Docker部署elk全流程指令

以下是Docker部署ELK的全流程指令：

1. 安装Docker和Docker Compose

2. 创建一个新的目录，将以下文件分别放入该目录下：

- elasticsearch.yml
- logstash.conf
- kibana.yml
- docker-compose.yml

3. 在elasticsearch.yml中配置Elasticsearch：

   cluster.name: "my-cluster"
   network.host: 0.0.0.0
   http.port: 9200

4. 在logstash.conf中配置Logstash：

   input {
     beats {
       port => 5044
     }
   }
   
   output {
     elasticsearch {
       hosts => ["elasticsearch:9200"]
       index => "%{[@metadata][beat]}-%{[@metadata][version]}-%{+YYYY.MM.dd}"
     }
   }

5. 在kibana.yml中配置Kibana：

   server.name: kibana
   server.host: "0"
   elasticsearch.hosts: ["http://elasticsearch:9200"]

6. 在docker-compose.yml中定义容器：

   version: '2.2'
   services:
     elasticsearch:
       image: docker.elastic.co/elasticsearch/elasticsearch:7.9.3
       container_name: elasticsearch
       environment:
         - discovery.type=single-node
       volumes:
         - ./elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
         - esdata:/usr/share/elasticsearch/data
       ports:
         - 9200:9200
       networks:
         - elk
   
     logstash:
       image: docker.elastic.co/logstash/logstash:7.9.3
       container_name: logstash
       volumes:
         - ./logstash.conf:/usr/share/logstash/pipeline/logstash.conf
       ports:
         - 5044:5044
       networks:
         - elk
   
     kibana:
       image: docker.elastic.co/kibana/kibana:7.9.3
       container_name: kibana
       volumes:
         - ./kibana.yml:/usr/share/kibana/config/kibana.yml
       ports:
         - 5601:5601
       networks:
         - elk
   
   volumes:
     esdata:
       driver: local
   
   networks:
     elk:
       driver: bridge

7. 运行以下命令启动容器：

   docker-compose up -d

8. 访问Kibana的Web界面：http://localhost:5601

现在你已经成功地使用Docker部署了ELK！