Docker搭建ELK的javaweb应用日志收集存储分析系统

1.启动elasticsearch

docker run -d --name myes -p 9200:9200 elasticsearch:2.3

2.启动kibana

docker run --name mykibana -e ELASTICSEARCH_URL=http://118.184.66.215:9200 -p 5601:5601 -d kibana:4.5

3.logstash配置文件

vim /etc/logstash/logstash.conf

input {

log4j {

mode => "server"

host => "0.0.0.0"

port => 3456

type => "log4j"

}

}

output {

elasticsearch { hosts => ["118.184.66.215"] }

}

4.启动logstash

docker run -d -v "$PWD":/etc/logstash -p 3456:3456 logstash:2.3 logstash -f /etc/logstash/logstash.conf

5.web应用log4j日志TCP输出

log4j.rootLogger = DEBUG,tcp

log4j.appender.tcp=org.apache.log4j.net.SocketAppender

log4j.appender.tcp.Port=3456

log4j.appender.tcp.RemoteHost=118.184.66.215

log4j.appender.tcp.ReconnectionDelay=10000

log4j.appender.tcp.Application=job

原文地址：https://www.cnblogs.com/taohaijun/p/8302767.html