docker-compose 部署 EFK

信息：

• Docker版本（$ docker --version）：Docker版本18.06.1-ce，版本e68fc7a
• 系统信息（$ cat /etc/centos-release）：CentOS Linux release 7.5.1804 (Core)

第一步：配置镜像加速

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://registry.docker-cn.com/"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker
阿里镜像加速地址

第二步：系统调优（必须）

.修改/etc/sysctl.conf，追加内容
$ vm.max_map_count=
$ fs.file-max=
$ sysctl -p

第三步： 部署EFK

$ mkdir my_efk
$ cd my_efk
$ mkdir conf
$ cd conf

vim fluent.conf

# my_efk/conf/fluent.conf
<source>
  @type forward
  port 24224
  bind 0.0.0.0
</source>
<match *.**>
  @type copy
  <store>
    @type elasticsearch
    host elasticsearch
    port 9200
    logstash_format true
    logstash_prefix fluentd
    logstash_dateformat %Y%m%d
    include_tag_key true
    type_name access_log
    tag_key @log_name
    flush_interval 1s
  </store>
  <store>
    @type stdout
  </store>
</match>

vim Dockerfile

 # my_efk/Dockerfile

 FROM fluent/fluentd

 RUN ["gem", "install", "fluent-plugin-elasticsearch", "--no-rdoc", "--no-ri", "--version", "1.9.7"]

vim docker-compose.yml 
# my_efk/docker-compose.yaml

version: '3.1'

services:

  fluentd:
    container_name: 'fluentd'
    build: .
    ports:
        - :
        - :/udp
    networks:
      - net_db
    volumes:
      - ./conf:/fluentd/etc
      - ./log:/fluentd/log

  elasticsearch:
    container_name: 'elasticsearch'
    image: docker.elastic.co/elasticsearch/elasticsearch:6.2.
    environment:
      - discovery.type=single-node
    volumes:
      - ./esdata:/usr/share/elasticsearch/data
    ports:
        - :
        - :
    networks:
      - net_db

  kibana:
    container_name: 'kibana'
    image: docker.elastic.co/kibana/kibana:6.2.
    ports:
      - :
    networks:
      - net_db

networks:
  net_db:
    external: true

docker network create net_db
docker-compose up -d