docker版ELK(ElasticSearch+Logstash+ Kibana)+filebeat日志分析平台的搭建(一)
安装docker环境参考我之前写的博客https://blog.csdn.net/qq_41980563/article/details/88362801安装elk安装elasticsearch和head插件docker pull docker.elastic.co/elasticsearch/elasticsearch:6.6.1docker pull mobz/elasticse...
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安装docker环境
参考我之前写的博客
https://blog.csdn.net/qq_41980563/article/details/88362801
安装elk
官方下载地址https://www.elastic.co/downloads
- 安装elasticsearch和head插件
docker pull docker.elastic.co/elasticsearch/elasticsearch:6.6.1
docker pull mobz/elasticsearch-head:5 - 安装kibana
docker pull docker.elastic.co/kibana/kibana:6.6.1 - 安装logstash
docker pull docker.elastic.co/logstash/logstash:6.6.1 - 在需要获取日志的服务器上安装filebeat
docker pull docker.elastic.co/beats/filebeat:6.6.1
配置elk
- 配置elasticsearch
docker pull docker.elastic.co/elasticsearch/elasticsearch:6.6.1
cluster.name: mycs-es
node.name: node-1
path.data: /usr/share/elasticsearch/data/
network.host: 0.0.0.0
http.port: 9200
transport.tcp.port: 9300
http.cors.enabled: true
http.cors.allow-origin: "*"
- 配置kibana
server.port: 5601
server.host: "0.0.0.0"
elasticsearch.url: "http://192.168.10.201:9200"
3.配置logstash
http.host: "0.0.0.0"
4.这几个容器都是用指定用户启动的,都是uid和gid为1000的用户,可以chown 1000:1000 -R *或者创建一个uid和gid为1000的用户,再把这几个文件的属组改为这个用户。
groupadd -g 1000 elk
useradd -u 1000 -g 1000 elk
chown elk. -R *
编写docker-compose.yml,把配置文件和es数据目录挂载进去
#author menard 2019-2-28
version: '2.2'
networks:
elknet:
ipam:
config:
- subnet: 172.11.0.0/24
gateway: 172.11.0.1
services:
es-head:
image: "mobz/elasticsearch-head:5"
hostname: es-head
container_name: es-head
restart: always
ports:
- '9100:9100'
networks:
elknet:
ipv4_address: 172.11.0.2
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:6.6.1
container_name: elasticsearch
hostname: elasticsearch
environment:
#- cluster.name=mycs-es
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- /path/es-data/:/usr/share/elasticsearch/data/
- /path/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
ports:
- 9200:9200
- 9300:9300
networks:
elknet:
ipv4_address: 172.11.0.3
kibana:
image: docker.elastic.co/kibana/kibana:6.6.1
container_name: kibana
hostname: kibana
volumes:
- /path/kibana.yml:/usr/share/kibana/config/kibana.yml
ports:
- 5601:5601
networks:
elknet:
ipv4_address: 172.11.0.4
logstash:
image: docker.elastic.co/logstash/logstash:6.6.1
container_name: logstash
hostname: logstash
volumes:
- /path/logstash.yml:/usr/share/logstash/config/logstash.yml
- /path/logstash-etc/:/etc/logstash/
ports:
- 5044:5044
networks:
elknet:
ipv4_address: 172.11.0.5
启动elk
1.docker-compose up -d启动容器
2.浏览器输入ip:9200访问
2.浏览器输入ip:9100访问head插件
3.浏览器输入ip:5601访问kibana
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