部署K8S 1.31 (containerd)

原创已于 2024-10-28 16:51:57 修改 · 4.2k 阅读

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#kubernetes #容器 #云原生 #k8s #docker #运维

于 2024-09-22 22:07:30 首次发布

1、基础环境准备

当前国内无法访问docker.hub因此需要提前准备可以访问的镜像仓库

1、设备IP地址规划

名称	IP地址	系统
Master	192.168.110.133	Centos stream8
Slave01	192.168.110.134	Centos stream8
Slave02	192.168.110.135	Centos stream8

2、操作系统要求

# 1、关闭防火墙/SELINUX
ufw status 
ufw disabel

# 2、禁用selinux
sed -ri 's/SELINUX=enforcing/SELINUX=disabled/g' /etc/selinux/config 
setenforce 0

#3、关闭swap分区,K8S在使用CPU和内存为物理内存和CPU，Cgroup相关驱动无法对其进行有效管理
sed -ri 's/.*swap.*/#&/' /etc/fstab
swapoff -a   # 查查是否关闭swap分区

# 4、设置主机名称
vim /etc/hosts
192.168.110.133 Master
192.168.110.134 Slave01
192.168.110.135 Slave02

# 5、同步时间
#查看时区，时间
date
#先查看时区是否正常，不正确则替换为上海时区
timedatectl set-timezone Asia/Shanghai
#安装chrony，联网同步时间
apt install chrony -y && systemctl enable --now chronyd

# 6、配置桥接的IPV4流量传递到iptables的链
cat >> /etc/sysctl.d/k8s.conf <<EOF
net.bridge.bridge-nf-call-ip6tables=1
net.bridge.bridge-nf-call-iptables=1
net.ipv4.ip_forward=1
vm.swappiness=0
EOF
sysctl --system

# 7、服务器之间设置免密登录
ssh-keygen -t rsa
ssh-copy-id -i /root/.ssh/id_rsa.pub root@192.168.110.131
ssh-copy-id -i /root/.ssh/id_rsa.pub root@192.168.110.132

2、使用Kubeadm安装K8s（所有主机）

1、配置内核转发以及网桥过滤

# 创建加载内核模块 (主机启动后自动加载)
cat << EOF | tee /etc/modules-load.d/k8s.conf
overlay
br_netfilter
EOF

# 手动执行，加载模块
modprobe overlay
modprobe br_netfilter

# 查看以及已经加载模块
lsmod | egrep "overlay"
lsmod | egrep "br_netfilter"


# 添加网桥过滤以及内核转发配置文件
cat >> /etc/sysctl.d/k8s.conf <<EOF
net.bridge.bridge-nf-call-ip6tables=1
net.bridge.bridge-nf-call-iptables=1
net.ipv4.ip_forward=1
vm.swappiness=0
EOF

# 加载内核
sysctl --system

2、安装ipset 以及 ipvsadm


apt install ipset ipvsadm -y

cat << EOF | tee /etc/modules-load.d/ipvs.conf
ip_vs
ip_vs_rr
ip_vs_wrr
ip_vs_sh
ip_vs_sh
nf_conntrack
EOF

# 创建模块加载脚本
cat << EOF | tee ipvs.sh
#!/bin/sh
modprobe -- ip_vs
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- ip_conntrack
EOF

# 执行脚本，加载模块
sh ipvs.sh

3、容器运行时与containerd(所有主机)

1、安装containerd(二进制安装)

# 1、安装containerd
wget https://github.com/containerd/containerd/releases/download/v1.7.14/containerd-1.7.14-linux-amd64.tar.gz
tar xvf containerd-1.7.14-linux-amd64.tar.gz
#解压出来一个bin目录,containerd可执行文件都在bin目录里面 
mv bin/* /usr/local/bin/


wget https://github.com/containerd/containerd/releases/download/v1.7.22/cri-containerd-1.7.22-linux-amd64.tar.gz
tar xf cri-containerd-1.7.22-linux-amd64.tar.gz -C /

2、Containerd配置文件修改，并启动containerd

mkdir /etc/containerd
containerd config default > /etc/containerd/config.toml

# 修改配置文件，修改pause版本，1.29以后为3.9
vim /etc/containerd/config.toml
sandbox_image = "registry.k8s.io/pause:3.9"

# 修改镜像仓库地址
sandbox_image = "registry.aliyuncs.com/google_containers/pause:3.9"

# 修改指定内核驱动为Cgroup，139行，修改runc中的配置
[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc.options]
SystemdCgroup = true

#启动containerd
systemctl enabled --now containerd

4、K8S集群部署（所有主机）

1、下载安装文件


sudo apt-get update
# apt-transport-https 可能是一个虚拟包（dummy package）；如果是的话，你可以跳过安装这个包
sudo apt-get install -y apt-transport-https ca-certificates curl gpg

curl -fsSL https://pkgs.k8s.io/core:/stable:/v1.31/deb/Release.key | sudo gpg --dearmor -o /etc/apt/keyrings/kubernetes-apt-keyring.gpg

# 添加kubernetes仓库
echo 'deb [signed-by=/etc/apt/keyrings/kubernetes-apt-keyring.gpg] https://pkgs.k8s.io/core:/stable:/v1.31/deb/ /' | sudo tee /etc/apt/sources.list.d/kubernetes.list
# 镜像仓库
apt-get update && apt-get install -y apt-transport-https
curl -fsSL https://mirrors.aliyun.com/kubernetes-new/core/stable/v1.31/deb/Release.key |
    gpg --dearmor -o /etc/apt/keyrings/kubernetes-apt-keyring.gpg
echo "deb [signed-by=/etc/apt/keyrings/kubernetes-apt-keyring.gpg] https://mirrors.aliyun.com/kubernetes-new/core/stable/v1.31/deb/ /" |
    tee /etc/apt/sources.list.d/kubernetes.list
apt-get update
apt-get install -y kubelet kubeadm kubectl


# 获取版本
apt-cache madison kubeadm
# 安装指定版本
apt install -y kubelet=1.31.0-00 kubeadm=1.31.0-00 kubectl=1.31.0-00
#安装最新版本

# 安装最新版本，并锁定版本
sudo apt-get update
sudo apt-get install -y kubelet kubeadm kubectl
#锁定版本
sudo apt-mark hold kubelet kubeadm kubectl
# 取消版本锁定
sudo apt-mark unhold kubelet kubeadm kubectl

2、配置Kubelet

# 为了实现容器运行时使用cgroupdrive与kubelet使用的cgroup的一致性
vim /etc/default/kubelet
KUBELET_EXTRA_ARGS="--cgroup-driver=systemd"

# 设置kubelet为开机自启动，由于当前没有生成配置文件，集群初始化后自启动
systemctl enable kubelet

3、Master准备初始化配置文件

1、通过kubeadm-config文件在线初始化

# 生成配置文件模板
kubeadm  config print init-defaults > kubeadm-config.yaml

# 修改yaml文件
vim kubeadm-config.yaml
advertiseAddress: 192.168.110.130
name: Master
serviceSubnet: 10.96.0.0/12
podSubnet: 10.244.0.0/16
# 使用阿里云镜像仓库
# imageRepository: registry.aliyuncs.com/google_containers （如果不能直接拉去镜像的）

#查看指定版本的镜像
kubeadm config images list --kubernetes-version=v1.31.0
registry.k8s.io/kube-apiserver:v1.31.1
registry.k8s.io/kube-controller-manager:v1.31.1
registry.k8s.io/kube-scheduler:v1.31.1
registry.k8s.io/kube-proxy:v1.31.1
registry.k8s.io/coredns/coredns:v1.11.3
registry.k8s.io/pause:3.10
registry.k8s.io/etcd:3.5.15-0
# 使用阿里云镜像仓库
kubeadm  config images list --kubernetes-version=v1.31.1 --image-repository=registry.aliyuncs.com/google_containers
registry.aliyuncs.com/google_containers/kube-apiserver:v1.31.1
registry.aliyuncs.com/google_containers/kube-controller-manager:v1.31.1
registry.aliyuncs.com/google_containers/kube-scheduler:v1.31.1
registry.aliyuncs.com/google_containers/kube-proxy:v1.31.1
registry.aliyuncs.com/google_containers/coredns:v1.11.3
registry.aliyuncs.com/google_containers/pause:3.10
registry.aliyuncs.com/google_containers/etcd:3.5.15-0

#下载镜像
kubeadm  config images pull --kubernetes-version=v1.31.1
#下载镜像（指定仓库）
kubeadm  config images pull --kubernetes-version=v1.31.1 --image-repository=registry.aliyuncs.com/google_containers
#crictl /crt images 查看下载的镜像
ctr -n=k8s.io images list

#从国内镜像拉取
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.23.8
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.23.8
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.23.8
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.23.8
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.6
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.5.1-0
docker pull coredns/coredns:1.8.6
#重新打标签
#将拉取下来的images重命名为kubeadm config所需的镜像名字
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.23.8 k8s.gcr.io/kube-apiserver:v1.23.8
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.23.8 k8s.gcr.io/kube-controller-manager:v1.23.8
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.23.8 k8s.gcr.io/kube-scheduler:v1.23.8
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.23.8 k8s.gcr.io/kube-proxy:v1.23.8
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.6 k8s.gcr.io/pause:3.6
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.5.1-0 k8s.gcr.io/etcd:3.5.1-0
docker tag coredns/coredns:1.8.6 k8s.gcr.io/coredns/coredns:v1.8.6

#使用部署文件出书化K8S集群
kubeadm init --config kubeadm-config.yaml --upload-certs --v=9

# 命令初始化集群
kubeadm init --apiserver-advertise-address=192.168.110.137  --image-repository=registry.aliyuncs.com/google_containers --pod-network-cidr=10.244.0.0/16 --service-cidr=10.92.0.0/16  --v=5  # 简化
----------------------------------------------------------------------
kubeadm init --apiserver-advertise-address=192.168.110.133 --control-plane-endpoint=control-plane-endpoint.k8s.local --image-repository=registry.aliyuncs.com/google_containers --pod-network-cidr=10.244.0.0/16 --service-cidr=10.96.0.0/12 --service-dns-domain=k8s.local --upload-certs --v=5 # 完整

然后按照系统提示指导部署集群

2、使用kubeadm init 离线初始化

# 当有本地无法联网时，使用该初始化方式
1、远端主机获取对应K8S版本的包
# 查看K8S版本的组件
kubeadm config images list --kubernetes-version=v1.31.0
registry.k8s.io/kube-apiserver:v1.31.1
registry.k8s.io/kube-controller-manager:v1.31.1
registry.k8s.io/kube-scheduler:v1.31.1
registry.k8s.io/kube-proxy:v1.31.1
registry.k8s.io/coredns/coredns:v1.11.3
registry.k8s.io/pause:3.10
registry.k8s.io/etcd:3.5.15-0

2、拉取镜像
docker pull kube-apiserver:v1.23.8
docker pull kube-controller-manager:v1.23.8
docker pull kube-scheduler:v1.23.8
docker pull kube-proxy:v1.23.8
docker pull pause:3.6
docker pull etcd:3.5.1-0
docker pull coredns/coredns:1.8.6
# 指定国内仓库
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.23.8
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.23.8
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.23.8
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.23.8
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.6
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.5.1-0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containerscoredns/coredns:1.8.6

3、远端主机将镜像保存
docker save -o kube-apiserver-v1.31.1.tar k8s.gcr.io/kube-apiserver:v1.31.1
docker save -o kube-controller-manager-v1.31.1.tar k8s.gcr.io/kube-controller-manager:v1.31.1
docker save -o kube-scheduler-v1.31.1.tar k8s.gcr.io/kube-scheduler:v1.31.1
docker save -o kube-proxy-v1.31.1.tar k8s.gcr.io/kube-proxy:v1.31.1
docker save -o pause-3.6.tar k8s.gcr.io/pause:3.6
docker save -o etcd-3.5.4-0.tar k8s.gcr.io/etcd:3.5.4-0
docker save -o coredns-v1.9.3.tar k8s.gcr.io/coredns/coredns:v1.9.3

4、使用scp或其他方式将tar包同步到本地主机
scp  kube-apiserver-v1.31.1.tar            root@192.168.110.138:/root/
scp  kube-controller-manager-v1.31.1.tar   root@192.168.110.138:/root/
scp  kube-scheduler-v1.31.1.tar            root@192.168.110.138:/root/
scp  kube-proxy-v1.31.1.tar                root@192.168.110.138:/root/
scp  pause-3.6.tar                         root@192.168.110.138:/root/
scp  etcd-3.5.4-0.tar                      root@192.168.110.138:/root/
scp  coredns-v1.9.3.tar                    root@192.168.110.138:/root/

5、本机主机导入镜像
ctr -n=k8s.io images import /path/to/save/kube-apiserver-v1.31.1.tar
ctr -n=k8s.io images import /path/to/save/kube-controller-manager-v1.31.1.tar
ctr -n=k8s.io images import /path/to/save/kube-scheduler-v1.31.1.tar
ctr -n=k8s.io images import /path/to/save/kube-proxy-v1.31.1.tar
ctr -n=k8s.io images import /path/to/save/pause-3.6.tar
ctr -n=k8s.io images import /path/to/save/etcd-3.5.4-0.tar
ctr -n=k8s.io images import /path/to/save/coredns-v1.9.3.tar

6、查看镜像是否导入
ctr -n=k8s.io images list

7、指定初始化文件，进行初始化
kubeadm  config print init-defaults > kubeadm-config.yaml

# 修改yaml文件
vim kubeadm-config.yaml
advertiseAddress: 192.168.110.130
name: Master
serviceSubnet: 10.96.0.0/12
podSubnet: 10.244.0.0/16
controlPlaneEndpoint: "LOAD_BALANCER_DNS:LOAD_BALANCER_PORT"  # 负载均衡配置，按需配置替换为负载均衡器的 DNS 名称或 IP 地址，将 LOAD_BALANCER_PORT 替换为负载均衡器监听的端口（通常是 6443）。
imageRepository: localhost:5000   # 指定本地镜像

kubeadm init --config kubeadm-config.yaml --upload-certs --v=9

# 如果直接使用registry.k8s.io仓库下载，使用命令初始化
kubeadm init --apiserver-advertise-address=192.168.110.137   --pod-network-cidr=10.244.0.0/16 --service-cidr=10.92.0.0/16  --v=5
#如果是使用阿里云registry.aliyuncs.com/google_containers镜像仓库下载
kubeadm init --apiserver-advertise-address=192.168.110.137  --image-repository=registry.aliyuncs.com/google_containers --pod-network-cidr=10.244.0.0/16 --service-cidr=10.92.0.0/16  --v=5

5、部署网络插件

1、在线标准化部署calico

# 1、通过yaml文件部署
wget https://docs.projectcalico.org/manifests/calico.yaml
kubectl apply -f /root/calico.yaml

# 2、查看状态
kubectl get pods -n kube-system

[root@Master01-Centos8 ~]# kubectl get pods -n kube-system
NAME                                       READY   STATUS    RESTARTS   AGE
calico-kube-controllers-b8d8894fb-nmznx    1/1     Running   0          106m
calico-node-fn5q8                          1/1     Running   0          106m
calico-node-fn7rl                          1/1     Running   0          106m
calico-node-tkngk                          1/1     Running   0          106m
coredns-855c4dd65d-66vmm                   1/1     Running   0          42h
coredns-855c4dd65d-9779h                   1/1     Running   0          42h
etcd-master01-centos8                      1/1     Running   0          42h
kube-apiserver-master01-centos8            1/1     Running   0          42h
kube-controller-manager-master01-centos8   1/1     Running   0          42h
kube-proxy-5bprr                           1/1     Running   0          42h
kube-proxy-6dnm2                           1/1     Running   0          42h
kube-proxy-9d8gc                           1/1     Running   0          42h
kube-scheduler-master01-centos8            1/1     Running   0          42h

2、离线标准化部署calico

# 当本地主机无法直接访问互联网时使用
1、远端主机下载calico组件（假设远端主机有docker）
docker pull calico/cni:v3.28.2
docker pull calico/pod2daemon-flexvol:v3.28.2
docker  pull calico/node:v3.28.2
docker  pull calico/kube-controllers:v3.28.2
docker  pull calico/typha:v3.28.2

2、将镜像保存到本地
docker save  -o calico-cni-v3.28.2.tar calico/cni:v3.28.2
docker save  -o calico-pod2daemon-flexvol-v3.28.2.tar calico/pod2daemon-flexvol:v3.28.2
docker save  -o calico-node-v3.28.2.tar calico/node:v3.28.2
docker save  -o calico-kube-controllers-v3.28.2.tar calico/kube-controllers:v3.28.2
docker save  -o calico-typha-v3.28.2.tar calico/typha:v3.28.2

3、将镜像拷贝到本地主机（需要手动导入集群中所有主机）
scp  calico-cni-v3.28.2.tar                   root@192.168.110.138:/root/
scp  calico-pod2daemon-flexvol-v3.28.2.tar    root@192.168.110.138:/root/
scp  calico-node-v3.28.2.tar                  root@192.168.110.138:/root/
scp  calico-kube-controllers-v3.28.2.tar      root@192.168.110.138:/root/
scp  calico-typha-v3.28.2.tar                 root@192.168.110.138:/root/

4、将镜像导入本地主机（需要手动导入集群中所有主机）
ctr -n=k8s.io image import /root/calico-cni-v3.28.2.tar
ctr -n=k8s.io image import /root/calico-pod2daemon-flexvol-v3.28.2.tar
ctr -n=k8s.io image import /root/calico-node-v3.28.2.tar
ctr -n=k8s.io image import /root/calico-kube-controllers-v3.28.2.tar
ctr -n=k8s.io image import /root/calico-typha-v3.28.2.tar

#查看镜像是否导入（所有主机上都执行）
ctr -n=k8s.io images list  | grep calico

5、安装calico（master上执行）
kubectl apply -f /root/calico.yaml

6、查看状态
[root@Master01-Centos8 ~]# kubectl get nodes
NAME               STATUS   ROLES           AGE   VERSION
master01-centos8   Ready    control-plane   42h   v1.31.1
slave01-centos8    Ready    <none>          42h   v1.31.1
slave02-centos8    Ready    <none>          42h   v1.31.1
[root@Master01-Centos8 ~]# kubectl get pods -n kube-system
NAME                                       READY   STATUS    RESTARTS   AGE
calico-kube-controllers-b8d8894fb-nmznx    1/1     Running   0          114m
calico-node-fn5q8                          1/1     Running   0          114m
calico-node-fn7rl                          1/1     Running   0          114m
calico-node-tkngk                          1/1     Running   0          114m
coredns-855c4dd65d-66vmm                   1/1     Running   0          42h
coredns-855c4dd65d-9779h                   1/1     Running   0          42h
etcd-master01-centos8                      1/1     Running   0          42h
kube-apiserver-master01-centos8            1/1     Running   0          42h
kube-controller-manager-master01-centos8   1/1     Running   0          42h
kube-proxy-5bprr                           1/1     Running   0          42h
kube-proxy-6dnm2                           1/1     Running   0          42h
kube-proxy-9d8gc                           1/1     Running   0          42h
kube-scheduler-master01-centos8            1/1     Running   0          42h

在任何节点执行kubectl命令

1、将master节点中 /etc/kubernetes/admin.conf   复制需要运行的主机的 /etc/kubernetes中

2、对应主机上配置环境变量
echo "export KUBECONFIG=/etc/kubernetes/admin.conf" >> ~/.bash_profile

6、安装dashboard

1、安装helm

1、二进制安装helm

wget https://get.helm.sh/helm-v3.16.0-linux-amd64.tar.gz
tar -zxvf helm-v3.16.0-linux-amd64.tar.gz
mv linux-amd64/helm /usr/local/bin/helm
helm repo add bitnami https://charts.bitnami.com/bitnami

2、deb包安装helm

# 确保目录存在
sudo mkdir -p /usr/share/keyrings 
# 下载、转换并保存 GPG 签名文件 
curl https://baltocdn.com/helm/signing.asc | gpg --dearmor | sudo tee /usr/share/keyrings/helm.gpg > /dev/null 
# 验证 GPG 签名 gpg --list-keys --keyring /usr/share/keyrings/helm.gpg

sudo apt-get install apt-transport-https --yes
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/helm.gpg] https://baltocdn.com/helm/stable/debian/ all main" | sudo tee /etc/apt/sources.list.d/helm-stable-debian.list
sudo apt-get update
udo apt-get install helm

3、用脚本安装helm

curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3
 chmod 700 get_helm.sh
./get_helm.sh

2、安装dashboard

# Add kubernetes-dashboard repository
# helm repo add kubernetes-dashboard https://kubernetes.github.io/dashboard/
helm repo add bitnami https://charts.bitnami.com/bitnami  # 建议使用
# Deploy a Helm Release named "kubernetes-dashboard" using the kubernetes-dashboard chart
helm upgrade --install kubernetes-dashboard kubernetes-dashboard/kubernetes-dashboard --create-namespace --namespace kubernetes-dashboard
# 卸载
helm delete kubernetes-dashboard --namespace kubernetes-dashboard

3、使用dashboard

#需要提前确保kubernetes-dashboard命名空间已经存在，确定cluster-admin ClusterRole 存在
# kubectl create namespace kubernetes-dashboard
1、创建ServiceAccount 和一个 ClusterRoleBinding
vim dashboard-adminuser.yaml 
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
# 创建
kubectl apply -f dashboard-adminuser.yaml
# 验证创建情况
kubectl get serviceaccount admin-user -n kubernetes-dashboard 
kubectl get clusterrolebinding admin-user

2、ServiceAccount获取token

# 获取简单的token
kubectl -n kubernetes-dashboard create token admin-user

# 获取长期token，需要修改dashbord-adminuser.yaml文件
apiVersion: v1
kind: Secret
metadata:
  name: admin-user
  namespace: kubernetes-dashboard
  annotations:
    kubernetes.io/service-account.name: "admin-user"   
type: kubernetes.io/service-account-token

7 安装kubesphere

helm upgrade --install -n kubesphere-system   --set global.imageRegistry=swr.cn-southwest-2.myhuaweicloud.com/ks  --create-namespace ks-core https://charts.kubesphere.io/main/ks-core-1.1.1.tgz --debug --wait

# 如果可以直接拉取镜像
helm upgrade --install -n kubesphere-system --create-namespace ks-core https://charts.kubesphere.io/main/ks-core-1.1.1.tgz --debug --wait


# 等待一会儿安装完成
http://192.168.110.137:30880