日志系统搭建

1.定义docker-compose

version: '3'
services:
  elasticsearch:
    image: elasticsearch:7.6.2
    container_name: elasticsearch
    privileged: true
    user: root
    environment:
      #设置集群名称为elasticsearch
      - cluster.name=elasticsearch
      #以单一节点模式启动
      - discovery.type=single-node
      #设置使用jvm内存大小
      - ES_JAVA_OPTS=-Xms512m -Xmx512m
#    volumes:
#      - /opt/docker_elk/elasticsearch/plugins:/usr/share/elasticsearch/plugins
#      - /opt/docker_elk/elasticsearch/data:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
      - 9300:9300

  logstash:
    image: logstash:7.6.2
    container_name: logstash
    ports:
      - 4560:4560
    privileged: true
    environment:
      - TZ=Asia/Shanghai
    volumes:
      #挂载logstash的配置文件
      - ./logstash.conf:/usr/share/logstash/pipeline/logstash.conf
      - ./log.log:/log.log
    depends_on:
      - elasticsearch
    links:
      #可以用es这个域名访问elasticsearch服务
      - elasticsearch:es

  kibana:
    image: kibana:7.6.2
    container_name: kibana
    ports:
      - 5601:5601
    privileged: true
    links:
      #可以用es这个域名访问elasticsearch服务
      - elasticsearch:es
    depends_on:
      - elasticsearch
    environment:
      #设置访问elasticsearch的地址
      - elasticsearch.hosts=http://es:9200

2.定义logstash.conf文件

input {
    file{
            path=>"/log.log"
            type=>"systemlog"
            start_position=>"beginning"
            stat_interval=>"5"
    }
}
output {
  elasticsearch {
    hosts => "es:9200"
    index => "logstash-%{+YYYY.MM.dd}"
  }
}

file.path：收集的文件日志内容

file.type：参数制订了file模块结果的类型

file.start_position：参数指定了开始的位置

file.stat_interval：参数指定了收集的间隔

output.es：写入到ES的地址和索引名称

2.执行docker-compose up -d 构建镜像
3.修改kibana中文

增加：i18n.locale: "zh-CN"
位置：/config/kibana.yml