使用 kubeadm 部署 Kubernetes 1.29

当前 Kubernetes 已经更新到了 v1.29,使用 kubeadm 来部署一个三节点的集群。

集群的规划

集群使用三台虚拟机,网络和角色信息如下:

主机名网络操作系统角色
master01.example.com192.168.121.61/24CentOS9SMaster
worker01.example.com192.168.121.87/24CentOS9SWorker
worker02.example.com192.168.121.29/24CentOS9SWorker

准备阶段

在具体部署之前需要对虚拟机做相应的基础的配置。

系统基本配置

首先节点之间应互相能够解析主机名,在不具备 DNS 的前提下,可修改 /etc/hosts 文件:

192.168.121.61  master01.example.com master01
192.168.121.87  worker01.example.com worker01
192.168.121.29  worker02.example.com worker02

接下来需要禁用 SELinux,在 9 版本中 disable SELinux 略有不同:

sudo setenforce 0
sudo grubby --update-kernel ALL --args selinux=0

随后需要防火墙放行相应的端口 ports and protocols,或者关闭主机防火墙:

sudo systemctl disable --now firewalld

启用 ipvs 支持

ipvs 已经加入了内核,为 kube-proxy 开启 ipvs 的前提需要加载以下的内核模块:

cat >> /etc/modules-load.d/ipvs.conf<<EOF
ip_vs
ip_vs_rr
ip_vs_wrr
ip_vs_sh
nf_conntrack_ipv4
EOF

手动加载模块:

modprobe ip_vs
modprobe ip_vs_rr
modprobe ip_vs_wrr
modprobe ip_vs_sh
modprobe nf_conntrack_ipv4

各个节点还需安装 ipset ,为了便于查看 ipvs 的代理规则,最好也安装 ipvsadm

dnf install -y ipset ipvsadm

安装容器运行时

容器运行时有很多种,这里选择安装 CRI-O。

添加 overlaybr_netfilter 内核模块到 /etc/modules-load.d/crio.conf 中:

cat >>/etc/modules-load.d/crio.conf<<EOF
overlay
br_netfilter
EOF

手动加载内核模块:

modprobe overlay
modprobe br_netfilter

overlay 模块:用于支持 overlay 文件系统,被很多容器运行时包括 CRI-O 依赖。overlay 文件系统允许通过在彼此之上创建层来允许有效利用存储空间。这意味着多个容器可以共享基础镜像,同时拥有自己的可写顶层。
br_netfilter 模块:用于桥接网络的网络地址转换 (NAT) 的 iptables 规则需要该模块。桥接网络是将多个容器连接到单个网络中的一种方式。通过使用桥接网络,网络中的所有容器都可以相互通信以及与外界通信。

为容器提供网络功能:

cat >>/etc/sysctl.d/kubernetes.conf<<EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables  = 1
net.ipv4.ip_forward                 = 1
EOF

用于 Kubernetes 和 CRI-O 正常工作的重要内核参数:

  • net.bridge.bridge-nf-call-ip6tables = 1net.bridge.bridge-nf-call-iptables = 1 使内核能够使用桥接网络在容器之间转发网络流量。Kubernetes 和 CRI-O 使用桥接网络为给定主机上的所有容器创建单个网络接口。
  • net.ipv4.ip_forward 启用 IP 转发,允许数据包从一个网络接口转发到另一个网络接口。Kubernetes 需要在集群中的不同 Pod 之间路由流量。

使用 sysctl 使内核参数生效:

sysctl --system

添加 Kubernetes 源:

cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes 
baseurl=https://pkgs.k8s.io/core:/stable:/v1.29/rpm/ 
enabled=1 
gpgcheck=1 
gpgkey=https://pkgs.k8s.io/core:/stable:/v1.29/rpm/repodata/repomd.xml.key 
exclude=kubelet kubeadm kubectl cri-tools kubernetes-cni EOF

添加 CRI-O 源:

cat <<EOF | tee /etc/yum.repos.d/cri-o.repo
[cri-o]
name=CRI-O 
baseurl=https://pkgs.k8s.io/addons:/cri-o:/$PROJECT_PATH/rpm/ 
enabled=1 
gpgcheck=1 
gpgkey=https://pkgs.k8s.io/addons:/crio:/$PROJECT_PATH/rpm/repodata/repomd.xml.key 
EOF

安装依赖包从官方源:

dnf install -y container-selinux

安装 kubeadm kubelet 和 cri-o :

dnf install -y cri-o kubelet kubeadm kubectl

修改 CRI-O 使用指定的 pause image,编辑 /etc/crio/crio.conf.d/10-crio.conf :

[crio.image]
signature_policy = "/etc/crio/policy.json"
pause_image="registry.aliyuncs.com/google_containers/pause:3.9"
[crio.runtime]
default_runtime = "crun"
[crio.runtime.runtimes.crun]
runtime_path = "/usr/bin/crio-crun"
monitor_path = "/usr/bin/crio-conmon"
allowed_annotations = [ "io.containers.trace-syscall", ]
[crio.runtime.runtimes.runc]
runtime_path = "/usr/bin/crio-runc" monitor_path = "/usr/bin/crio-conmon"

启动 CRI-O:

systemctl enable --now cri-o.service

安装 crictl 工具:

wget https://github.com/kubernetes-sigs/cri-tools/releases/download/v1.29.0/crictl-v1.29.0-linux-amd64.tar.gz

tar -xzvf crictl-v1.29.0-linux-amd64.tar.gz
install -m 755 crictl /usr/local/bin/crictl

使用 crictl 对容器运行时进行测试:

crictl --runtime-endpoint=unix:///var/run/crio/crio.sock version
Version:  0.1.0
RuntimeName:  cri-o
RuntimeVersion:  1.29.0
RuntimeApiVersion:  v1

使用 kubeadm 部署 Kubernetes

当前各个节点已经安装好了 kubeadmkubelet

使用 kubelet --help 获取 kubelet 命令行参数,可以看到大量的参数都处于了 DEPRECATED ,官方推荐使用 --config 指定运行配置文件,在配置文件中指定原先的参数。

在 1.22 版本之前,Swap 必须禁用,否则 kubelet 将无法启动,从 1.22 开始引入了 NodeSwap 功能,可以通过在启用了 NodeSwap feature gate 在节点上启用交换内存,此外必须禁用 failSwapon 配置。

可以配置 memorySwap.swapBehavior 以定义节点使用 swap 的方式:

memorySwap:
  swapBehavior: UnlimitedSwap

swapBehavior 可用的参数有:

  • UnlimitedSwap (默认):Kubernetes 工作负载可以使用它们请求的所有交换内容,最多达到系统限制。
  • LimitedSwap:Kubernetes 工作负载对交换内容的利用受到限制。只允许使用 Burstable QoS(可突发 QoS)的 Pod 使用 Swap,如果没有为 memorySwap 定义配置,且启用了 NodeSwap 特性,kubelet 将默认应用与 UnlimitedSwap 设置相同的行为。

使用 kubeadm init 初始化集群

使用 kubeadm config print init-defaults --component-configs KubeletConfiguration 可以打印集群初始化默认使用的配置。

从默认的配置中,使用 imageRepository 在集群初始化时拉取所需镜像,可以修改为国内镜像仓库地址。
同时设置 failSwapOnfalseKubeProxyConfigurationmodeipvs

创建 kubeadm.yaml 配置文件:

apiVersion: kubeadm.k8s.io/v1beta3
kind: InitConfiguration
localAPIEndpoint:
  advertiseAddress: 192.168.121.61
  bindPort: 6443
nodeRegistration:
  criSocket: unix:///var/run/crio/crio.sock
  taints:
  - effect: PreferNoSchedule
    key: node-role.kubernetes.io/master
---
apiVersion: kubeadm.k8s.io/v1beta3
kind: ClusterConfiguration
kubernetesVersion: 1.29.0
imageRepository: registry.aliyuncs.com/google_containers
networking:
  podSubnet: 10.244.0.0/16
---
apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
cgroupDriver: systemd
failSwapOn: false
---
apiVersion: kubeproxy.config.k8s.io/v1alpha1
kind: KubeProxyConfiguration
mode: ipvs

使用 kubeadm config images list --config kubeadm.yaml 列出所需的 image:

kubeadm config images list --config kubeadm.yaml 
registry.aliyuncs.com/google_containers/kube-apiserver:v1.29.0
registry.aliyuncs.com/google_containers/kube-controller-manager:v1.29.0
registry.aliyuncs.com/google_containers/kube-scheduler:v1.29.0
registry.aliyuncs.com/google_containers/kube-proxy:v1.29.0
registry.aliyuncs.com/google_containers/coredns:v1.11.1
registry.aliyuncs.com/google_containers/pause:3.9
registry.aliyuncs.com/google_containers/etcd:3.5.10-0

在各个节点上使用 kubeadm config images pull --config kubeadm.yaml 预先拉取 image :

kubeadm config images pull --config kubeadm.yaml 
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-apiserver:v1.29.0
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-controller-manager:v1.29.0
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-scheduler:v1.29.0
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-proxy:v1.29.0
[config/images] Pulled registry.aliyuncs.com/google_containers/coredns:v1.11.1
[config/images] Pulled registry.aliyuncs.com/google_containers/pause:3.9
[config/images] Pulled registry.aliyuncs.com/google_containers/etcd:3.5.10-0

选择 master01 作为 Master Node,执行 kubeadm init 来初始化集群:

kubeadm init --config kubeadm.yaml

bootstrap 的过程:

[kubeconfig] Using kubeconfig folder "/etc/kubernetes"
[kubeconfig] Writing "admin.conf" kubeconfig file
[kubeconfig] Writing "super-admin.conf" kubeconfig file
[kubeconfig] Writing "kubelet.conf" kubeconfig file
[kubeconfig] Writing "controller-manager.conf" kubeconfig file
[kubeconfig] Writing "scheduler.conf" kubeconfig file
[etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
[control-plane] Using manifest folder "/etc/kubernetes/manifests"
[control-plane] Creating static Pod manifest for "kube-apiserver"
[control-plane] Creating static Pod manifest for "kube-controller-manager"
[control-plane] Creating static Pod manifest for "kube-scheduler"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Starting the kubelet
[wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s
[apiclient] All control plane components are healthy after 4.001865 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --upload-certs
[mark-control-plane] Marking the node master01.example.com as control-plane by adding the labels: [node-role.kubernetes.io/control-plane node.kubernetes.io/exclude-from-external-load-balancers]
[mark-control-plane] Marking the node master01.example.com as control-plane by adding the taints [node-role.kubernetes.io/master:PreferNoSchedule]
[bootstrap-token] Using token: 8qz9xg.nd55zi0uq9i4iy61
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] Configured RBAC rules to allow Node Bootstrap tokens to get nodes
[bootstrap-token] Configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
[bootstrap-token] Configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
[bootstrap-token] Configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
[bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
[kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxy

Your Kubernetes control-plane has initialized successfully!

To start using your cluster, you need to run the following as a regular user:

  mkdir -p $HOME/.kube
  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
  sudo chown $(id -u):$(id -g) $HOME/.kube/config

Alternatively, if you are the root user, you can run:

  export KUBECONFIG=/etc/kubernetes/admin.conf

You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
  https://kubernetes.io/docs/concepts/cluster-administration/addons/

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join 192.168.121.61:6443 --token 8qz9xg.nd55zi0uq9i4iy61 \
        --discovery-token-ca-cert-hash sha256:06398adc59682b72540fcddd6cda78b53df8fc2b5e1c5d08daad69495f377300

根据输出的内容基本上可以看出手动初始化安装一个 Kubernetes 集群所需要的关键步骤。 其中有以下关键内容:
[preflight] 拉取相关 image
[cert] 生成相关证书
[kubeconfig] 生成相关 kubeconfig 文件
[etcd] 使用 /etc/kubernetes/manifests 中的文件创建静态 etcd Pod
[control-plane] 使用 /etc/kubernetes/manifests 中的文件创建 kube-apiserver kube-controller-manager kube-scheduler 的静态 Pod
[bootstrap-token] 生成 token,用于后续使用 kubeadm join 使用
[addons] 安装基本的插件,CoreDNS kube-proxy

以下的命令是配置常规用户如何访问集群:

mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

如果是 root 用户的话,可以直接通过环境变量的方式进行访问:

export KUBECONFIG=/etc/kubernetes/admin.conf

验证集群组件的健康状态:

kubectl get cs
Warning: v1 ComponentStatus is deprecated in v1.19+
NAME                 STATUS    MESSAGE   ERROR
controller-manager   Healthy   ok        
scheduler            Healthy   ok        
etcd-0               Healthy   ok

安装包管理器 helm

Helm 是 Kubernetes 常用的包管理器。

wget https://get.helm.sh/helm-v3.13.3-linux-amd64.tar.gz
tar xzvf helm-v3.13.3-linux-amd64.tar.gz
sudo install -m 755 linux-amd64/helm /usr/local/bin/helm

部署 Pod Network 组件 Calico

选择 Calico 作为 Kubernetes 的 Pod 网络组件,使用 helm 在集群中安装 Calico。

下载 tigera-operator 的 helm chart:

wget https://github.com/projectcalico/calico/releases/download/v3.27.0/tigera-operator-v3.27.0.tgz

使用 helm 安装 calico:

helm install calico tigera-operator-v3.27.0.tgz -n kube-system --create-namespace 
NAME: calico
LAST DEPLOYED: Fri Feb  2 08:01:17 2024
NAMESPACE: kube-system
STATUS: deployed
REVISION: 1
TEST SUITE: None

确认所有的 Pod 处于 runing 的状态:

kubectl get pods -n kube-system | grep tigera-operator            [0/1966]
tigera-operator-55585899bf-gknl8               1/1     Running   0          3m48s               
[vagrant@master01 ~]$ kubectl get pods -n calico-system                                         
NAME                                       READY   STATUS    RESTARTS   AGE                     
calico-kube-controllers-7974f5dc8b-g8v69   1/1     Running   0          3m43s                   
calico-node-x8xt9                          1/1     Running   0          3m44s
calico-typha-58bf4f4fc5-m7hk9              1/1     Running   0          3m44s
csi-node-driver-r4f7r                      2/2     Running   0          3m44s

calicoctl 安装为 kubectl 的插件:

curl -o kubectl-calico -O -L  "https://github.com/projectcalico/calico/releases/download/v3.27.0/calicoctl-linux-amd64"

sudo install -m 755 kubectl-calico /usr/local/bin/kubectl-calico

验证插件是否正常工作:

kubectl calico -h

验证 Kubernetes DNS 是否可用

进入到一个临时 Pod 中:

kubectl run curl --image=radial/busyboxplus:curl -it

执行 nslookup 命令能返回正确的解析:

[ root@curl:/ ]$ nslookup kubernetes.default
Server:    10.96.0.10
Address 1: 10.96.0.10 kube-dns.kube-system.svc.cluster.local

Name:      kubernetes.default
Address 1: 10.96.0.1 kubernetes.default.svc.cluster.local

如果验证失败的话,尝试运行以下命令来清理防火墙:

iptables -F && iptables -t nat -F && iptables -t mangle -F && iptables -X

向 Kubernetes 集群中添加节点

使用下面命令生成 kubeadm join 所需的 token:

kubeadm token create --print-join-command
kubeadm join 192.168.121.61:6443 --token jryd3e.qor9ctw2fnv6zzjo --discovery-token-ca-cert-hash sha256:06398adc59682b72540fcddd6cda78b53df8fc2b5e1c5d08daad69495f377300

在 worker01 和 worker02 上执行 kubeadm join 命令:

kubeadm join 192.168.121.61:6443 --token jryd3e.qor9ctw2fnv6zzjo --discovery-token-ca-cert-hash sha256:06398adc59682b72540fcddd6cda78b53df8fc2b5e1c5d08daad69495f377300

验证集群节点已加入,且 calico 相关的 Pod 已经运行在了各个节点:

[vagrant@master01 ~]$ kubectl get nodes
NAME                   STATUS   ROLES           AGE    VERSION
master01.example.com   Ready    control-plane   117m   v1.29.1
worker01.example.com   Ready    <none>          37s    v1.29.1
worker02.example.com   Ready    <none>          12s    v1.29.1
[vagrant@master01 ~]$ kubectl get pod -n calico-system -o wide
NAME                                       READY   STATUS    RESTARTS   AGE     IP               NODE                   NOMINATED NODE   READINESS GATES
calico-kube-controllers-7974f5dc8b-g8v69   1/1     Running   0          55m     10.85.0.5        master01.example.com   <none>           <none>
calico-node-fxl4f                          1/1     Running   0          4m46s   192.168.121.87   worker01.example.com   <none>           <none>
calico-node-nvfpw                          1/1     Running   0          4m21s   192.168.121.29   worker02.example.com   <none>           <none>
calico-node-x8xt9                          1/1     Running   0          55m     192.168.121.61   master01.example.com   <none>           <none>
calico-typha-58bf4f4fc5-j9nxk              1/1     Running   0          4m16s   192.168.121.87   worker01.example.com   <none>           <none>
calico-typha-58bf4f4fc5-m7hk9              1/1     Running   0          55m     192.168.121.61   master01.example.com   <none>           <none>
csi-node-driver-94tzw                      2/2     Running   0          4m21s   10.85.0.2        worker02.example.com   <none>           <none>
csi-node-driver-gb9tg                      2/2     Running   0          4m46s   10.85.0.2        worker01.example.com   <none>           <none>
csi-node-driver-r4f7r                      2/2     Running   0          55m     10.85.0.4        master01.example.com   <none>           <none>

Kubernetes 常用组件部署

安装完集群后,在 Kubernetes 最常用的组件是 ingress-nginxdashboard

使用 Helm 部署 ingress-nginx

为了便于将集群中的服务暴露到集群外部,需要使用 Ingress。
使用 Helm 将 ingress-nginx 部署到 Kubernetes 上。
Nginx Ingress Controller 将被部署到 Kubernetes 的边缘节点上。

将 worker01 设为边缘节点,打上标签:

kubectl label node worker01.example.com node-role.kubernetes.io/edge=

下载 ingress-nginx 的 helm chart:

wget https://github.com/kubernetes/ingress-nginx/releases/download/helm-chart-4.9.0/ingress-nginx-4.9.0.tgz

查看该 chart 可自定义的配置:

helm show values ingress-nginx-4.9.0.tgz

ingress-nginx 进行配置的自定义:

controller:
  ingressClassResource:
    name: nginx
    enabled: true
    default: true
    controllerValue: "k8s.io/ingress-nginx"
  admissionWebhooks:
    enabled: false
  replicaCount: 1
  image:
    registry: docker.io
    image: unreachableg/registry.k8s.io_ingress-nginx_controller
    tag: "v1.9.5"
    digest: sha256:bdc54c3e73dcec374857456559ae5757e8920174483882b9e8ff1a9052f96a35
  hostNetwork: true
  nodeSelector:
    node-role.kubernetes.io/edge: ''
  affinity:
    podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchExpressions:
            - key: app
              operator: In
              values:
              - nginx-ingress
            - key: component
              operator: In
              values:
              - controller
          topologyKey: kubernetes.io/hostname
  tolerations:
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: NoSchedule
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: PreferNoSchedule

将 image 地址指向 docker.io 因为默认的 registry.k8s.io 无法访问。
设置 nginx ingress controller 使用宿主机网络没有指定 externalIP

检查 Pod 的运行状态然后访问 worker01 的 IP:

kubectl get pod -n ingress-nginx
NAME                                        READY   STATUS    RESTARTS   AGE
ingress-nginx-controller-6445445cb8-s4h84   1/1     Running   0          2m53s

curl http://192.168.121.87
<html>
<head><title>404 Not Found</title></head>
<body>
<center><h1>404 Not Found</h1></center>
<hr><center>nginx</center>
</body>
</html>

返回 404 即部署完成。

使用 Helm 部署 dashboard

首先部署 metrics-server

wget https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.6.4/components.yaml

components.yaml 中的 image 修改成 docker.io/unreachableg/k8s.gcr.io_metrics-server_metrics-server:v0.6.4
在容器启动参数中添加 --kubelet-insecure-tls

通过 kubectl apply 创建资源:

kubectl apply -f components.yaml

当 Pod 起来后就可以查看集群和 Pod 的 metrics 的信息:

[vagrant@master01 ~]$ kubectl get pod -n kube-system | grep metrics
metrics-server-7d686f4d9d-fvhrk                1/1     Running   0          81s
[vagrant@master01 ~]$ kubectl top node
NAME                   CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%   
master01.example.com   69m          1%     2347Mi          30%       
worker01.example.com   12m          0%     1002Mi          13%       
worker02.example.com   15m          0%     871Mi           11% 

[vagrant@master01 ~]$ kubectl top pod -n kube-system
NAME                                           CPU(cores)   MEMORY(bytes)   
coredns-857d9ff4c9-2sbc2                       1m           22Mi      
coredns-857d9ff4c9-88j99                       1m           76Mi        
etcd-master01.example.com                      6m           122Mi      
kube-apiserver-master01.example.com            21m          498Mi       
kube-controller-manager-master01.example.com   4m           167Mi      
kube-proxy-9p9v8                               3m           80Mi       
kube-proxy-bnw6v                               4m           82Mi        
kube-proxy-l2btg                               3m           83Mi        
kube-scheduler-master01.example.com            1m           75Mi        
metrics-server-7d686f4d9d-fvhrk                1m           27Mi
tigera-operator-55585899bf-gknl8               1m           105Mi

k8s dashboard的v3版本现在默认使用cert-managernginx-ingress-controller

安装 cert-manager

wget https://github.com/cert-manager/cert-manager/releases/download/v1.13.3/cert-manager.yaml

kubectl apply -f cert-manager.yaml

确保 cert-manager 的所有pod启动正常:

kubectl get pods -n cert-manager
NAME                                       READY   STATUS    RESTARTS   AGE
cert-manager-5c9d8879fd-rdk2v              1/1     Running   0          40s
cert-manager-cainjector-6cc9b5f678-ksd29   1/1     Running   0          40s
cert-manager-webhook-7bb7b75848-rfv4r      1/1     Running   0          40s

获取 Dashboard 清单文件:

wget https://raw.githubusercontent.com/kubernetes/dashboard/v3.0.0-alpha0/charts/kubernetes-dashboard.yaml

将 ingress 中的 host 替换想分配给 dashboard 的域名,随后应用清单文件:

kubectl apply -f kubernetes-dashboard.yaml

等待 Dashboard 相关 Pod 正常启动:

kubectl get pod -n kubernetes-dashboard
NAME                                                    READY   STATUS    RESTARTS   AGE
kubernetes-dashboard-api-8586787f7-mkww2                1/1     Running   0          55s
kubernetes-dashboard-metrics-scraper-6959b784dc-cs5xh   1/1     Running   0          55s
kubernetes-dashboard-web-6b6d549b4-68v8n                1/1     Running   0          55s

创建管理员 sa:

kubectl create serviceaccount kube-dashboard-admin-sa -n kube-system
kubectl create clusterrolebinding kube-dashboard-admin-sa \
--clusterrole=cluster-admin --serviceaccount=kube-system:kube-dashboard-admin-sa

创建集群管理员登录 dashboard 所需的 token:

kubectl create token kube-dashboard-admin-sa -n kube-system --duration=87600h

使用上面命令返回的 Token 来登录 dashboard:

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