• docker-compose部署ELK(亲测)


    具体的配置可以参考上面一篇:docker部署ELK

    以下是做了一些修改的地方:

    kibana.yml

    [root@topcheer config]# cat kibana.yml
    server.host: "0.0.0.0"
    elasticsearch.url: http://elasticsearch01:9200
    xpack:
      apm.ui.enabled: false
      graph.enabled: false
      ml.enabled: false
      monitoring.enabled: false
      reporting.enabled: false
      security.enabled: false
      grokdebugger.enabled: false
      searchprofiler.enabled: false
    [root@topcheer config]#

    logstash的conf

    [root@topcheer pipeline]# cat logstash-test.conf
    input {
        file {
            path => ["/usr/share/logstash/pipeline/logs/test.log"]
            start_position => "beginning"
        }
    }
    output {
       elasticsearch { hosts => ["elasticsearch01:9200"] }
    }
    [root@topcheer pipeline]#

    别的配置都没有变,然后新增docker-compose.yml

    [root@topcheer config]# cat docker-compose.yml
    version: '2'
    services:
      elasticsearch01: #服务名称(不是容器名,名称最好不要含有特殊字符,碰到过用下划线时运行出错)
        image: docker.elastic.co/elasticsearch/elasticsearch:6.4.3
        container_name: elasticsearch01 #容器名称 
        volumes: #挂载文件
          - ./elasticsearch/logs/:/usr/share/logs/
          - /elk/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml:ro
        ports:
          - "9200:9200" #暴露的端口信息和docker run -d -p 80:80一样
          - "9300:9300"
        environment: #设置镜像变量,它可以保存变量到镜像里面
          ES_JAVA_OPTS: "-Xmx512m -Xms512m"
        networks: #加入指定网络
          - elk
      logstash_test:
        image: docker.elastic.co/logstash/logstash:6.4.3
        container_name: logstash01
        volumes:
          - /elk/config/logstash/config/:/usr/share/logstash/config/:ro
          - /elk/config/logstash/pipeline/:/usr/share/logstash/pipeline/
        ports:
          - "5044:5044"
          - "9600:9600"
        environment:
          LS_JAVA_OPTS: "-Xmx512m -Xms512m"
        networks:
          - elk
        depends_on: #标签解决了容器的依赖、启动先后的问题
          - elasticsearch01
      kibana_test:
        image: docker.elastic.co/kibana/kibana:6.4.3
        container_name: kibana01
        volumes:
          - /elk/config/kibana.yml:/usr/share/kibana/config/kibana.yml
        ports:
          - "5601:5601"
        networks:
          - elk
        depends_on:
          - elasticsearch01
    networks:
      elk:
        driver: bridge
    
    [root@topcheer config]#

    然后执行docker-compose up -d

    [root@topcheer config]# docker-compose ps
         Name                    Command               State                       Ports
    ---------------------------------------------------------------------------------------------------------
    elasticsearch01   /usr/local/bin/docker-entr ...   Up      0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp
    kibana01          /usr/local/bin/kibana-docker     Up      0.0.0.0:5601->5601/tcp
    logstash01        /usr/local/bin/docker-entr ...   Up      0.0.0.0:5044->5044/tcp, 0.0.0.0:9600->9600/tcp
    [root@topcheer config]#

    发现都很快的起起来了,docker的kibana真的很慢,但是更推荐k8s去部署,后面再写。

     

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  • 原文地址:https://www.cnblogs.com/dalianpai/p/11986481.html
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