基于Wsl Ubuntu20.04上安装Kuberneters
前言
win10可谓windows系统对开发人员最友好的版本了,linux命令行加win的桌面系统,强强联合,正因为这个Linux子系统,让本地测试环境搭建与开发起飞. 下面就针对在wsl2下面的ubuntu20.04上面安装k8s开发环境做点说明. 创建本地k8s开发环境,主要是通过kind来实现
kind 安装
kind（Kubernetes IN Docker） 是一个基于 docker 构建 Kubernetes 集群的工具，非常适合用来在本地搭建基于 Kubernetes 的开发/测试环境。所以在安装kind前,最好把wsl,docker,国内镜像这些前置工作准备好. 通过 https://github.com/kubernetes-sigs/kind/releases/latest 获取最新的 release，根据自己的系统类型选择相应的系统 release，下载 release 之后重命名为 kind（Windows 系统 release 重命名为 kind.exe)，然后将其放在某一个目录下，并要确保这个目录在系统 PATH 中以方便的使用，可以放在 usr/bin 目录下（默认已经在系统 PATH 中），linux 系统中可能需要配置文件权限
$ sudo chmod +x kind
or
需要本地有golang环境,并且GOPATH/bin在PATH中,如果不在,需要 export PATH="$(go env GOPATH)/bin:${PATH}"
$ GO111MODULE=on go get sigs.k8s.io/kind@v0.10.0
拉取镜像 kindest/node
最新的 v0.20.2/v0.19.7 我测试时有bug,后来测试到v.19.1是正常的,所以这里我就采用了v1.19.1
$ docker pull kindest/node:v1.19.1
操作 Kuberneters 集群
使用 kind 创建 Kubernetes 集群非常的方便，只需要一行命令即可
$ kind create cluster #这里默认是使用kind的默认最新版本,我测试新版本有问题,故我测试的时候指定了下面的版本
or 特定版本
$ kind create cluster --image kindest/node:v1.19.1
成功的返回
Creating cluster "kind" ...
✓ Ensuring node image (kindest/node:v1.19.1) 🖼
✓ Preparing nodes 📦
✓ Writing configuration 📜
✓ Starting control-plane 🕹️
✓ Installing CNI 🔌
✓ Installing StorageClass 💾
Set kubectl context to "kind-kind"
You can now use your cluster with:
kubectl cluster-info --context kind-kind
Have a question, bug, or feature request? Let us know! https://kind.sigs.k8s.io/#community 🙂
删除集群
$ kind delete cluster
默认集群名称是 “kind”，如果要创建多个或者指定集群名称，可以指定 name 参数：
$ kind create cluster --name=k8s-cluster1
删除集群
kind delete cluster --name=k8s-cluster1
kubectl 安装
$ sudo apt update
$ sudo apt upgrade
$ sudo apt install -y apt-transport-https
$ curl -s https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | sudo apt-key add -
$ echo "deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main" | sudo tee -a /etc/apt/sources.list.d/kubernetes.list
$ sudo apt update
$ sudo apt install -y kubelet kubeadm kubectl
创建集群成功之后，就可以使用 kubectl 来操作 k8s 集群了
查看集群信息
$ kubectl get all --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system pod/coredns-f9fd979d6-sg289 1/1 Running 0 6m43s
kube-system pod/coredns-f9fd979d6-wjksf 1/1 Running 0 6m43s
kube-system pod/etcd-kind-control-plane 1/1 Running 0 6m50s
kube-system pod/kindnet-9jv9s 1/1 Running 0 6m44s
kube-system pod/kube-apiserver-kind-control-plane 1/1 Running 0 6m50s
kube-system pod/kube-controller-manager-kind-control-plane 1/1 Running 0 6m50s
kube-system pod/kube-proxy-5fmtx 1/1 Running 0 6m44s
kube-system pod/kube-scheduler-kind-control-plane 1/1 Running 0 6m50s
local-path-storage pod/local-path-provisioner-78776bfc44-fqm22 1/1 Running 0 6m43s
NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
default service/kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 7m3s
kube-system service/kube-dns ClusterIP 10.96.0.10 <none> 53/UDP,53/TCP,9153/TCP 7m2s
NAMESPACE NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
kube-system daemonset.apps/kindnet 1 1 1 1 1 <none> 7m1s
kube-system daemonset.apps/kube-proxy 1 1 1 1 1 kubernetes.io/os=linux 7m2s
NAMESPACE NAME READY UP-TO-DATE AVAILABLE AGE
kube-system deployment.apps/coredns 2/2 2 2 7m2s
local-path-storage deployment.apps/local-path-provisioner 1/1 1 1 7m1s
NAMESPACE NAME DESIRED CURRENT READY AGE
kube-system replicaset.apps/coredns-f9fd979d6 2 2 2 6m44s
local-path-storage replicaset.apps/local-path-provisioner-78776bfc44 1 1 1 6m44s
查看容器内部容器列表
获取这个容器内部的运行容器列表，这个容器内部通过 crictl 来操作容器，可以参考 https://github.com/kubernetes-sigs/cri-tools
$ docker exec kind-control-plane crictl ps
CONTAINER IMAGE CREATED STATE NAME ATTEMPT POD ID
03496f54d192d bfe3a36ebd252 8 minutes ago Running coredns 0 e170783fe655f
f2874e6f6eba7 bfe3a36ebd252 8 minutes ago Running coredns 0 f2d4a12df3a93
178d427a80a68 e422121c9c5f9 8 minutes ago Running local-path-provisioner 0 1600c76f4bc03
d019fbe2d252a b77790820d015 8 minutes ago Running kindnet-cni 0 f94e9d590d2ea
d8bc5b5bf64ea 47e289e332426 8 minutes ago Running kube-proxy 0 84ff49f7a0532
a2e91623770af 0369cf4303ffd 8 minutes ago Running etcd 0 d680864effc4a
753ad7868585a 7dafbafe72c90 8 minutes ago Running kube-controller-manager 0 c0325d328da3d
a246720f380f2 4d648fc900179 8 minutes ago Running kube-scheduler 0 af718164f1b76
7a499ab5ae3f2 8cba89a89aaa8 8 minutes ago Running kube-apiserver 0 735ec1dcd8891
kind 创建集群成功之后，就可以向 kubernetes 集群部署资源了，开始你的 Kubernetes 之旅吧~
Kind：创建仪表板
$ kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.0/aio/deploy/recommended.yaml
执行上面命令如果碰到了如下情况,就到github上面看源代码,自己本地建一个来使用.
The connection to the server raw.githubusercontent.com was refused - did you specify the right host or port?
新建一个用户kind放脚本的目录
$ mkdir ~/kind && cd ~/kind && touch recommended.yaml
# 把内容复制到recommended.yaml中,然后执行下面的命令
$ kubectl apply -f recommended.yaml
namespace/kubernetes-dashboard created
serviceaccount/kubernetes-dashboard created
service/kubernetes-dashboard created
secret/kubernetes-dashboard-certs created
secret/kubernetes-dashboard-csrf created
secret/kubernetes-dashboard-key-holder created
configmap/kubernetes-dashboard-settings created
role.rbac.authorization.k8s.io/kubernetes-dashboard created
clusterrole.rbac.authorization.k8s.io/kubernetes-dashboard created
rolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created
clusterrolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created
deployment.apps/kubernetes-dashboard created
service/dashboard-metrics-scraper created
deployment.apps/dashboard-metrics-scraper created
创建dashboard-adminuser.yaml
$ cat > dashboard-adminuser.yaml << EOF
apiVersion: v1
kind: ServiceAccount
metadata:
name: admin-user
namespace: kubernetes-dashboard
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: admin-user
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
subjects:
- kind: ServiceAccount
name: admin-user
namespace: kubernetes-dashboard
EOF
创建登录用户
$ kubectl apply -f dashboard-adminuser.yaml
说明：上面创建了一个叫admin-user的服务账号，并放在kubernetes-dashboard 命名空间下，并将cluster-admin角色绑定到admin-user账户，这样admin-user账户就有了管理员的权限。默认情况下，kubeadm创建集群时已经创建了cluster-admin角色，我们直接绑定即可。
查看admin-user账户的token
$ kubectl -n kubernetes-dashboard describe secret $(kubectl -n kubernetes-dashboard get secret | grep admin-user | awk '{print $1}')
创建本地代理
$ kubectl proxy
现在即可使用浏览器打开
http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/
输入刚刚获取到的token,点登录,即可进入.
安装helm
$ curl https://baltocdn.com/helm/signing.asc | sudo apt-key add -
$ sudo apt install apt-transport-https --yes
$ echo "deb https://baltocdn.com/helm/stable/debian/ all main" | sudo tee /etc/apt/sources.list.d/helm-stable-debian.list
$ sudo apt update
$ sudo apt install helm
$ helm version
version.BuildInfo{Version:"v3.5.2", GitCommit:"167aac70832d3a384f65f9745335e9fb40169dc2", GitTreeState:"dirty", GoVersion:"go1.15.7"}
安装ingress-nginx
这里会用到k8s.gcr.io的docker镜像，请用中科大镜像加速
$ helm repo add ingress-nginx https://kubernetes.github.io/ingress-nginx
$ helm repo update
$ helm install ingress-nginx ingress-nginx/ingress-nginx
结语
至此，k8s的本地开发环境就创建好了，后续就是往里加东西了。