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工作原理如下如所示:
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部署流程:
1、安装logstash的JDK环境:
# tar zvxf jdk-8u73-linux-x64.tar.gz # mv jdk-8u73-linux-x64 /usr/local/java # vim /etc/profile export JAVA_HOME=/usr/local/java CLASSPATH=/usr/local/java/lib/dt.jar/usr/local/java/lib/tools.jar PATH=/usr/local/java/bin:$PATH export PATH JAVA_HOME CLASSPATH # source /etc/profile # java -version java version "1.8.0_73" Java(TM) SE Runtime Environment (build 1.8.0_73-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.73-b02, mixed mode)
出来java的版本号,JDK安装成功;
2、安装 logstash
下载并安装 Logstash ,本次安装 logstash 到/usr/local (安装路径自己定义);
# wget # tar zvxf logstash-1.5.2.tar.gz -C /usr/local/
安装完成后执行命令:
# /usr/local/logstash-1.5.2/bin/logstash -e 'input { stdin { } } output { stdout {} }' Logstash startup completed hello ELK 2016-09-29T09:28:57.992Z web10.gz.com hello ELK
-e :指定logstash的配置信息,可以用于快速测试;
-f :指定logstash的配置文件;可以用于生产环境;
在 logstash 安装目录下创建一个测试文件 logstash-test.conf, 文件内容如下:
# vim logstash-simple.conf input { stdin { } } output { stdout { codec=> rubydebug } }
# echo "`date` hello ELK" Thu Sep 29 17:33:23 CST 2016 hello ELK # /usr/local/logstash-1.5.2/bin/logstash agent -f logstash-simple.conf Logstash startup completed Thu Sep 29 17:33:23 CST 2016 hello ELK { "message" => "Thu Sep 29 17:33:23 CST 2016 hello ELK", "@version" => "1", "@timestamp" => "2016-09-29T09:33:57.711Z", "host" => "web10.gz.com" } 安装supervisor,管理logstash: #yum install -y install supervisor --enablerepo=epel #vim /etc/supervisord.conf 添加内容 [program:elkpro_1] environment=LS_HEAP_SIZE=5000m directory=/usr/local/logstash-1.5.2 #logstash安装目录 command=/usr/local/logstash-1.5.2/bin/logstash -f /usr/local/logstash-1.5.2/logstash-simple.conf -w 10 -l /var/log/logstash/logstash-simple.log #logstash执行的命令 pro1.conf #logstash指定运行的配置文件 /var/log/logstash/pro1.log #指定logstash日志存放位置; 开启关闭supervisord #service supervisord stop #service supervisord start 开机启动 #chkconfig supervisord on 开启关闭logstash #supervisorctl start elkpro_1 #supervisorctl stop elkpro_1
3、安装 Elasticsearch
下载 Elasticsearch 后,解压到/usr/local/;
# wget # tar zvxf elasticsearch-1.6.0.tar.gz -C /usr/local/
启动 Elasticsearch
# /usr/local/elasticsearch-1.6.0/bin/elasticsearch
后台运行 elasticsearch:
# nohup /usr/local/elasticsearch-1.6.0/bin/elasticsearch >nohup &
# ps aux|grep logstash root 21154 1.6 5.0 3451732 196856 pts/0 Sl+ 17:33 0:10 /usr/local/java/bin/java -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -Djava.awt.headless=true -XX:CMSInitiatingOccupancyFraction=75 -XX:+UseCMSInitiatingOccupancyOnly -Xmx500m -Xss2048k -Djffi.boot.library.path=/usr/local/logstash-1.5.2/vendor/jruby/lib/jni -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -Djava.awt.headless=true -XX:CMSInitiatingOccupancyFraction=75 -XX:+UseCMSInitiatingOccupancyOnly -Xbootclasspath/a:/usr/local/logstash-1.5.2/vendor/jruby/lib/jruby.jar -classpath :/usr/local/java/lib/dt.jar/usr/local/java/lib/tools.jar -Djruby.home=/usr/local/logstash-1.5.2/vendor/jruby -Djruby.lib=/usr/local/logstash-1.5.2/vendor/jruby/lib -Djruby.script=jruby -Djruby.shell=/bin/sh org.jruby.Main --1.9 /usr/local/logstash-1.5.2/lib/bootstrap/environment.rb logstash/runner.rb agent -f logstash-simple.conf
elasticsearch官方给的启动脚本: https://codeload.github.com/elastic/elasticsearch-servicewrapper/zip/master 上传到服务器上 #unzip elasticsearch-servicewrapper-master.zip #mv elasticsearch-servicewrapper-master/service/ /usr/local/elasticsearch/bin/ #cd /usr/local/elasticsearch/bin/service #./elasticsearch install (在init.d下自动创建服务脚本) #/etc/init.d/elasticsearch restart #curl -XGET 'http://elasticsearch_IP:9200/_count?pretty' -d ' #IP为 elasticsearch安装的服务器IP > { > "query":{ > "match_all":{} > } > } > ' 返回值: { "count" : 710, "_shards" : { "total" : 6, "successful" : 6, "failed" : 0 }
在logstash安装目录下,创建测试文件logstash-es-simple.conf,查看结果显示是否输出到elastisearch中。
# vim logstash-es-simple.conf logstash-es-simple.confinput { stdin { } } output { elasticsearch {host => "localhost" } stdout { codec=> rubydebug } } 执行: # /usr/local/logstash-1.5.2/bin/logstash agent -f logstash-es-simple.conf ...启动输出... Logstash startup completed hello ELK { "message" => "hello ELK", "@version" => "1", "@timestamp" => "2016-09-29T09:52:21.426Z", "host" => "web10.gz.com" } 使用 curl 命令发送请求来查看elastisearch 是否接收到了数据: # curl ' { "took" : 1, "timed_out" : false, "_shards" : { "total" : 6, "successful" : 6, "failed" : 0 }, .....
现在已成功可以使用 Elasticsearch 和 Logstash 来收集日志数据了。
4、安装 elasticsearch 插件
在你安装 Elasticsearch 的目录中执行以下命令;
# cd /usr/local/elasticsearch-1.6.0/ # ./bin/plugin -install lmenezes/elasticsearch-kopf 安装完成后在 plugins 目录下可以看到 kopf # ls plugins/kopf
在浏览器访问 http://192.168.1.114:9200/_plugin/kopf 浏览保存在 Elasticsearch 中的数据,如图:
5、安装 Kibana
下载 kibana 后,解压到/usr/local/下
# wget # tar zvxf kibana-4.1.1-linux-x64.tar.gz 启动 kibana
# /usr/local/kibana-4.1.1-linux-x64/bin/kibana
使用 http://kibanaServerIP:5601 访问 Kibana ,登录后,配置一个索引,默认就可以, Kibana 的数据被指向 Elasticsearch ,使用默认的 logstash-* 的索引名称,并且是基于时间的,点击“ Create ”即可。
看到如下界面说明索引创建完成。
点击“ Discover ”,可以搜索和浏览 Elasticsearch 中的数据;
到此, ELK 平台部署已完成。