?|%{DATA:raw_http_request})\" %{NUMBER:response} (?:%{NUMBER:bytes_read}|-) %{QS:referrer} %{NUMBER:request_time:float} %{GREEDYDATA:traceID}"} } date { match => [ "timestamp","dd/MMM/YYYY:HH:mm:ss Z"] } } } output { elasticsearch { hosts => ["192.168.12.109:9200"] index => "logstash-%{type}-%{+YYYY.MM.dd}" document_type => "%{type}" } #stdout { codec => rubydebug } } 保存,并启动 [elk@localhost logstash-5.4.0]$ nohup bin/logstash -f nginx.conf &5、filebeat安装与配置
将filebeat分别拷贝到需要采集的服务器,进行解压,在这里我们分别采集Nginx,tomcat日志
Nginx服务器
[user@localhost filebeat-5.4.0-linux-x86_64]$ vi filebeat.yml filebeat.prospectors: - input_type: log paths: - /data/programs/nginx/logs/access.log tags: ["nginx-accesslog"] document_type: nginxaccess tags: ["nginx-test-194"] output.kafka: enabled: true hosts: ["192.168.12.105:9092"] topic: logstash-%{[type]} [user@localhost filebeat-5.4.0-linux-x86_64]$nohup filebeat -c filebeat.yml &tomcat服务器
[user@localhost filebeat-5.4.0-linux-x86_64]$ vi filebeat.yml filebeat.yml filebeat.prospectors: - input_type: log paths: - /data/tomcat/logs/localhost_access_log* tags: ["tomcat-accesslog"] document_type: tomcataccess tags: ["tomcat103"] output.kafka: enabled: true hosts: ["192.168.12.105:9092"] topic: logstash-%{[type]} [user@localhost filebeat-5.4.0-linux-x86_64]$nohup filebeat -c filebeat.yml &
完成以上,我们的平台就搭建好了,接下来我们创建索引
输入:logstash-nginxaccess*
输入logstash-tomcataccess*
数据通过filebeat到kafka、ELK成功展示出来
来张炫图
相关文章推荐
- filebeat+kafka+ELK5.4安装与部署
- elk的安装部署三(kibana的安装及使用filebeat收集日志)
- Elasticsearch & plugins(ELK+kafka+filebeat) 安装教程
- ELK+Filebeat+Kafka+ZooKeeper 构建海量日志分析平台(elk5.2+filebeat2.11)
- ELK-filebeat+kafka日志收集
- ELK实时日志分析平台(elk+kafka+metricbeat)-kibana部署(六)
- Filebeat-1.3.1安装和设置(图文详解)(多节点的ELK集群安装在一个节点就好)(以Console Output为例)
- ELK 架构之 Logstash 和 Filebeat 安装配置
- ELK之Filebeat安装与配置及使用
- ELK+filebeat集群搭建全过程总结(一) 软件安装
- ELK+filebeat日志分析系统部署文档
- ELK+Filebeat 安装配置入门
- CentOS6.9安装Filebeat监控Nginx的访问日志发送到Kafka
- ELK 架构之 Elasticsearch、Kibana、Logstash 和 Filebeat 安装配置汇总(6.2.4 版本)
- ELK-filebeat收集日志到Kafka,并转存ES
- ELK+Filebeat+Kafka+ZooKeeper 构建海量日志分析平台
- ELK+Filebeat+Kafka+ZooKeeper 构建海量日志分析平台
- ELK+FILEBEAT+KAFKA+ZOOKEEPER日志管理分析平台
- ELK实时日志分析平台(elk+kafka+metricbeat)-elasticsearch部署(五)