在Linux服務(wù)器上安裝Docker以后，Pull相關(guān)的官方Docker鏡像：
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:5.5.1
啟動(dòng)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:5.5.1
啟動(dòng)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:5.5.1
創(chuàng)建logstash/logstash.yml，配置xpack對(duì)于logstash的監(jiān)控：
http.host: "0.0.0.0"
path.config: /usr/share/logstash/pipeline
xpack.monitoring.elasticsearch.url: http://localhost:9200
xpack.monitoring.elasticsearch.username: elastic
xpack.monitoring.elasticsearch.password: changeme
創(chuàng)建logstash/conf.d/logstash.conf，配置logstash的輸入輸出：
input {
file {
path => "/tmp/access_log"
start_position => "beginning"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
user => "elastic"
password => "changeme"
}
}
啟動(dòng)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:5.5.1
測(cè)試一下，在/tmp/access.log中添加兩行信息：
echo "Hello World!" >> /tmp/access_log
echo "Hello ELK!" >> /tmp/access_log
打開(kāi)kibana的鏈接http://yourhost:5601，使用用戶名/密碼: elastic/changeme登錄。在”Configure an index pattern”頁(yè)面點(diǎn)擊Create按鈕。點(diǎn)擊菜單Monitor即可查看ELK節(jié)點(diǎn)的狀態(tài)
在Kibana點(diǎn)擊Discover菜單，可以看到相關(guān)的日志信息：
使用Elastic Search集群部署
Elastic官方提供了用docker-compose啟動(dòng)Elastic Search集群的方法，首先安裝docker-compose
curl -L https://github.com/docker/compose/releases/download/1.15.0/docker-compose-Linux-x86_64 \
> /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
docker-compose --version
創(chuàng)建一個(gè)elasticsearch/docker-compose.yml文件：
version: '2'
services:
elasticsearch1:
image: docker.elastic.co/elasticsearch/elasticsearch:5.5.1
container_name: elasticsearch1
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
elasticsearch2:
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=elasticsearch1"
ulimits:
memlock:
soft: -1
hard: -1
mem_limit: 1g
volumes:
- esdata2:/usr/share/elasticsearch/data
networks:
- esnet
volumes:
esdata1:
driver: local
esdata2:
driver: local
networks:
esnet:
在/etc/sysctl.conf文件中追加一行
vm.max_map_count = 262144
執(zhí)行命令應(yīng)用變更：
在docker-compose.yml所在的目錄執(zhí)行以下命令，啟動(dòng)elastic search集群：
docker stop my-elastic && docker rm my-elastic
docker-compose up &
在Kibana中Monitor菜單中可以看到，Elastic Search集群已經(jīng)正常工作：
修改默認(rèn)密碼
Elastic Docker Images的默認(rèn)賬號(hào)密碼是elastic/changeme，使用默認(rèn)密碼是不安全的，假設(shè)要把密碼改為elastic0。在Docker所在服務(wù)器上執(zhí)行命令，修改用戶elastic的密碼：
curl -XPUT -u elastic 'localhost:9200/_xpack/security/user/elastic/_password' -H "Content-Type: application/json" \
-d '{
"password" : "elastic0"
}'
設(shè)置密碼，重啟Kibana：
docker stop my-kibana && docker rm my-kibana
docker 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:5.5.1
修改logstash/logstash.yml，logstash/conf.d/logstash.conf中的密碼，然后重啟logstash服務(wù)
docker restart my-logstash
測(cè)試一下，在/tmp/access.log中添加兩行信息：
echo "Hello World!" >> /tmp/access_log
echo "Hello ELK!" >> /tmp/access_log
打開(kāi)kibana的鏈接http://yourhost:5601，使用用戶名/密碼: elastic/elastic0登錄。在”Configure an index pattern”頁(yè)面點(diǎn)擊Create按鈕。點(diǎn)擊菜單Monitor即可查看ELK節(jié)點(diǎn)的狀態(tài)，默認(rèn)密碼已經(jīng)修改成功。
以上就是本文的全部?jī)?nèi)容，希望對(duì)大家的學(xué)習(xí)有所幫助，也希望大家多多支持腳本之家。
