使用docker搭建elasticsearch和kibana

准备工作

创建docker network

创建一个docker network用于docker 应用间的互通。

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docker network create elk

上面 elk 是创建网络的名称。

然后可以是用以下命令查看创建网络的信息

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docker network inspect elk

创建elasticsearch应用

使用docker-compose来编排elasticsearch应用，其yml文件如下:

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version: '3'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:6.7.0
    container_name: elasticsearch
    networks:
      - default
      - elk
    ports:
      - "9300:9300"
      - "9200:9200"
    environment:
      - discovery.type=single-node
networks:
  elk:
    external: true

然后执行命令

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docker-compose up

使用以下命令验证是否已正常启动es

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curl 'http://localhost:9200/?pretty'

创建kibana应用

同样使用docker-compose来创建kibana应用，yml文件如下

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version: '3'
services:
  kibana:
    image: docker.elastic.co/kibana/kibana:6.7.0
    container_name: kibana
    networks:
      - default
      - elk
    ports:
      - "5601:5601"
    environment:
      SERVER_NAME: localhost
      SERVER_PORT: 5601
      ELASTICSEARCH_HOSTS: http://172.20.0.2:9200
networks:
  elk:
    external: true

其中 ELASTICSEARCH_HOSTS 的地址是由 docker network 获得。

然后通过 docker-compose up 启动应用。

访问 http://localhost:5601 进入kibana页面。

额外

使用 docker network inspect elk 可查看当前网络信息。

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  docker network inspect elk
[
    {
        "Name": "elk",
        "Id": "a5435f367fbd68104c8f4cd52556933bf70bbd41afdea600598d29d233668583",
        "Created": "2019-04-06T02:43:00.6431085Z",
        "Scope": "local",
        "Driver": "bridge",
        "EnableIPv6": false,
        "IPAM": {
            "Driver": "default",
            "Options": {},
            "Config": [
                {
                    "Subnet": "172.20.0.0/16",
                    "Gateway": "172.20.0.1"
                }
            ]
        },
        "Internal": false,
        "Attachable": false,
        "Ingress": false,
        "ConfigFrom": {
            "Network": ""
        },
        "ConfigOnly": false,
        "Containers": {
            "62aa6a65e845cf6cb1b0f5fa3a73483b9305eb65d07de33c6c6ace8008bf53b0": {
                "Name": "elasticsearch",
                "EndpointID": "267b8af789689db8d65b5f6f64b7b4da3dc418e39f02dc7f9d0c918c9f598169",
                "MacAddress": "02:42:ac:14:00:02",
                "IPv4Address": "172.20.0.2/16",
                "IPv6Address": ""
            },
            "6774e69500f19b898406b856f1a0ad2a1bce0b22c18e786d5e1d2752b253b42d": {
                "Name": "kibana",
                "EndpointID": "c567c8230161b5dd8b2c6bf2d23261340d67e748c3f64fd630e3d5385cba32e0",
                "MacAddress": "02:42:ac:14:00:03",
                "IPv4Address": "172.20.0.3/16",
                "IPv6Address": ""
            }
        },
        "Options": {},
        "Labels": {}
    }
]

可以使用ping来测试互通是否成功

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⇒  docker exec -it elasticsearch ping kibana
PING kibana (172.20.0.3) 56(84) bytes of data.
64 bytes from kibana.elk (172.20.0.3): icmp_seq=1 ttl=64 time=0.192 ms
64 bytes from kibana.elk (172.20.0.3): icmp_seq=2 ttl=64 time=0.167 ms
64 bytes from kibana.elk (172.20.0.3): icmp_seq=3 ttl=64 time=0.169 ms
64 bytes from kibana.elk (172.20.0.3): icmp_seq=4 ttl=64 time=0.128 ms

参考