使用docker-compose方式部署es和kibana以及cerebro
使用的镜像可以从这个网站查看最新的：https://hub.docker.com/
参考极客时间上的教程转发来的
使用步骤：安装docker和docker-compose
运行：
docker-compose up -d
docker-compose ps
docker-compose down
docker stop/rm ContainerID
# docker-compose ps
Name Command State Ports
---------------------------------------------------------------------------------------
es7_cold /tini -- /usr/local/bin/do ... Up 9200/tcp, 9300/tcp
es7_hot /tini -- /usr/local/bin/do ... Up 0.0.0.0:9200->9200/tcp, 9300/tcp
es7_warm /tini -- /usr/local/bin/do ... Up 9200/tcp, 9300/tcp
hwc_cerebro /opt/cerebro/bin/cerebro - ... Up 0.0.0.0:9000->9000/tcp
hwc_kibana7 /usr/local/bin/dumb-init - ... Up 0.0.0.0:5601->5601/tcp
es单节点和kibana
version: '2.2'
services:
kibana:
image: docker.elastic.co/kibana/kibana:7.3.0
container_name: kibana73
environment:
- I18N_LOCALE=zh-CN
- XPACK_GRAPH_ENABLED=true
- TIMELION_ENABLED=true
- XPACK_MONITORING_COLLECTION_ENABLED="true"
ports:
- "5601:5601"
networks:
- es7net
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.1.0
container_name: es73
environment:
- cluster.name=geektime
- node.name=es73
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es73
- cluster.initial_master_nodes=es73
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es73data1:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- es73net
volumes:
es73data1:
driver: local
networks:
es73net:
driver: bridge
es两节点集群和kibana
version: '2.2'
services:
cerebro:
image: lmenezes/cerebro:0.8.3
container_name: cerebro
ports:
- "9000:9000"
command:
- -Dhosts.0.host=http://elasticsearch:9200
networks:
- es72net
kibana:
image: docker.elastic.co/kibana/kibana:7.2.0
container_name: kibana72
environment:
#- I18N_LOCALE=zh-CN
- XPACK_GRAPH_ENABLED=true
- TIMELION_ENABLED=true
- XPACK_MONITORING_COLLECTION_ENABLED="true"
ports:
- "5601:5601"
networks:
- es72net
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
container_name: es72_01
environment:
- cluster.name=geektime
- node.name=es72_01
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es72_01,es72_02
- network.publish_host=elasticsearch
- cluster.initial_master_nodes=es72_01,es72_02
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es72data1:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- es72net
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
container_name: es72_02
environment:
- cluster.name=geektime
- node.name=es72_02
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es72_01,es72_02
- network.publish_host=elasticsearch
- cluster.initial_master_nodes=es72_01,es72_02
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es72data2:/usr/share/elasticsearch/data
networks:
- es72net
volumes:
es72data1:
driver: local
es72data2:
driver: local
networks:
es72net:
driver: bridge
es两节点集群，kibana和cerebro
version: '2.2'
services:
cerebro:
image: lmenezes/cerebro:0.8.3
container_name: cerebro
ports:
- "9000:9000"
command:
- -Dhosts.0.host=http://elasticsearch:9200
networks:
- es7net
kibana:
image: docker.elastic.co/kibana/kibana:7.1.0
container_name: kibana7
environment:
- I18N_LOCALE=zh-CN
- XPACK_GRAPH_ENABLED=true
- TIMELION_ENABLED=true
- XPACK_MONITORING_COLLECTION_ENABLED="true"
ports:
- "5601:5601"
networks:
- es7net
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.1.0
container_name: es7_01
environment:
- cluster.name=geektime
- node.name=es7_01
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es7_01,es7_02
- cluster.initial_master_nodes=es7_01,es7_02
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es7data1:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- es7net
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:7.1.0
container_name: es7_02
environment:
- cluster.name=geektime
- node.name=es7_02
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es7_01,es7_02
- cluster.initial_master_nodes=es7_01,es7_02
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es7data2:/usr/share/elasticsearch/data
networks:
- es7net
volumes:
es7data1:
driver: local
es7data2:
driver: local
networks:
es7net:
driver: bridge
es三节点hot warm和cold ,kibana和cerebro
# docker-compose.yaml
version: '2.2'
services:
cerebro:
image: lmenezes/cerebro:0.9.3
container_name: hwc_cerebro
ports:
- "9000:9000"
command:
- -Dhosts.0.host=http://elasticsearch:9200
networks:
- hwc_es7net
kibana:
image: docker.elastic.co/kibana/kibana:7.10.0
container_name: hwc_kibana7
environment:
- I18N_LOCALE=zh-CN
- XPACK_GRAPH_ENABLED=true
- TIMELION_ENABLED=true
- XPACK_MONITORING_COLLECTION_ENABLED="true"
ports:
- "5601:5601"
networks:
- hwc_es7net
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.10.0
container_name: es7_hot
environment:
- cluster.name=geektime-hwc
- node.name=es7_hot
- node.attr.box_type=hot
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es7_hot,es7_warm,es7_cold
- cluster.initial_master_nodes=es7_hot,es7_warm,es7_cold
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- hwc_es7data_hot:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- hwc_es7net
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:7.10.0
container_name: es7_warm
environment:
- cluster.name=geektime-hwc
- node.name=es7_warm
- node.attr.box_type=warm
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es7_hot,es7_warm,es7_cold
- cluster.initial_master_nodes=es7_hot,es7_warm,es7_cold
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- hwc_es7data_warm:/usr/share/elasticsearch/data
networks:
- hwc_es7net
elasticsearch3:
image: docker.elastic.co/elasticsearch/elasticsearch:7.10.0
container_name: es7_cold
environment:
- cluster.name=geektime-hwc
- node.name=es7_cold
- node.attr.box_type=cold
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es7_hot,es7_warm,es7_cold
- cluster.initial_master_nodes=es7_hot,es7_warm,es7_cold
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- hwc_es7data_cold:/usr/share/elasticsearch/data
networks:
- hwc_es7net
volumes:
hwc_es7data_hot:
driver: local
hwc_es7data_warm:
driver: local
hwc_es7data_cold:
driver: local
networks:
hwc_es7net:
driver: bridge
#启动
docker-compose up
#停止容器
docker-compose down
#停止容器并且移除数据
docker-compose down -v
#一些docker 命令
docker ps
docker stop Name/ContainerId
docker start Name/ContainerId
#删除单个容器
$docker rm Name/ID
-f, –force=false; -l, –link=false Remove the specified link and not the underlying container; -v, –volumes=false Remove the volumes associated to the container
#删除所有容器
$docker rm `docker ps -a -q`
停止、启动、杀死、重启一个容器
$docker stop Name/ID
$docker start Name/ID
$docker kill Name/ID
$docker restart name/ID
相关阅读
- 安装docker https://www.docker.com/products/docker-desktop
- 安装 docker-compose https://docs.docker.com/compose/install/
- 如何创建自己的Docker Image - https://www.elastic.co/cn/blog/how-to-make-a-dockerfile-for-elasticsearch
- 如何在为docker image安装 Elasticsearch 插件 - https://www.elastic.co/cn/blog/elasticsearch-docker-plugin-management
- 如何设置 Docker 网络 - https://www.elastic.co/cn/blog/docker-networking
- Cerebro 源码 https://github.com/lmenezes/cerebro
- 一个开源的 ELK（Elasticsearch + Logstash + Kibana） docker-compose 配置 https://github.com/deviantony/docker-elk
- Install Elasticsearch with Docker https://www.elastic.co/guide/en/elasticsearch/reference/7.2/docker.html
