1.安装ELK整体环境

1.1.安装docker环境

Docker 最新版Version 20.10安装_docker最新版本是多少_猿小飞的博客-CSDN博客

1.2.先安装docker compose

安装docker compose_猿小飞的博客-CSDN博客

1.3.使用 Docker Compose 搭建 ELK 环境

1.3.1.编写 docker-compose.yml 脚本启动 ELK 服务

忘记了文件在哪里，可以使用下面命令进行查找

find / -name docker-compose.yml

version: '3'
services:
  elasticsearch:
    image: elasticsearch:6.4.0
    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:
      - /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
      - /mydata/elasticsearch/data:/usr/share/elasticsearch/data #数据文件挂载
    ports:
      - 9200:9200
  kibana:
    image: kibana:6.4.0
    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
  logstash:
    image: logstash:6.4.0
    container_name: logstash
    volumes:
      - /mydata/logstash/upms-logstash.conf:/usr/share/logstash/pipeline/logstash.conf
    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:
      - 4560-4600:4560-4600

1.3.2.创建对应容器挂载目录

mkdir -p /mydata/logstash

mkdir -p /mydata/elasticsearch/data

mkdir -p /mydata/elasticsearch/plugins

chmod 777 /mydata/elasticsearch/data  # 给777权限，不然启动elasticsearch 可能会有权限问题

1.4.编写日志采集 logstash

针对微服务，我们不同的服务，会专门设置一个单独的端口进行接收。

在 /mydata/logstash目录创建 upms-logstash.conf

input {
  tcp {
    add_field => {"service" => "upms"}
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
  }
  tcp {
   add_field => {"service" => "auth"}
    mode => "server"
    host => "0.0.0.0"
    port => 4561
    codec => json_lines
  }
  tcp {
   add_field => {"service" => "gateway"}
    mode => "server"
    host => "0.0.0.0"
    port => 4562
    codec => json_lines
  }
 tcp {
   add_field => {"service" => "register"}
    mode => "server"
    host => "0.0.0.0"
    port => 4563
    codec => json_lines
  }
}
output {
  if [service] == "upms"{
    elasticsearch {
      hosts => "192.168.2.115:9200"
      index => "upms-logstash-%{+YYYY.MM.dd}"
    }
  }
  if [service] == "auth"{
    elasticsearch {
      hosts => "192.168.2.115:9200"
      index => "auth-logstash-%{+YYYY.MM.dd}"
    }
   }
  if [service] == "gateway"{
    elasticsearch {
      hosts => "192.168.2.115:9200"
      index => "gateway-logstash-%{+YYYY.MM.dd}"
    }
   }
  if [service] == "register"{
    elasticsearch {
      hosts => "192.168.2.115:9200"
      index => "register-logstash-%{+YYYY.MM.dd}"
    }
   }
}

2.启动 ELK 服务

在docker-compose.yml 同级目录执行 docker-compose up -d

docker-compose up -d

注意：Elasticsearch 启动可能需要好几分钟，要耐心等待。

3.logstash 安装 json_lines 格式插件

# 进入logstash容器
docker exec -it logstash /bin/bash
# 进入bin目录
cd /bin/
# 安装插件
logstash-plugin install logstash-codec-json_lines
# 退出容器
exit
# 重启logstash服务
docker restart logstash

访问宿主机 5601 kibana

4.微服务中整合整合 Logstash

添加 pom 依赖

<!--集成logstash-->
<dependency>
    <groupId>net.logstash.logback</groupId>
    <artifactId>logstash-logback-encoder</artifactId>
    <version>5.3</version>
</dependency>

logback-spring.xml 新增 appender

 <!--输出到logstash的appender-->
<appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
    <!--可以访问的logstash日志收集端口-->
    <destination>192.168.0.31:4560</destination>
    <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder"/>
</appender>
<root level="INFO">
    <appender-ref ref="LOGSTASH"/>
</root>

特别注意：<destination>192.168.0.31:4560</destination> 这里要改为自己的。