跳到主要内容

ubuntu20 下 minikube 进行 k8s 单节点的搭建

在线版的 minikube：https://www.katacoda.com/courses/kubernetes

1.安装 kubectl【可能会被墙】​

下载最新版本的 kubectl​

curl -LO https://storage.googleapis.com/kubernetes-release/release/`curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt`/bin/linux/amd64/kubectl

下载指定版本的 kubectl​

curl -LO https://storage.googleapis.com/kubernetes-release/release/v1.16.0/bin/linux/amd64/kubectl

增加可执行权限​

chmod +x ./kubectl

移动到 bin 目录下并测试是否成功​

sudo mv ./kubectl /usr/local/bin/kubectl

kubectl version

image-20210330114118271

2.安装 virtualbox​

sudo apt install virtualbox virtualbox-ext-pack

如下图即成功

image-20210330114239664

3.安装 minikube​

curl -Lo minikube https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64 \
  && chmod +x minikube

sudo mkdir -p /usr/local/bin/
sudo install minikube /usr/local/bin/

检查版本​

minikube version

启动​

minikube start --wait=false

image-20210330114446639

image-20210330115054901

image-20210330143825290

启动成功界面​

image-20210330145507942

4.查询集群信息​

kubectl cluster-info

报错及解决办法

测试集群启动成功​

kubectl get nodes

image-20210330145649418

将容器部署到集群中​

kubectl create deployment first-deployment --image=katacoda/docker-http-server

结果​

deployment.apps/first-deployment created

其中，kubectrl create deployment表示创建具有指定名称的 deployment 部署。

deployment NAME --image=image [--dry-run]

部署的状态可以从运行的 Pods 中被查看

kubectl get pods

image-20210330150711549

什么是 pod

5.启用仪表盘​

minikube addons enable dashboard

通过/opt/kubenretes-dashboard.yaml文件部署 dashboard（可以看到 yaml 是一种很好的部署方式）

apiVersion: v1
kind: Namespace
metadata:
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
    kubernetes.io/minikube-addons: dashboard
  name: kubernetes-dashboard
  selfLink: /api/v1/namespaces/kubernetes-dashboard
spec:
  finalizers:
    - kubernetes
status:
  phase: Active
---
apiVersion: v1
kind: Service
metadata:
  labels:
    app: kubernetes-dashboard
  name: kubernetes-dashboard-katacoda
  namespace: kubernetes-dashboard
spec:
  ports:
    - port: 80
      protocol: TCP
      targetPort: 9090
      nodePort: 30000
  selector:
    k8s-app: kubernetes-dashboard
  type: NodePort

使用 yaml 文件

kubectl apply -f /opt/kubernetes-dashboard.yaml

查看仪表盘的启动状态

kubectl get pods -n kubernetes-dashboard -w

image-20210330180325215

然后访问 30000 端口

image-20210330175626668

6.中文官方的部署和更新教程​

k8s 部署 NodeJs