三、Docker常用命令
Docker常用命令
帮助命令
docker version # 显示 Docker 版本信息。
docker info # 显示 Docker 系统信息，包括镜像和容器数量
docker --help # 帮助
镜像命令
docker images
[root@localhost ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
hello-world latest feb5d9fea6a5 3 months ago 13.3kB
#解释
REPOSITORY 镜像的仓库源
TAG 镜像的标签
IMAGE ID 镜像的ID
CREATED 镜像创建的时间
SIZE 镜像的大小
#可选项
-a, --all #列出所有的镜像
-q, --quiet #只显示镜像的ID
docker search 搜索镜像
[root@localhost ~]# docker search mysql
NAME DESCRIPTION STARS OFFICIAL AUTOMATED
mysql MySQL is a widely used, open-source relation… 11895 [OK]
mariadb MariaDB Server is a high performing open sou… 4552 [OK]
#可选项，通过搜索来过滤
--filter=STARS=3000 #搜索出来的镜像就是STARS大于3000的
[root@localhost ~]# docker search mysql --filter=STARS=3000
NAME DESCRIPTION STARS OFFICIAL AUTOMATED
mysql MySQL is a widely used, open-source relation… 11900 [OK]
mariadb MariaDB Server is a high performing open sou… 4552 [OK]
docker pull 下载镜像
#下载镜像 docker pull 镜像名
[root@localhost ~]# docker pull 镜像名:[tag]
Using default tag: latest #如果不写tag，默认就是latest
latest: Pulling from library/mysql
72a69066d2fe: Pull complete #分层下载，docker image的核心，联合文件系统
93619dbc5b36: Pull complete
99da31dd6142: Pull complete
626033c43d70: Pull complete
37d5d7efb64e: Pull complete
ac563158d721: Pull complete
d2ba16033dad: Pull complete
688ba7d5c01a: Pull complete
00e060b6d11d: Pull complete
1c04857f594f: Pull complete
4d7cfa90e6ea: Pull complete
e0431212d27d: Pull complete
Digest: sha256:e9027fe4d91c0153429607251656806cc784e914937271037f7738bd5b8e7709 #签名
Status: Downloaded newer image for mysql:latest
docker.io/library/mysql:latest #真实地址
#等价于它
docker pull mysql
docker pull docker.io/library/mysql:latest
#指定版本下载
[root@localhost ~]# docker pull mysql:5.7
5.7: Pulling from library/mysql
72a69066d2fe: Already exists
93619dbc5b36: Already exists
99da31dd6142: Already exists
626033c43d70: Already exists
37d5d7efb64e: Already exists
ac563158d721: Already exists
d2ba16033dad: Already exists
0ceb82207cd7: Pull complete
37f2405cae96: Pull complete
e2482e017e53: Pull complete
70deed891d42: Pull complete
Digest: sha256:f2ad209efe9c67104167fc609cca6973c8422939491c9345270175a300419f94
Status: Downloaded newer image for mysql:5.7
docker.io/library/mysql:5.7
#查看下载后的镜像
[root@localhost ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
mysql 5.7 c20987f18b13 12 days ago 448MB
mysql latest 3218b38490ce 12 days ago 516MB
hello-world latest feb5d9fea6a5 3 months ago 13.3kB
docker rmi 删除镜像
[root@localhost ~]# docker rmi -f 镜像ID #删除指定的镜像
[root@localhost ~]# docker rmi -f 镜像ID 镜像ID 镜像ID #删除多个镜像
[root@localhost ~]# docker rmi -f $(docker images -qa) #删除全部镜像
容器命令
说明∶我们有了镜像才可以创建容器，linux，下载一个centos镜像来测试学习
docker pull centos
新建容器并启动
# 命令
docker run [OPTIONS] IMAGE [COMMAND][ARG...]
# 常用参数说明
--name="Name" # 给容器指定一个名字
-d # 后台方式运行容器，并返回容器的id！
-i # 以交互模式运行容器，通过和 -t 一起使用
-t # 给容器重新分配一个终端，通常和 -i 一起使用
-P # 随机端口映射（大写）
-p # 指定端口映射（小结），一般可以有四种写法
ip:hostPort:containerPort
ip::containerPort
hostPort:containerPort (常用)
containerPort
# 测试
[root@localhost ~]# docker images
REPOSITORY TAG IMAGE ID CREATED
SIZE
centos latest 470671670cac 3 months ago
237MB
# 使用centos进行用交互模式启动容器，在容器内执行/bin/bash命令！
[root@localhost ~]# docker run -it centos /bin/bash
[root@dc8f24dd06d0 /]# ls # 注意地址，已经切换到容器内部了！
bin etc lib lost+found mnt proc run srv tmp var
dev home lib64 media opt root sbin sys usr
[root@dc8f24dd06d0 /]# exit # 使用 exit 退出容器
exit
[root@kuangshen ~]#
列出所有运行的容器
# 命令
docker ps [OPTIONS]
# 常用参数说明
-a # 列出当前所有正在运行的容器 + 历史运行过的容器
-l # 显示最近创建的容器
-n=? # 显示最近n个创建的容器
-q # 静默模式，只显示容器编号。
[root@localhost ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
[root@localhost ~]# docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
2d994f054cf3 centos "/bin/bash" 3 minutes ago Exited (0) About a minute ago confident_wozniak
7df2aef6560d centos "/bin/bash" 5 minutes ago Exited (127) 3 minutes ago eloquent_mclean
23c1d97fcef4 feb5d9fea6a5 "/hello" 4 hours ago Exited (0) 4 hours ago magical_pascal
20206ca7c368 feb5d9fea6a5 "/hello" 4 hours ago Exited (0) 4 hours ago stoic_meninsky
[root@localhost ~]# docker ps -n=1
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
2d994f054cf3 centos "/bin/bash" 10 minutes ago Exited (0) 8 minutes ago confident_wozniak
[root@localhost ~]# docker ps -qa
2d994f054cf3
7df2aef6560d
23c1d97fcef4
20206ca7c368
退出容器
exit #容器停止并退出
ctrl + P + Q #容器不停止并退出
删除容器
docker rm 容器ID #删除指定的容器，不能删除正在运行的容器，如果要强制删除就要用rm -rf
docker rm -f $(docker ps -qa) #删除所有容器
启动和停止容器的操作
[root@localhost ~]# docker start 容器id #启动容器
[root@localhost ~]# docker restart 容器id #重启容器
[root@localhost ~]# docker stop 容器id #停止当前正在运行的容器
[root@localhost ~]# docker kill 容器id #强制停止当前容器
常用其他命令
后台启动命令
#docker run -d 镜像名
[root@localhost ~]# docker run -d centos
#问题docker ps，发现centos停止了
#常见的坑:docker容器使用后台运行，就必须要有要一个前台进程，docker发现没有应用，就会自动停止
# nginx，容器启动后，发现自己没有提供服务，就会立刻停止，就是没有程序了
查看日志
docker logs -tf --tail 容器——————没有日志
#自己编写一段shell脚本
[root@localhost ~]# docker run -d centos /bin/sh -c "while true;do echo wenhan;sleep 1; done"
#[root@localhost ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
95734c88f11d centos "/bin/sh -c 'while t…" 2 minutes ago Up 2 minutes mystifying_mendeleev
60755c295f3c centos "/bin/bash" 23 hours ago Up 23 hours trusting_raman
显示日志
-tf #显示日志
--tail number #要显示日志条数
[root@localhost ~]# docker logs -tf --tail 10 1968c24ddd98
查看容器中进程信息ps
#命令 docker top 容器id
[root@localhost ~]# docker top 1968c24ddd98
UID PID PPID C STIME TTY
root 3590 3567 0 15:44 pts/0
查看镜像的元数据
#命令
docker inspect 容器id
#测试
[root@localhost ~]# docker inspect 1968c24ddd98
[
{
"Id": "1968c24ddd9892f511dcafdf0bd702a2cbbf088495b5fa4010a819a0986fa179",
"Created": "2022-01-03T07:43:26.99447412Z",
"Path": "/bin/bash",
"Args": [],
"State": {
"Status": "running",
"Running": true,
"Paused": false,
"Restarting": false,
"OOMKilled": false,
"Dead": false,
"Pid": 3590,
"ExitCode": 0,
"Error": "",
"StartedAt": "2022-01-03T07:44:16.28904696Z",
"FinishedAt": "2022-01-03T07:43:48.148938081Z"
},
"Image": "sha256:5d0da3dc976460b72c77d94c8a1ad043720b0416bfc16c52c45d4847e53fadb6",
"ResolvConfPath": "/var/lib/docker/containers/1968c24ddd9892f511dcafdf0bd702a2cbbf088495b5fa4010a819a0986fa179/resolv.conf",
"HostnamePath": "/var/lib/docker/containers/1968c24ddd9892f511dcafdf0bd702a2cbbf088495b5fa4010a819a0986fa179/hostname",
"HostsPath": "/var/lib/docker/containers/1968c24ddd9892f511dcafdf0bd702a2cbbf088495b5fa4010a819a0986fa179/hosts",
"LogPath": "/var/lib/docker/containers/1968c24ddd9892f511dcafdf0bd702a2cbbf088495b5fa4010a819a0986fa179/1968c24ddd9892f511dcafdf0bd702a2cbbf088495b5fa4010a819a0986fa179-json.log",
"Name": "/boring_albattani",
"RestartCount": 0,
"Driver": "overlay2",
"Platform": "linux",
"MountLabel": "",
"ProcessLabel": "",
"AppArmorProfile": "",
"ExecIDs": null,
"HostConfig": {
"Binds": null,
"ContainerIDFile": "",
"LogConfig": {
"Type": "json-file",
"Config": {}
},
"NetworkMode": "default",
"PortBindings": {},
"RestartPolicy": {
"Name": "no",
"MaximumRetryCount": 0
},
"AutoRemove": false,
"VolumeDriver": "",
"VolumesFrom": null,
"CapAdd": null,
"CapDrop": null,
"CgroupnsMode": "host",
"Dns": [],
"DnsOptions": [],
"DnsSearch": [],
"ExtraHosts": null,
"GroupAdd": null,
"IpcMode": "private",
"Cgroup": "",
"Links": null,
"OomScoreAdj": 0,
"PidMode": "",
"Privileged": false,
"PublishAllPorts": false,
"ReadonlyRootfs": false,
"SecurityOpt": null,
"UTSMode": "",
"UsernsMode": "",
"ShmSize": 67108864,
"Runtime": "runc",
"ConsoleSize": [
0,
0
],
"Isolation": "",
"CpuShares": 0,
"Memory": 0,
"NanoCpus": 0,
"CgroupParent": "",
"BlkioWeight": 0,
"BlkioWeightDevice": [],
"BlkioDeviceReadBps": null,
"BlkioDeviceWriteBps": null,
"BlkioDeviceReadIOps": null,
"BlkioDeviceWriteIOps": null,
"CpuPeriod": 0,
"CpuQuota": 0,
"CpuRealtimePeriod": 0,
"CpuRealtimeRuntime": 0,
"CpusetCpus": "",
"CpusetMems": "",
"Devices": [],
"DeviceCgroupRules": null,
"DeviceRequests": null,
"KernelMemory": 0,
"KernelMemoryTCP": 0,
"MemoryReservation": 0,
"MemorySwap": 0,
"MemorySwappiness": null,
"OomKillDisable": false,
"PidsLimit": null,
"Ulimits": null,
"CpuCount": 0,
"CpuPercent": 0,
"IOMaximumIOps": 0,
"IOMaximumBandwidth": 0,
"MaskedPaths": [
"/proc/asound",
"/proc/acpi",
"/proc/kcore",
"/proc/keys",
"/proc/latency_stats",
"/proc/timer_list",
"/proc/timer_stats",
"/proc/sched_debug",
"/proc/scsi",
"/sys/firmware"
],
"ReadonlyPaths": [
"/proc/bus",
"/proc/fs",
"/proc/irq",
"/proc/sys",
"/proc/sysrq-trigger"
]
},
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/9eee4d7fb0b5a3ab9f098c0569584f1de34ceb5d6980fd0279c83f09e9708eea-init/diff:/var/lib/docker/overlay2/f6b5213c84dad1930646bcf77ab538539a36cca3689fba20beeafcf8cb6e451c/diff",
"MergedDir": "/var/lib/docker/overlay2/9eee4d7fb0b5a3ab9f098c0569584f1de34ceb5d6980fd0279c83f09e9708eea/merged",
"UpperDir": "/var/lib/docker/overlay2/9eee4d7fb0b5a3ab9f098c0569584f1de34ceb5d6980fd0279c83f09e9708eea/diff",
"WorkDir": "/var/lib/docker/overlay2/9eee4d7fb0b5a3ab9f098c0569584f1de34ceb5d6980fd0279c83f09e9708eea/work"
},
"Name": "overlay2"
},
"Mounts": [],
"Config": {
"Hostname": "1968c24ddd98",
"Domainname": "",
"User": "",
"AttachStdin": true,
"AttachStdout": true,
"AttachStderr": true,
"Tty": true,
"OpenStdin": true,
"StdinOnce": true,
"Env": [
"PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
],
"Cmd": [
"/bin/bash"
],
"Image": "centos",
"Volumes": null,
"WorkingDir": "",
"Entrypoint": null,
"OnBuild": null,
"Labels": {
"org.label-schema.build-date": "20210915",
"org.label-schema.license": "GPLv2",
"org.label-schema.name": "CentOS Base Image",
"org.label-schema.schema-version": "1.0",
"org.label-schema.vendor": "CentOS"
}
},
"NetworkSettings": {
"Bridge": "",
"SandboxID": "08fe910f6d85f9d1a027f8c19f07932095543c6e6fbb9fa0961a80daf10866e1",
"HairpinMode": false,
"LinkLocalIPv6Address": "",
"LinkLocalIPv6PrefixLen": 0,
"Ports": {},
"SandboxKey": "/var/run/docker/netns/08fe910f6d85",
"SecondaryIPAddresses": null,
"SecondaryIPv6Addresses": null,
"EndpointID": "47f204951a405b4e5411c919bdcdd7a1c74857ce1d51dd8790bb0239a54c31c9",
"Gateway": "172.17.0.1",
"GlobalIPv6Address": "",
"GlobalIPv6PrefixLen": 0,
"IPAddress": "172.17.0.2",
"IPPrefixLen": 16,
"IPv6Gateway": "",
"MacAddress": "02:42:ac:11:00:02",
"Networks": {
"bridge": {
"IPAMConfig": null,
"Links": null,
"Aliases": null,
"NetworkID": "ab066a4090fda0da01fba8af7ad237190488555a4dadfc5242e361eafd476a8c",
"EndpointID": "47f204951a405b4e5411c919bdcdd7a1c74857ce1d51dd8790bb0239a54c31c9",
"Gateway": "172.17.0.1",
"IPAddress": "172.17.0.2",
"IPPrefixLen": 16,
"IPv6Gateway": "",
"GlobalIPv6Address": "",
"GlobalIPv6PrefixLen": 0,
"MacAddress": "02:42:ac:11:00:02",
"DriverOpts": null
}
}
}
}
]
进入当前正在运行的容器
#我们通常容器都是使用后台方式运行的，需要进入容器，修改一些配置
#命令
docker exec -it 容器id bashshell
#测试
[root@localhost ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
1968c24ddd98 centos "/bin/bash" 19 minutes ago Up 18 minutes boring_albattani
[root@localhost ~]# docker exec -it 1968c24ddd98 /bin/bash
[root@1968c24ddd98 /]# ls
bin dev etc home lib lib64 lost+found media mnt opt proc root run sbin srv sys tmp usr var
[root@1968c24ddd98 /]# ps -ef
UID PID PPID C STIME TTY TIME CMD
root 1 0 0 07:44 pts/0 00:00:00 /bin/bash
root 15 0 0 08:03 pts/1 00:00:00 /bin/bash
root 30 15 0 08:03 pts/1 00:00:00 ps -ef
#方式二
docker attach 容器id
#测试
[root@localhost ~]# docker attach 1968c24ddd98
正在执行当前的代码......
# docker exec #进入容器后开启一个新的终端，可以在里面操作（常用)
# docker attach #进入容器正在执行的终端，不会启动新的进程!
从容器内拷贝文件到主机上
docker cp 容器id:容器内路径 目的的主机路径
#查看当前主机目录下
[root@localhost ~]# cd /home/
[root@localhost home]# ls
admin www
#查看正在运行的容器
[root@localhost home]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
1968c24ddd98 centos "/bin/bash" 36 minutes ago Up 35 minutes boring_albattani
#进入容器
[root@localhost ~]# docker attach 4f91166e096e
[root@4f91166e096e /]# cd /home/
[root@4f91166e096e home]# ls
#在容器中创建一个文件
[root@4f91166e096e home]# touch wenhan.java
[root@4f91166e096e home]# ls
wenhan.java
[root@4f91166e096e home]# exit
exit
#将这个文件拷贝到主机上
[root@localhost ~]# docker cp 4f91166e096e:/home/wenhan.java /home/
[root@localhost ~]# cd /home/
[root@localhost home]# ls
admin wenhan.java www
#拷贝是一个手动过程，未来我们使用-v卷的技术，可以实现
小结
attach Attach to a running container #当前she17 下attach连接指定运行镜像
bui1d Bui1d an image from a Dockerfile #通过Dockerfile定制镜像
commit create a new image from a container changes #提交当前容器为新的镜像cp
cp Copy files/folders from the containers filesystem to the host path #从容器中拷贝指定文件或者目录到宿主机中
create Create a new container#创建一个新的容器，同run，但不启动容器
diff Inspect changes on a container's filesystem #查看docker容器变化
events Get real time events from the server #从docker服务获取容器实时事件
exec Run a command in an existing container #在已存在的容器上运行命令
export Stream the contents of a container as a tar archive#导出容器的内容流作为一个 tar 归档文件[对应import ]
history Show the history of an image#展示一个镜像形成历史
images List images #列出系统当前镜像
import create a new filesystem image from the contents of a tarball# 从tar包中的内容创建一个新的文件系统映像[对应export]
info Display system-wide information #显示系统相关信息
inspect Return low-level information on a container #查看容器详细信息ki11
kill Kill a running container # kill指定docker容器
load Load an image from a tar archive #从一个tar包中加载一个镜像[对应save]
login Register or Login to the docker registry server#注册或者登陆一个docker源服务器
logout Logout from a Docker registry server #从当前Docker registry退出
logs Fetch the logs of a container #输出当前容器日志信息
port Lookup the public-facing port which is NAT-ed to PRIVATE_PORT #查看映射端口对应的容器内部源端口
pause Pause a71 processes within a container #暂停容器
ps List containers #列出容器列表
pu11 Pull an image or a repository from the docker registry server# 从docker镜像源服务器拉取指定镜像或者库镜像
push Push an image or a repository to the docker registry server # 推送指定镜像或者库镜像至docker源服务器
restart Restart a running container #重启运行的容器
rm Remove one or more containers #移除一个或者多个容器
rmi Remove one or more images #移除一个或多个镜像[无容器使用该镜像才可删除，否则需删除相关容器才可继续或-f强制删除]
run Run a command in a new container #创建一个新的容器并运行一个命令
save save an image to a tar archive #保存一个镜像为一个 tar包[对应1oad]
search search for an[image on the Docker Hub #在docker hub中搜索镜像
start Start a stopped containers #启动容器
stop stop a running containers #停止容器
tag Tag an image into a repository #给源中镜像打标签
top Lookup the running processes of a container #查看容器中运行的进程信息
unpause Unpause a paused container #取消暂停容器
version Show the docker version information #查看docker版本号
wait Block until a container stops,then print its exit code #截取容器停止时的退出状态值
作业练习
Docker 安装nginx
#1、搜索镜像 search 建议大家去docker搜索,可以看到帮助文档
#2、下载镜像 pu11
#3、运行测试
[root@localhost ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
nginx latest 605c77e624dd 4 days ago 141MB
centos latest 5d0da3dc9764 3 months ago 231MB
# -d 后台运行
# --name 给容器命名
# -p 宿主机端口:容器内部端口
[root@localhost ~]# docker run -d --name nginx01 -p 3390:80 nginx
af810b00b03d07b1f7eb72272ff80121dcf6220de8f79c3796aee13a687c6a31
[root@localhost ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
af810b00b03d nginx "/docker-entrypoint.…" About a minute ago Up About a minute 0.0.0.0:3390->80/tcp nginx01
#测试
[root@localhost ~]# curl localhost:3390
#进入容器
[root@localhost ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
nginx latest 605c77e624dd 4 days ago 141MB
centos latest 5d0da3dc9764 3 months ago 231MB
[root@localhost ~]# docker run -exec -it nginx /bin/bash
root@fd2ea18bc6b7:/# whereis nginx
nginx: /usr/sbin/nginx /usr/lib/nginx /etc/nginx /usr/share/nginx
root@fd2ea18bc6b7:/# cd /etc/nginx/
root@fd2ea18bc6b7:/etc/nginx# ls
conf.d fastcgi_params mime.types modules nginx.conf scgi_params uwsgi_params
使用docker安装 tomcat
# 官方文档解释
# -it ：交互模式
# --rm：容器启动成功并退出以后容器就自动移除，一般在测试情况下使用！
docker run -it --rm tomcat:9.0
# 1、下载tomcat镜像
docker pull tomcat
# 2、启动
docker run -d -p 8080:8080 --name tomcat9 tomcat
# 3、进入tomcat
docker exec -it tomcat9 /bin/bash
# 4、思考：我们以后要部署项目，还需要进入容器中，是不是十分麻烦，要是有一种技术，可以将容器
内和我们Linux进行映射挂载就好了？我们后面会将数据卷技术来进行挂载操作，也是一个核心内容，这
里大家先听听名词就好，我们很快就会讲到！
使用docker 部署 es + kibana
1 # 我们启动es这种容器需要考虑几个问题
2 1、端口暴露问题 9200、9300
3 2、数据卷的挂载问题 data、plugins、conf
4 3、吃内存 - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
5
6 # 扩展命令
7 docker stats 容器id # 查看容器的cpu内存和网络状态
8
9 # 1、启动es测试
10 docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e
"discovery.type=single-node" elasticsearch:7.6.2
11
12 # 2、启动之后很卡，使用 docker stats 容器id 查看下cpu状态 ，发现占用的很大
13 CONTAINER ID NAME CPU % MEM USAGE /
LIMIT MEM %
14 249ae46da625 elasticsearch 0.00% 1.036GiB /
1.716GiB 60.37%
15
16 # 3、测试访问
17 [root@kuangshen data]# curl localhost:9200
18 {
19 "name" : "249ae46da625",
20 "cluster_name" : "docker-cluster",
21 "cluster_uuid" : "_Ho_i4fOTUesNc_II35sSA",
22 "version" : {
23 "number" : "7.6.2",
24 "build_flavor" : "default",
25 "build_type" : "docker",
26 "build_hash" : "ef48eb35cf30adf4db14086e8aabd07ef6fb113f",
27 "build_date" : "2020-03-26T06:34:37.794943Z",
28 "build_snapshot" : false,
29 "lucene_version" : "8.4.0",
30 "minimum_wire_compatibility_version" : "6.8.0",
31 "minimum_index_compatibility_version" : "6.0.0-beta1"
32 },
33 "tagline" : "You Know, for Search"
34 }
35
36 # 4、增加上内存限制启动
37 docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e
"discovery.type=single-node" -e ES_JAVA_OPTS="-Xms64m -Xmx512m"
elasticsearch:7.6.2
38
39 # 5、启动之后，使用 docker stats 查看下cpu状态
40 CONTAINER ID NAME CPU % MEM USAGE /
LIMIT MEM %
41 d2860684e7e4 elasticsearch 0.24% 358.3MiB /
1.716GiB 20.40%
42
43 # 6、测试访问，效果一样，ok！
44 [root@kuangshen data]# curl localhost:9200
45
46 # 思考：如果我们要使用 kibana , 如果配置连接上我们的es呢？网络该如何配置呢？
可视化
Portainer（先用这个)
docker run -d -p 8088:9000 \
--restart=always -v /var/run/docker.sock:/var/run/docker.sock --
privileged=true portainer/portainer
Rancher（CI/CD再用这个）
#安装rancher-server
docker run --name rancher-server -p 8000:8080 -v
/etc/localtime:/etc/localtime:ro -d rancher/server
#安装agent
docker run --rm --privileged -v /var/run/docker.sock:/var/run/docker.sock -v
/var/lib/rancher:/var/lib/rancher rancher/agent:v1.2.11
http://39.101.191.131:8000/v1/scripts/D3DBD43F263109BB881F:1577750400000:7M0y
BzCw4XSxJklD7TpysYIpI
介绍:
Portainer是Docker的图形化管理工具，提供状态显示面板、应用模板快速部署、容器镜像网络数据卷 的基本操作（包括上传下载镜像，创建容器等操作）、事件日志显示、容器控制台操作、Swarm集群和 服务等集中管理和操作、登录用户管理和控制等功能。功能十分全面，基本能满足中小型单位对容器管 理的全部需求。
如果仅有一个docker宿主机，则可使用单机版运行，Portainer单机版运行十分简单，只需要一条语句即 可启动容器，来管理该机器上的docker镜像、容器等数据。
docker run -d -p 8088:9000 \
--restart=always -v /var/run/docker.sock:/var/run/docker.sock --
privileged=true portainer/portainer
访问方式：http://IP:8088
首次登陆需要注册用户，给admin用户设置密码：
单机版这里选择local即可，选择完毕，点击Connect即可连接到本地docker：
登录成功！
我们可以点击可视化界面来玩玩！
本文来自博客园，作者：Cloudservice，转载请注明原文链接：https://www.cnblogs.com/whwh/p/16107159.html，只要学不死，就往死里学！
