基于docker的ELK镜像构建

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title: 基于docker搭建ELK镜像构建

本文主要记录下以前搭建ELK的docker镜像过程，记录下docker基础使用，如何基于centos的基础镜像构建应用。

基础镜像 elkbase:v1.0

• 准备jdk 放在tools文件夹下

• 准备Dockerfile

    FROM centos:latest
    MAINTAINER Yampery<[email protected]>
    VOLUME [ "/opt/product/data/" ]
    RUN  /bin/cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
    RUN /bin/echo -e "ZONE="Asia/Shanghai"\nUTC=false\nRTC=false" > /etc/sysconfig/clock
    RUN mkdir /opt/product/tools/
    ADD ./tools /opt/product/tools/
    ENV JAVA_HOME /opt/product/tools/jdk-9.0.1
    CMD ["/usr/sbin/init"]
  

• 构建文件结构

    |-elk
    	|-tools
    		|-jdk-9.0.1
    	|--Dockerfile
  

• 构建镜像

    elk/elkbase$ docker build -t elkbase:v1.0 . 
  

elasticsearch:v1.0

• 准备elasticsearch

    https://www.elastic.co/downloads/elasticsearch
  

• 准备Dockerfile

    FROM elkbase:v1.0
    MAINTAINER Yampery<[email protected]>
    VOLUME [ "/opt/product/data/" ]
    ADD ./tools /opt/product/
    RUN useradd elk && chown -R elk:elk /opt/product/elasticsearch-6.0.0
    ADD build.sh /root/
    RUN chmod +x /root/build.sh
    EXPOSE 9200
    EXPOSE 9300
    ENTRYPOINT ["/root/build.sh"]
    CMD ["/usr/sbin/init"]
  

• 准备脚本build.sh

    #!/bin/bash
    echo "* soft nofile 65536" > /etc/security/limits.conf 
    echo "* hard nofile 131072" > /etc/security/limits.conf
    echo "* soft nproc 2048" > /etc/security/limits.conf
    echo "* hard nproc 4096" > /etc/security/limits.conf
    echo "vm.max_map_count=655360" > /etc/sysctl.conf 
    sysctl -p
    cd /opt/product/elasticsearch-6.0.0/config/
    rm -rf elasticsearch.yml
    cp /opt/product/data/elk/elasticsearch.yml .
    chown -R elk:elk /opt/product/elasticsearch-6.0.0
    chown -R elk:elk /opt/product/data/elk/elasticsearchdata
    su - elk <<!
    export JAVA_HOME=/opt/product/tools/jdk-9.0.1
    export PATH=$JAVA_HOME/bin:$PATH 
    /opt/product/elasticsearch-6.0.0/bin/elasticsearch
  

• 构建目录结构

    |-elk
    	|-elasticsearch
    		|-tools
    		|--Dockerfile
    		|--build.sh
  

• 构建镜像

    elk/elasticsearch$ docker build -f elasticsearch:v1.0 .
  

• 配置

    在/opt/product/data目录下建立elk目录，并拷贝elasticsearch.yml文件到该目录
    path.data: /opt/product/data/elk/elasticsearchdata
    network.host: 0.0.0.0
    在/opt/product/data/elk目录 创建 elasticsearchdata 目录
  

• 运行容器

    docker run --name elasticsearch --privileged --restart=always -d -ti -v /opt/product/data:/opt/product/data -p 9200:9200 -p 9300:9300 elasticsearch:v1.0 /bin/bash
  

  -> 访问：ip:9200/

logstash

---

• 准备logstash

    https://www.elastic.co/downloads/logstash	
  

• 准备Dockerfile

    FROM elkbase:v1.0
    MAINTAINER Yampery<[email protected]>
    VOLUME [ "/opt/product/data/" ]
    ADD ./tools /opt/product/
    ADD build.sh /root/
    RUN chmod +x /root/build.sh
    EXPOSE 5044
    EXPOSE 4560
    EXPOSE 8080
    ENTRYPOINT ["/root/build.sh"]
    CMD ["/usr/sbin/init"]
  

• 准备脚本 build.sh

    #!/bin/bash
    export JAVA_HOME=/opt/product/tools/jdk-9.0.1
    export PATH=$JAVA_HOME/bin:$PATH
    JAVA_OPTS="$JAVA_OPTS -Dfile.encoding=UTF8  -Duser.timezone=GMT+08"
    cd /opt/product/logstash-6.0.0/config/
    rm -rf logstash.yml
    cp /opt/product/data/elk/logstash.yml logstash.yml
    /opt/product/logstash-6.0.0/bin/logstash -f /opt/product/data/elk/logstash.conf
  

• 目录结构

    |-elk
    	|-logstash
    		|-tools
    		|--Dockerfile
    		|--build.sh
  

• 构建镜像

    elk/logstash$ docker build -f logstash:v1.0 .
  

• 配置logstash

    // 在/opt/product/data/elk目录下创建logstash.conf
    input {     
       beats {
    	port => "5044"
       }
    }
    output {
       elasticsearch {
    	   hosts => ["elasticsearch的ip:9200"]
    	   index => "logstash-tomcat-accesslog-%{+YYYY.MM.dd}"
    	}       
    }
    // 将logstash本身的logstash.yml 拷贝到/opt/product/data/elk目录下
    // 在/opt/product/data/elk目录下建立 logstashdata目录
  

• 启动

    docker run --name logstash --restart=always -d -ti -v /opt/product/data:/opt/product/data -p 5044:5044 -p 4560:4560 -p 9090:9090 logstash:v1.0 /bin/bash
  

kibana

---

• 准备kibana

    https://artifacts.elastic.co/downloads/kibana/kibana-6.0.0-linux-x86_64.tar.gz
  

• 准备Dockerfile

    FROM elkbase:v1.0
    MAINTAINER Yampery<[email protected]>
    VOLUME [ "/opt/product/data/" ]
    ADD ./tools /opt/product/
    ADD build.sh /root/
    RUN chmod +x /root/build.sh
    EXPOSE 5601
    ENTRYPOINT ["/root/build.sh"]
    CMD ["/usr/sbin/init"]
  

• 准备脚本 build.sh

    #!/bin/bash 
    export JAVA_HOME=/opt/product/tools/jdk-9.0.1
    export PATH=$JAVA_HOME/bin:$PATH
    cd /opt/product/kibana-6.0.0/config/
    rm -rf kibana.yml
    ln -s /opt/product/data/elk/kibana.yml . 
    cd /opt/product/kibana-6.0.0/
    rm -rf data
    ln -s  /opt/product/data/elk/kibanadata /opt/product/kibana-6.0.0/data
    /opt/product/kibana-6.0.0/bin/kibana
  

• 构建镜像

    elk/kibana$ docker build -t kibana:v1.0 .
  

• 配置kibana

    // 复制kibana.yml到/opt/product/data/elk 下
    server.port: 5601
    server.host: "0.0.0.0"
    elasticsearch.url: "http://ip:9200"
  

• 启动

    docker run --name kibana -d -ti -v /opt/product/data:/opt/product/data -p 5601:5601  kibana:v1.0 /bin/bash
  

• 访问

    ip:5601/
  

FileBeat

---

• 准备FileBeat

    https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-6.0.0-linux-x86_64.tar.gz
  

• 准备Dockerfile

    FROM elkbase:v1.0
    MAINTAINER Yampery<[email protected]>
    VOLUME [ "/opt/product/data/" ]
    ADD ./tools /opt/product/
    ADD build.sh /root/
    RUN chmod +x /root/build.sh
    ENTRYPOINT ["/root/build.sh"]
    CMD ["/usr/sbin/init"]
  

• 准备脚本 build.sh

    #!/bin/bash
    export JAVA_HOME=/opt/product/tools/jdk-9.0.1
    export PATH=$JAVA_HOME/bin:$PATH
    cd /opt/product/filebeat-6.0.0/
    rm -rf filebeat.yml
    ln -s /opt/product/data/elk/filebeat.yml . 
    rm -rf data 
    ln -s /opt/product/data/elk/filebeatdata /opt/product/filebeat-6.0.0/data
    /opt/product/filebeat-6.0.0/filebeat -e -c filebeat.yml
  

• 构建镜像

    elk/filebeat$ docker build -t filebeat:v1.0 .
  

• 配置filebeat

    // 在/opt/product/data/elk目录下 创建filebeat.yml
    filebeat.prospectors:
      - input_type: log
    	document_type: tomcataccess
      paths:
    	 - /opt/product/data/logs/tomcat/localhost_access_log*.txt
    	 - /opt/product/data/epg2logs/tomcat/localhost_access_log*.txt
    output.logstash:
      // The Logstash hosts
      hosts: ["ip:5044"]
     
     // 在/opt/product/data/elk 目录下创建filebeatdata
  

• 启动

    docker run --name filebeat -d -ti -v /opt/product/data:/opt/product/data filebeat:v1.0 /bin/bash
  

x-pack

• 安装

    ./elasticsearch-plugin install x-pack
  

• 设置密码

https://www.elastic.co/guide/en/x-pack/current/setting-up-authentication.html#set-built-in-user-passwords

./setup-passwords interactive
	Enter password for [elastic]:
	Reenter password for [elastic]:
	Enter password for [kibana]:
	Reenter password for [kibana]:
	Enter password for [logstash_system]:
	Reenter password for [logstash_system]:
	Changed password for user [kibana]
	Changed password for user [logstash_system]
	Changed password for user [elastic]

• logstash配置

    input { stdin { } }
    output {
      elasticsearch {
        hosts => ["192.168.107.23:9200"]
        user => elastic
        password => elastic
      }
      stdout { codec => rubydebug }
    }
  

同理，kibana也可以配置，调用es接口也需要用户密码

说明

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脚本和启动项参数中的/opt/product/data均以自己要设定的挂载目录一致