一、docker、docker-compose环境安装

     

二、构建容器

1、编写docker-compose.yml

version: '3'
services:
  elasticsearch:
    image: elasticsearch:7.17.3
    container_name: elasticsearch
    environment:
      - "cluster.name=elasticsearch" #设置集群名称为elasticsearch
      - "discovery.type=single-node" #以单一节点模式启动
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m" #设置使用jvm内存大小
    volumes:
            #- /opt/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml #插件文件挂载
      - /opt/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
      - /opt/elasticsearch/data:/usr/share/elasticsearch/data #数据文件挂载
    ports:
      - 9200:9200
      - 9300:9300
    networks:
      - elk

  kibana:
    image: kibana:7.17.3
    container_name: kibana
    links:
      - elasticsearch:es  #可以用es这个域名访问elasticsearch服务
    depends_on:
      - elasticsearch #kibana在elasticsearch启动之后再启动
    environment:
      - "elasticsearch.hosts=http://es:9200" #设置访问elasticsearch的地址
    ports:
      - 5601:5601
    networks:
      - elk

  logstash:
    image: logstash:7.17.3
    container_name: logstash
    volumes:
      - /opt/logstash/logstash.conf:/usr/share/logstash/pipeline/logstash.conf #挂载logstash的配置文件
    depends_on:
      - elasticsearch #kibana在elasticsearch启动之后再启动
    links:
      - elasticsearch:es #可以用es这个域名访问elasticsearch服务
    ports:
      - 4560:4560
    networks:
      - elk

networks:
  elk:

2、编写/opt/logstash/logstash.conf文件（与docker-compose.yml里对应，可自行更改）

input {
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
  }
}
output {
  elasticsearch {
    hosts => "es:9200"
    index => "fincourt-logs-%{type}-%{+YYYY.MM.dd}"
  }
}

三、运行docker-compose.yml

1、运行elk

chmod 777 elasticsearch/data
#安装 elk
docker-compose up -d
#完成后查看容器
docker ps

2、安装logstash插件

docker exec -it logstash /bin/bash -c  "cd /bin && logstash-plugin install logstash-codec-json_lines"
docker restart logstash

四、springboot项目接入

1、在项目中pom.xml添加logstash-logback-encoder依赖

<dependency>
    <groupId>net.logstash.logback</groupId>
    <artifactId>logstash-logback-encoder</artifactId>
    <version>4.11</version>ba
</dependency>

2、配置logback-spring.xml，并启动项目

<!--输出到logstash的appender，{ip：端口}可在nacos中配置再在此读取，具体Ip和端口根据宿主机安装的logstash决定-->
<appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
    <destination>192.168.1.149:4560</destination>
    <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder" />
</appender>
<!--系统操作日志-->
<root level="info">
<appender-ref ref="file_info" />
<appender-ref ref="file_error" />
<appender-ref ref="LOGSTASH"/> <!--输出到logstash-->

五、访问Kibana界面

http://192.168.1.149:5601

1、初始化index

docker-compse 部署elk docker elk7_docker单机 ELK

六、设置ELK账号密码访问

1、elasticsearch配置

xpack.security.enabled: true
重启再进入
docker restart elasticsearch
docker exec -it elasticsearch bash
#进入安装目录，为内置账号生成密码(自建)
/opt/elasticsearch/bin/elasticsearch-setup-passwords interactive
#进入安装目录，为内置账号生成密码(自动)
#/opt/elasticsearch/bin/elasticsearch-setup-passwords auto

2、修改kibana

#停掉kibana,修改kibana的配置文件vim /opt/kibana/confif/kibana.yml，在结尾追加以下内容
kibana.index: ".kibana"
elasticsearch.username: "kibana"
elasticsearch.password: "Qs@123456"

3、修改logstash

vi /opt/logstash/logstash.conf

input {
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
  }
}
output {
  elasticsearch {
    hosts => "es:9200"
    index => "springboot-logs-%{projectName}-%{+YYYY.MM.dd}"
    user => "elastic"
    password => "Qs@123456"
  }
}