前提:
系统centos 7
docker version 1.10.3
使用systemd启动docker
访问方式:
修改/usr/lib/systemd/system/docker.service中的ExecStart，添加host " -H tcp://0.0.0.0:1234 "
ExecStart=/usr/bin/docker daemon $DOCKER_OPTS -H tcp://0.0.0.0:1234
执行systemctl --system daemon-reload, 将docker守护进程绑定到网络接口1234上。
(我机器执行上述命令没起作用，我就重启了docker : systemctl restart docker.service)
这时候会看到1234端口被docker进程绑定了。
[root@node888 system]# ss -anp | grep 1234
tcp LISTEN 0 128 :::1234 :::* users:(("docker",8694,6))
查看docker信息，验证绑定情况
docker -H localhost:1234 info
可以看到
Containers: 49 Running: 1 Paused: 0 Stopped: 48 Images: 6 Server Version: 1.10.3 Storage Driver: devicemapper Pool Name: docker-253:0-202045413-pool Pool Blocksize: 65.54 kB Base Device Size: 10.74 GB Backing Filesystem: xfs Data file: /dev/loop0 Metadata file: /dev/loop1 Data Space Used: 4.555 GB Data Space Total: 107.4 GB Data Space Available: 2.347 GB Metadata Space Used: 10.02 MB Metadata Space Total: 2.147 GB Metadata Space Available: 2.137 GB Udev Sync Supported: false Deferred Removal Enabled: false Deferred Deletion Enabled: false Deferred Deleted Device Count: 0 Data loop file: /var/lib/docker/devicemapper/devicemapper/data WARNING: Usage of loopback devices is strongly discouraged for production use. Either use `--storage-opt dm.thinpooldev` or use `--storage-opt dm.no_warn_on_loop_devices=true` to suppress this warning. Metadata loop file: /var/lib/docker/devicemapper/devicemapper/metadata Library Version: 1.02.82 (2013-10-04) Execution Driver: native-0.2 Logging Driver: json-file Plugins: Volume: local Network: null host bridge Kernel Version: 3.10.0-229.el7.x86_64 Operating System: CentOS Linux 7 (Core) OSType: linux Architecture: x86_64 CPUs: 4 Total Memory: 15.52 GiB Name: tw-node1247 ID: 757V:3H6N:ACAT:OJJJ:S353:QAQV:63HH:DWWR:KVQD:PFEQ:TGST:LUZ2 Debug mode (server): true File Descriptors: 20 Goroutines: 35 System Time: 2017-03-05T20:29:46.906849392+08:00 EventsListeners: 0 Init SHA1: Init Path: /usr/bin/docker Docker Root Dir: /var/lib/docker Username: lixiaolun Registry: https://index.docker.io/v1/
或者使用curl http://localhost:1234/info
查看image
curl http://localhost:2345/images/json | python -mjson.tool
