你可以使用 Kubernetes 命令行工具 kubectl 与 API Server 进行交互。如果你熟悉 Docker 命令行工具,那么使用 kubectl 会非常简单。但是,Docker 命令与 kubectl 命令之间存在一些差异。以下各节展示了 Docker 子命令并描述了等效的 kubectl 命令。
要运行一个 nginx Deployment 并将其公开,请参阅 kubectl create deployment。
docker
docker run -d --restart=always -e DOMAIN=cluster --name nginx-app -p 80:80 nginx
55c103fa129692154a7652490236fee9be47d70a8dd562281ae7d2f9a339a6db
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
55c103fa1296 nginx "nginx -g 'daemon of…" 9 seconds ago Up 9 seconds 0.0.0.0:80->80/tcp nginx-app
kubectl
# start the pod running nginx
kubectl create deployment --image=nginx nginx-app
deployment.apps/nginx-app created
# add env to nginx-app
kubectl set env deployment/nginx-app DOMAIN=cluster
deployment.apps/nginx-app env updated
kubectl 命令会输出所创建或变更的资源的类型和名称,这些信息随后可用于后续命令。在创建 Deployment 后,你可以公开一个新的 Service。# expose a port through with a service
kubectl expose deployment nginx-app --port=80 --name=nginx-http
service "nginx-http" exposed
通过使用 kubectl,你可以创建一个 Deployment 来确保有 N 个运行 nginx 的 Pod,其中 N 是规约中指定的副本数(默认为 1)。你还可以创建一个带有选择器(selector)的 Service,使其与 Pod 标签匹配。有关详细信息,请参阅使用 Service 访问集群中的应用。
默认情况下,镜像在后台运行,类似于 docker run -d ...。要让进程在前台运行,请使用 kubectl run 来创建 Pod。
kubectl run [-i] [--tty] --attach <name> --image=<image>
与 docker run ... 不同,如果你指定了 --attach,则会连接 stdin、stdout 和 stderr。你无法像在 Docker 中那样控制连接哪些流(即 docker -a ...)。要从容器中分离(detach),你可以键入转义序列 Ctrl+P 后跟 Ctrl+Q。
要列出当前正在运行的内容,请参阅 kubectl get。
docker
docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
14636241935f ubuntu:16.04 "echo test" 5 seconds ago Exited (0) 5 seconds ago cocky_fermi
55c103fa1296 nginx "nginx -g 'daemon of…" About a minute ago Up About a minute 0.0.0.0:80->80/tcp nginx-app
kubectl
kubectl get po
NAME READY STATUS RESTARTS AGE
nginx-app-8df569cb7-4gd89 1/1 Running 0 3m
ubuntu 0/1 Completed 0 20s
要附加到容器中已在运行的进程,请参阅 kubectl attach。
docker
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
55c103fa1296 nginx "nginx -g 'daemon of…" 5 minutes ago Up 5 minutes 0.0.0.0:80->80/tcp nginx-app
docker attach 55c103fa1296
...
kubectl
kubectl get pods
NAME READY STATUS RESTARTS AGE
nginx-app-5jyvm 1/1 Running 0 10m
kubectl attach -it nginx-app-5jyvm
...
要从容器中分离,你可以键入转义序列 Ctrl+P 后跟 Ctrl+Q。
要在容器中执行命令,请参阅 kubectl exec。
docker
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
55c103fa1296 nginx "nginx -g 'daemon of…" 6 minutes ago Up 6 minutes 0.0.0.0:80->80/tcp nginx-app
docker exec 55c103fa1296 cat /etc/hostname
55c103fa1296
kubectl
kubectl get po
NAME READY STATUS RESTARTS AGE
nginx-app-5jyvm 1/1 Running 0 10m
kubectl exec nginx-app-5jyvm -- cat /etc/hostname
nginx-app-5jyvm
使用交互式命令。
docker
docker exec -ti 55c103fa1296 /bin/sh
# exit
kubectl
kubectl exec -ti nginx-app-5jyvm -- /bin/sh
# exit
有关详细信息,请参阅获取正在运行的容器的 Shell。
要跟踪正在运行的进程的 stdout/stderr,请参阅 kubectl logs。
docker
docker logs -f a9e
192.168.9.1 - - [14/Jul/2015:01:04:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.35.0" "-"
192.168.9.1 - - [14/Jul/2015:01:04:03 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.35.0" "-"
kubectl
kubectl logs -f nginx-app-zibvs
10.240.63.110 - - [14/Jul/2015:01:09:01 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
10.240.63.110 - - [14/Jul/2015:01:09:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
Pod 和容器之间有细微的差别;默认情况下,如果进程退出,Pod 不会终止。相反,Pod 会重启该进程。这类似于 docker run 的 --restart=always 选项,但有一个主要区别。在 Docker 中,进程每次调用的输出是拼接在一起的,而在 Kubernetes 中,每次调用都是独立的。要查看 Kubernetes 中前一次运行的输出,请执行:
kubectl logs --previous nginx-app-zibvs
10.240.63.110 - - [14/Jul/2015:01:09:01 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
10.240.63.110 - - [14/Jul/2015:01:09:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
有关详细信息,请参阅日志架构。
要停止并删除正在运行的进程,请参阅 kubectl delete。
docker
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
a9ec34d98787 nginx "nginx -g 'daemon of" 22 hours ago Up 22 hours 0.0.0.0:80->80/tcp, 443/tcp nginx-app
docker stop a9ec34d98787
a9ec34d98787
docker rm a9ec34d98787
a9ec34d98787
kubectl
kubectl get deployment nginx-app
NAME READY UP-TO-DATE AVAILABLE AGE
nginx-app 1/1 1 1 2m
kubectl get po -l app=nginx-app
NAME READY STATUS RESTARTS AGE
nginx-app-2883164633-aklf7 1/1 Running 0 2m
kubectl delete deployment nginx-app
deployment "nginx-app" deleted
kubectl get po -l app=nginx-app
# Return nothing
在 kubectl 中没有与 docker login 直接对应的命令。如果你有兴趣在 Kubernetes 中使用私有镜像仓库,请参阅使用私有镜像仓库。
要获取客户端和服务器的版本,请参阅 kubectl version。
docker
docker version
Client version: 1.7.0
Client API version: 1.19
Go version (client): go1.4.2
Git commit (client): 0baf609
OS/Arch (client): linux/amd64
Server version: 1.7.0
Server API version: 1.19
Go version (server): go1.4.2
Git commit (server): 0baf609
OS/Arch (server): linux/amd64
kubectl
kubectl version
Client Version: version.Info{Major:"1", Minor:"6", GitVersion:"v1.6.9+a3d1dfa6f4335", GitCommit:"9b77fed11a9843ce3780f70dd251e92901c43072", GitTreeState:"dirty", BuildDate:"2017-08-29T20:32:58Z", OpenPaasKubernetesVersion:"v1.03.02", GoVersion:"go1.7.5", Compiler:"gc", Platform:"linux/amd64"}
Server Version: version.Info{Major:"1", Minor:"6", GitVersion:"v1.6.9+a3d1dfa6f4335", GitCommit:"9b77fed11a9843ce3780f70dd251e92901c43072", GitTreeState:"dirty", BuildDate:"2017-08-29T20:32:58Z", OpenPaasKubernetesVersion:"v1.03.02", GoVersion:"go1.7.5", Compiler:"gc", Platform:"linux/amd64"}
要获取有关环境和配置的其他信息,请参阅 kubectl cluster-info。
docker
docker info
Containers: 40
Images: 168
Storage Driver: aufs
Root Dir: /usr/local/google/docker/aufs
Backing Filesystem: extfs
Dirs: 248
Dirperm1 Supported: false
Execution Driver: native-0.2
Logging Driver: json-file
Kernel Version: 3.13.0-53-generic
Operating System: Ubuntu 14.04.2 LTS
CPUs: 12
Total Memory: 31.32 GiB
Name: k8s-is-fun.mtv.corp.google.com
ID: ADUV:GCYR:B3VJ:HMPO:LNPQ:KD5S:YKFQ:76VN:IANZ:7TFV:ZBF4:BYJO
WARNING: No swap limit support
kubectl
kubectl cluster-info
Kubernetes master is running at https://203.0.113.141
KubeDNS is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/kube-dns/proxy
kubernetes-dashboard is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/kubernetes-dashboard/proxy
Grafana is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/monitoring-grafana/proxy
Heapster is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/monitoring-heapster/proxy
InfluxDB is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/monitoring-influxdb/proxy