使用Docker1.13.1快速部署ELK环境
使用Docker快速部署ELK环境（最新5.5.1版本）
docker pull docker.elastic.co/elasticsearch/elasticsearch:5.5.1 docker pull docker.elastic.co/kibana/kibana:5.5.1 docker pull docker.elastic.co/logstash/logstash:5.5.1123
启动Elastic Search容器:
docker run -p 9200:9200 -e "http.host=0.0.0.0" -e "transport.host=127.0.0.1" \--name my-elastic -d docker.elastic.co/elasticsearch/elasticsearch:5.5.112
启动Kibana容器：
docker run -p 5601:5601 -e "ELASTICSEARCH_URL=http://localhost:9200" --name my-kibana \--network host -d docker.elastic.co/kibana/kibana:5.5.112
创建logstash/logstash.yml，配置xpack对于logstash的监控：
http.host: "0.0.0.0"path.config: /usr/share/logstash/pipelinexpack.monitoring.elasticsearch.url: http://localhost:9200xpack.monitoring.elasticsearch.username: elasticxpack.monitoring.elasticsearch.password: changeme12345
创建logstash/conf.d/logstash.conf，配置logstash的输入输出：
input {
file {
path => "/tmp/access_log"
start_position => "beginning"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
user => "elastic"
password => "changeme"
}
}12345678910111213启动Logstash容器：
docker run -v /home/ubuntu/logstash/conf.d:/usr/share/logstash/pipeline/:ro -v /tmp:/tmp:ro \ -v /home/ubuntu/logstash/logstash.yml:/usr/share/logstash/config/logstash.yml:ro --name my-logstash \ --network host -d docker.elastic.co/logstash/logstash:5.5.1123
测试一下，在/tmp/access.log中添加两行信息：
echo "Hello World!" >> /tmp/access_logecho "Hello ELK!" >> /tmp/access_log12
打开kibana的链接http://yourhost:5601，使用用户名/密码: elastic/changeme登录。在”Configure an index pattern”页面点击Create按钮。点击菜单Monitor即可查看ELK节点的状态
在Kibana点击Discover菜单，可以看到相关的日志信息：
使用Elastic Search集群部署
Elastic官方提供了用docker-compose启动Elastic Search集群的方法，首先安装docker-compose
curl -L https://github.com/docker/compose/releases/download/1.15.0/docker-compose-Linux-x86_64 \> /usr/local/bin/docker-composesudo chmod +x /usr/local/bin/docker-composedocker-compose --version1234
创建一个elasticsearch/docker-compose.yml文件：
version: '2' services: elasticsearch2: image: docker.elastic.co/elasticsearch/elasticsearch:5.5.1 container_name: elasticsearch2 environment: - cluster.name=docker-cluster - bootstrap.memory_lock=true - "ES_JAVA_OPTS=-Xms512m -Xmx512m" ulimits: memlock: soft: -1 hard: -1 mem_limit: 1g volumes: - esdata1:/usr/share/elasticsearch/data ports: - 9200:9200 networks: - esnet elasticsearch3: image: docker.elastic.co/elasticsearch/elasticsearch:5.5.1 environment: - cluster.name=docker-cluster - bootstrap.memory_lock=true - "ES_JAVA_OPTS=-Xms512m -Xmx512m" - "discovery.zen.ping.unicast.hosts=elasticsearch2" ulimits: memlock: soft: -1 hard: -1 mem_limit: 1g volumes: - esdata2:/usr/share/elasticsearch/data networks: - esnetvolumes: esdata1: driver: local esdata2: driver: local networks: esnet:123456789101112131415161718192021222324252627282930313233343536373839404142434445
在/etc/sysctl.conf文件中追加一行
vm.max_map_count = 2621441
执行命令应用变更：
sudo sysctl -p1
在docker-compose.yml所在的目录执行以下命令，启动elastic search集群：
docker stop my-elastic && docker rm my-elasticdocker-compose up &12
在Kibana中Monitor菜单中可以看到，Elastic Search集群已经正常工作：
修改默认密码
Elastic Docker Images的默认账号密码是elastic/changeme，使用默认密码是不安全的，假设要把密码改为elastic0。在Docker所在服务器上执行命令，修改用户elastic的密码：
curl -XPUT -u elastic 'localhost:9200/_xpack/security/user/elastic/_password' -H "Content-Type: application/json" \-d '{
"password" : "elastic0"
}'1234设置密码，重启Kibana：
docker stop my-kibana && docker rm my-kibanadocker run -p 5601:5601 -e "ELASTICSEARCH_URL=http://localhost:9200" -e "ELASTICSEARCH_PASSWORD=elastic0" \--name my-kibana --network host -d docker.elastic.co/kibana/kibana:5.5.1123
修改logstash/logstash.yml，logstash/conf.d/logstash.conf中的密码，然后重启logstash服务
docker restart my-logstash2
测试一下，在/tmp/access.log中添加两行信息：
echo "Hello World!" >> /tmp/access_logecho "Hello ELK!" >> /tmp/access_log12
打开kibana的链接http://yourhost:5601，使用用户名/密码: elastic/elastic0登录。在”Configure an index pattern”页面点击Create按钮。点击菜单Monitor即可查看ELK节点的状态，默认密码已经修改成功。