Ubuntu 22安装K8S 1.26实战-六虎

前言

现在k8s基本上是每一个后端开发人员必学的技能了，为了能够花费最小的本钱学习k8s技能，我用自己的电脑跑了三个虚拟机节点，并希望在这三个节点上装置k8s 1.26版别，部署成一个master两个node的架构来满足最基本的学习；下面咱们就来逐步解说整个装置进程。

虚拟机镜像装置

我在机器上运用的虚拟机软件是VMware Fusion13.0.0，装置的操作体系是ubuntu 22.04，对应的镜像下载链接如下:ubuntu-22.04.2-live-server-amd64.iso。友情提示：能够复制下载链接经过迅雷下载，比浏览器快；

网络设置

在虚拟机软件装置成功后，咱们会单独创立一个网络供里面的实例运用，主要目的就是保证三个节点能够在同一个子网内相互通信，防止网络问题影响后续操作；
在创立好网络后，咱们在每个节点装置的进程中都需求把刚刚创立好的网络装备上去：

最终咱们三个节点的ip分别是：

192.168.56.135 k8s.master1

192.168.56.134 k8s.node1

192.168.56.133 k8s.node2
处理器、内存、磁盘装备

在节点装置进程中，需求修正一下处理器、内存以及磁盘的装备：
装备2个处理器内核以及4G内存
装备40G磁盘大小

修正体系设置

在Ubuntu 22.04装置结束后，咱们需求做以下检查和操作：

检查网络

在每个节点装置成功后，需求经过ping指令检查以下几项：

1.是否能够ping通baidu.com；

2.是否能够ping通宿主机；

3.是否能够ping通子网内其他节点；
检查时区

时区不正确的能够经过下面的指令来修正：
```
sudo tzselect
```
根据体系提示进行挑选即可；

装备ubuntu体系国内源

由于咱们需求在ubuntu 22.04体系上装置k8s，为了防止遭受科学上网的问题，咱们需求装备一下国内的源；

备份默许源：

sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak
sudo rm -rf /etc/apt/sources.list

装备国内源：

sudo vi /etc/apt/sources.list

内容如下：

deb http://mirrors.aliyun.com/ubuntu/ jammy main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ jammy-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ jammy-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ jammy-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ jammy-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy-backports main restricted universe multiverse

更新

修正结束后，需求履行以下指令收效
```
sudo apt-get update
sudo apt-get upgrade
```

禁用 selinux

默许ubuntu下没有这个模块，centos下需求禁用selinux；
禁用swap

临时禁用指令：
```
sudo swapoff -a
```
永久禁用：
```
sudo vi /etc/fstab
```
将最终一行注释后重启体系即收效：
```
#/swap.img    none   swap   sw    0    0
```

修正内核参数：

sudo tee /etc/modules-load.d/containerd.conf <<EOF
overlay
br_netfilter
EOF

sudo modprobe overlay
sudo modprobe br_netfilter

sudo tee /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

运转以下指令使得上述装备收效：

sudo sysctl --system

装置Docker Engine

官方文档在这里ubuntu装置Docker Engine；

卸载旧版别

sudo apt-get remove docker docker-engine docker.io containerd runc

更新apt

sudo apt-get update
sudo apt-get install \
   ca-certificates \
  curl \
   gnupg \
   lsb-release

增加官方GPG key

sudo mkdir -m 0755 -p /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

此处会报正告，可是不妨碍；

装备repository

echo \
 "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
 $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

更新apt索引
```
sudo apt-get update
```

装置Docker Engine

sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

装备阿里云镜像源

需求登陆阿里云：cr.console.aliyun.com/cn-hangzhou…
```
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
 "registry-mirrors": ["阿里云镜像源链接"]
}
EOF
```
不想登陆的小伙伴能够用中国科学技能大学镜像源：docker.mirrors.ustc.edu.cn
设置开机自启动docker
```
sudo systemctl enable docker.service
```
重启docker engine
```
sudo systemctl restart docker.service
```

修正containerd装备

修正这个装备是要害，不然会由于科学上网的问题导致k8s装置出错；比如后续kubeadm init失利，kubeadm join后节点状况一向处于NotReady状况等问题；

备份默许装备

sudo mv /etc/containerd/config.toml /etc/containerd/config.toml.bak

修正装备

sudo vi /etc/containerd/config.toml

装备内容如下：

disabled_plugins = []
imports = []
oom_score = 0
plugin_dir = ""
required_plugins = []
root = "/var/lib/containerd"
state = "/run/containerd"
temp = ""
version = 2

[cgroup]
 path = ""

[debug]
 address = ""
 format = ""
 gid = 0
 level = ""
 uid = 0

[grpc]
 address = "/run/containerd/containerd.sock"
 gid = 0
 max_recv_message_size = 16777216
 max_send_message_size = 16777216
 tcp_address = ""
 tcp_tls_ca = ""
 tcp_tls_cert = ""
 tcp_tls_key = ""
 uid = 0

[metrics]
 address = ""
 grpc_histogram = false

[plugins]

 [plugins."io.containerd.gc.v1.scheduler"]
  deletion_threshold = 0
  mutation_threshold = 100
  pause_threshold = 0.02
  schedule_delay = "0s"
  startup_delay = "100ms"

 [plugins."io.containerd.grpc.v1.cri"]
  device_ownership_from_security_context = false
  disable_apparmor = false
  disable_cgroup = false
  disable_hugetlb_controller = true
  disable_proc_mount = false
  disable_tcp_service = true
  enable_selinux = false
  enable_tls_streaming = false
  enable_unprivileged_icmp = false
  enable_unprivileged_ports = false
  ignore_image_defined_volumes = false
  max_concurrent_downloads = 3
  max_container_log_line_size = 16384
  netns_mounts_under_state_dir = false
  restrict_oom_score_adj = false
  sandbox_image = "registry.aliyuncs.com/google_containers/pause:3.9"
  selinux_category_range = 1024
  stats_collect_period = 10
  stream_idle_timeout = "4h0m0s"
  stream_server_address = "127.0.0.1"
  stream_server_port = "0"
  systemd_cgroup = false
  tolerate_missing_hugetlb_controller = true
  unset_seccomp_profile = ""

  [plugins."io.containerd.grpc.v1.cri".cni]
   bin_dir = "/opt/cni/bin"
   conf_dir = "/etc/cni/net.d"
   conf_template = ""
   ip_pref = ""
   max_conf_num = 1

  [plugins."io.containerd.grpc.v1.cri".containerd]
   default_runtime_name = "runc"
   disable_snapshot_annotations = true
   discard_unpacked_layers = false
   ignore_rdt_not_enabled_errors = false
   no_pivot = false
   snapshotter = "overlayfs"

   [plugins."io.containerd.grpc.v1.cri".containerd.default_runtime]
    base_runtime_spec = ""
    cni_conf_dir = ""
    cni_max_conf_num = 0
    container_annotations = []
    pod_annotations = []
    privileged_without_host_devices = false
    runtime_engine = ""
    runtime_path = ""
    runtime_root = ""
    runtime_type = ""

    [plugins."io.containerd.grpc.v1.cri".containerd.default_runtime.options]

   [plugins."io.containerd.grpc.v1.cri".containerd.runtimes]

    [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc]
     base_runtime_spec = ""
     cni_conf_dir = ""
     cni_max_conf_num = 0
     container_annotations = []
     pod_annotations = []
     privileged_without_host_devices = false
     runtime_engine = ""
     runtime_path = ""
     runtime_root = ""
     runtime_type = "io.containerd.runc.v2"

     [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc.options]
      BinaryName = ""
      CriuImagePath = ""
      CriuPath = ""
      CriuWorkPath = ""
      IoGid = 0
      IoUid = 0
      NoNewKeyring = false
      NoPivotRoot = false
      Root = ""
      ShimCgroup = ""
      SystemdCgroup = true

   [plugins."io.containerd.grpc.v1.cri".containerd.untrusted_workload_runtime]
    base_runtime_spec = ""
    cni_conf_dir = ""
    cni_max_conf_num = 0
    container_annotations = []
    pod_annotations = []
    privileged_without_host_devices = false
    runtime_engine = ""
    runtime_path = ""
    runtime_root = ""
    runtime_type = ""

    [plugins."io.containerd.grpc.v1.cri".containerd.untrusted_workload_runtime.options]

  [plugins."io.containerd.grpc.v1.cri".image_decryption]
   key_model = "node"

  [plugins."io.containerd.grpc.v1.cri".registry]
   config_path = ""

   [plugins."io.containerd.grpc.v1.cri".registry.auths]

   [plugins."io.containerd.grpc.v1.cri".registry.configs]

   [plugins."io.containerd.grpc.v1.cri".registry.headers]

   [plugins."io.containerd.grpc.v1.cri".registry.mirrors]

  [plugins."io.containerd.grpc.v1.cri".x509_key_pair_streaming]
   tls_cert_file = ""
   tls_key_file = ""

 [plugins."io.containerd.internal.v1.opt"]
  path = "/opt/containerd"

 [plugins."io.containerd.internal.v1.restart"]
  interval = "10s"

 [plugins."io.containerd.internal.v1.tracing"]
  sampling_ratio = 1.0
  service_name = "containerd"

 [plugins."io.containerd.metadata.v1.bolt"]
  content_sharing_policy = "shared"

 [plugins."io.containerd.monitor.v1.cgroups"]
  no_prometheus = false

 [plugins."io.containerd.runtime.v1.linux"]
  no_shim = false
  runtime = "runc"
  runtime_root = ""
  shim = "containerd-shim"
  shim_debug = false

 [plugins."io.containerd.runtime.v2.task"]
  platforms = ["linux/amd64"]
  sched_core = false

 [plugins."io.containerd.service.v1.diff-service"]
  default = ["walking"]

 [plugins."io.containerd.service.v1.tasks-service"]
  rdt_config_file = ""

 [plugins."io.containerd.snapshotter.v1.aufs"]
  root_path = ""

 [plugins."io.containerd.snapshotter.v1.btrfs"]
  root_path = ""

 [plugins."io.containerd.snapshotter.v1.devmapper"]
  async_remove = false
  base_image_size = ""
  discard_blocks = false
  fs_options = ""
  fs_type = ""
  pool_name = ""
  root_path = ""

 [plugins."io.containerd.snapshotter.v1.native"]
  root_path = ""

 [plugins."io.containerd.snapshotter.v1.overlayfs"]
  root_path = ""
  upperdir_label = false

 [plugins."io.containerd.snapshotter.v1.zfs"]
  root_path = ""

 [plugins."io.containerd.tracing.processor.v1.otlp"]
  endpoint = ""
  insecure = false
  protocol = ""

[proxy_plugins]

[stream_processors]

 [stream_processors."io.containerd.ocicrypt.decoder.v1.tar"]
  accepts = ["application/vnd.oci.image.layer.v1.tar+encrypted"]
  args = ["--decryption-keys-path", "/etc/containerd/ocicrypt/keys"]
  env = ["OCICRYPT_KEYPROVIDER_CONFIG=/etc/containerd/ocicrypt/ocicrypt_keyprovider.conf"]
  path = "ctd-decoder"
  returns = "application/vnd.oci.image.layer.v1.tar"

 [stream_processors."io.containerd.ocicrypt.decoder.v1.tar.gzip"]
  accepts = ["application/vnd.oci.image.layer.v1.tar+gzip+encrypted"]
  args = ["--decryption-keys-path", "/etc/containerd/ocicrypt/keys"]
  env = ["OCICRYPT_KEYPROVIDER_CONFIG=/etc/containerd/ocicrypt/ocicrypt_keyprovider.conf"]
  path = "ctd-decoder"
  returns = "application/vnd.oci.image.layer.v1.tar+gzip"

[timeouts]
 "io.containerd.timeout.bolt.open" = "0s"
 "io.containerd.timeout.shim.cleanup" = "5s"
 "io.containerd.timeout.shim.load" = "5s"
 "io.containerd.timeout.shim.shutdown" = "3s"
 "io.containerd.timeout.task.state" = "2s"

[ttrpc]
 address = ""
 gid = 0
 uid = 0

重启containerd服务

sudo systemctl enable containerd
sudo systemctl daemon-reload && systemctl restart containerd

装置k8s组件

增加k8s的阿里云yum源

curl -s https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | sudo apt-key add -

sudo apt-add-repository "deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main"

sudo apt-get update

装置k8s组件
```
sudo apt update
sudo apt install -y kubelet=1.26.1-00 kubeadm=1.26.1-00 kubectl=1.26.1-00
sudo apt-mark hold kubelet kubeadm kubectl
```
能够经过apt-cache madison kubelet指令检查kubelet组件的版别；其他组件检查也是相同的指令，把对应方位的组件称号替换即可；

下载k8s镜像

装备k8s镜像列表

sudo kubeadm config images list --kubernetes-version=v1.26.1

下载镜像

sudo docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.26.1
sudo docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.26.1
sudo docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.26.1
sudo docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.26.1
sudo docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.9
sudo docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.5.6-0
sudo docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:v1.9.3

初始化master

生成kubeadm默许装备文件

sudo kubeadm config print init-defaults > kubeadm.yaml

修正默许装备

sudo vi kubeadm.yaml

一共做了四处修正：

1.修正localAPIEndpoint.advertiseAddress为master的ip；

2.修正nodeRegistration.name为当前节点称号；

3.修正imageRepository为国内源：registry.cn-hangzhou.aliyuncs.com/google_containers

4.增加networking.podSubnet，该网络ip规模不能与networking.serviceSubnet抵触，也不能与节点网络192.168.56.0/24相抵触；所以我就设置成192.168.66.0/24；

修正后的内容如下：

apiVersion: kubeadm.k8s.io/v1beta3
bootstrapTokens:
- groups:
  - system:bootstrappers:kubeadm:default-node-token
  token: abcdef.0123456789abcdef
  ttl: 24h0m0s
  usages:
  - signing
  - authentication
kind: InitConfiguration
localAPIEndpoint:
  advertiseAddress: 192.168.56.136
  bindPort: 6443
nodeRegistration:
  criSocket: unix:///var/run/containerd/containerd.sock
  imagePullPolicy: IfNotPresent
  name: k8s-master1
  taints: null
---
apiServer:
  timeoutForControlPlane: 4m0s
apiVersion: kubeadm.k8s.io/v1beta3
certificatesDir: /etc/kubernetes/pki
clusterName: kubernetes
controllerManager: {}
dns: {}
etcd:
  local:
   dataDir: /var/lib/etcd
imageRepository: registry.cn-hangzhou.aliyuncs.com/google_containers
kind: ClusterConfiguration
kubernetesVersion: 1.26.0
networking:
  dnsDomain: cluster.local
  serviceSubnet: 10.96.0.0/12
  podSubnet: 192.168.66.0/24
scheduler: {}

履行初始化操作
```
sudo kubeadm init —config kubeadm.yaml
```
假如在履行init操作中有任何过错，能够运用journalctl -u kubelet检查到的过错日志；失利后咱们能够经过下面的指令重置，不然再次init会存在端口抵触的问题：
```
sudo kubeadm reset
```
初始化成功后，依照提示履行下面指令：
```
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
```
再切换到root用户履行下面指令：
```
export KUBECONFIG=/etc/kubernetes/admin.conf
```
先不要着急kubeadm join其他节点进来，能够切换root用户履行以下指令就能看到节点列表：
```
kubectl get nodes
```
可是此刻的节点状况还是NotReady状况，咱们接下来需求装置网络插件；

给master装置calico网络插件

下载calico.yaml装备
```
curl https://docs.tigera.io/archive/v3.25/manifests/calico.yaml -O
```
假如下载不了的小伙伴能够自己经过上面的链接去浏览器下载，这个是calico 3.25版别的装备；

下载后需求修正其间的一项装备：
- 找到以下装备项：
```
- name: CLUSTER_TYPE
  value: "k8s,bgp"
```
- 在该装备项下增加以下装备：
```
- name: IP_AUTODETECTION_METHOD
  value: "interface=ens.*"
```

装置插件

sudo kubectl apply -f calico.yaml

卸载该插件能够运用下面指令：

sudo kubectl delete -f calico.yaml

calico网络插件装置成功后，master节点的状况将逐步转变成Ready状况；假如状况一向是NotReady，建议重启一下master节点；

接入两个作业节点

咱们在master节点init成功后，会提示能够经过kubeadm join指令把作业节点参与进来。咱们在master节点装置好calico网络插件后，就能够分别在两个作业节点中履行kubeadm join指令了：

sudo kubeadm join --token ......

假如咱们忘记了master中生成的指令，咱们依然能够经过以下指令让master节点重新生成一下kubeadm join指令：

sudo kubeadm token create --print-join-command

咱们在作业节点履行完kubeadm join指令后，需求回到master节点履行以下指令检查作业节点是否逐步转变为Ready状况：

sudo kubectl get nodes

假如作业节点长时间处于NotReady状况，咱们需求检查pods状况：

sudo kubectl get pods -n kube-system

检查方针pod的日志能够运用下面指令：

kubectl describe pod -n kube-system [pod-name]

当所有作业节点都转变成Ready状况后，咱们就能够装置Dashboard了；

装置Dashboard

预备装备文件

能够科学上网的小伙伴能够依照github上的文档来：github.com/kubernetes/…，我挑选的是2.7.0版别；

不能科学上网的小伙伴就依照下面步骤来，在master节点操作：

sudo vi recommended.yaml

文件内容如下：

# Copyright 2017 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

apiVersion: v1
kind: Namespace
metadata:
  name: kubernetes-dashboard

---

apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard

---

kind: Service
apiVersion: v1
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
spec:
  type: NodePort
  ports:
   - port: 443
    targetPort: 8443
  selector:
   k8s-app: kubernetes-dashboard

---

apiVersion: v1
kind: Secret
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard-certs
  namespace: kubernetes-dashboard
type: Opaque

---

apiVersion: v1
kind: Secret
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard-csrf
  namespace: kubernetes-dashboard
type: Opaque
data:
  csrf: ""

---

apiVersion: v1
kind: Secret
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard-key-holder
  namespace: kubernetes-dashboard
type: Opaque

---

kind: ConfigMap
apiVersion: v1
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard-settings
  namespace: kubernetes-dashboard

---

kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
rules:
 # Allow Dashboard to get, update and delete Dashboard exclusive secrets.
  - apiGroups: [""]
   resources: ["secrets"]
   resourceNames: ["kubernetes-dashboard-key-holder", "kubernetes-dashboard-certs", "kubernetes-dashboard-csrf"]
   verbs: ["get", "update", "delete"]
  # Allow Dashboard to get and update 'kubernetes-dashboard-settings' config map.
  - apiGroups: [""]
   resources: ["configmaps"]
   resourceNames: ["kubernetes-dashboard-settings"]
   verbs: ["get", "update"]
  # Allow Dashboard to get metrics.
  - apiGroups: [""]
   resources: ["services"]
   resourceNames: ["heapster", "dashboard-metrics-scraper"]
   verbs: ["proxy"]
  - apiGroups: [""]
   resources: ["services/proxy"]
   resourceNames: ["heapster", "http:heapster:", "https:heapster:", "dashboard-metrics-scraper", "http:dashboard-metrics-scraper"]
   verbs: ["get"]

---

kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
rules:
 # Allow Metrics Scraper to get metrics from the Metrics server
  - apiGroups: ["metrics.k8s.io"]
   resources: ["pods", "nodes"]
   verbs: ["get", "list", "watch"]

---

apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: kubernetes-dashboard
subjects:
  - kind: ServiceAccount
   name: kubernetes-dashboard
   namespace: kubernetes-dashboard

---

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: kubernetes-dashboard
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: kubernetes-dashboard
subjects:
  - kind: ServiceAccount
   name: kubernetes-dashboard
   namespace: kubernetes-dashboard

---

kind: Deployment
apiVersion: apps/v1
metadata:
  labels:
   k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
spec:
  replicas: 1
  revisionHistoryLimit: 10
  selector:
   matchLabels:
    k8s-app: kubernetes-dashboard
  template:
   metadata:
    labels:
     k8s-app: kubernetes-dashboard
   spec:
    securityContext:
     seccompProfile:
      type: RuntimeDefault
    containers:
     - name: kubernetes-dashboard
      image: kubernetesui/dashboard:v2.6.1
      imagePullPolicy: Always
      ports:
       - containerPort: 8443
        protocol: TCP
      args:
       - --auto-generate-certificates
       - --namespace=kubernetes-dashboard
      # Uncomment the following line to manually specify Kubernetes API server Host
      # If not specified, Dashboard will attempt to auto discover the API server and connect
      # to it. Uncomment only if the default does not work.
      # - --apiserver-host=http://my-address:port
      volumeMounts:
       - name: kubernetes-dashboard-certs
        mountPath: /certs
       # Create on-disk volume to store exec logs
       - mountPath: /tmp
        name: tmp-volume
      livenessProbe:
       httpGet:
        scheme: HTTPS
        path: /
        port: 8443
       initialDelaySeconds: 30
       timeoutSeconds: 30
      securityContext:
       allowPrivilegeEscalation: false
       readOnlyRootFilesystem: true
       runAsUser: 1001
       runAsGroup: 2001
    volumes:
     - name: kubernetes-dashboard-certs
      secret:
       secretName: kubernetes-dashboard-certs
     - name: tmp-volume
      emptyDir: {}
    serviceAccountName: kubernetes-dashboard
    nodeSelector:
     "kubernetes.io/os": linux
   # Comment the following tolerations if Dashboard must not be deployed on master
    tolerations:
     - key: node-role.kubernetes.io/master
      effect: NoSchedule

---

kind: Service
apiVersion: v1
metadata:
  labels:
   k8s-app: dashboard-metrics-scraper
  name: dashboard-metrics-scraper
  namespace: kubernetes-dashboard
spec:
  ports:
   - port: 8000
    targetPort: 8000
  selector:
   k8s-app: dashboard-metrics-scraper

---

kind: Deployment
apiVersion: apps/v1
metadata:
  labels:
   k8s-app: dashboard-metrics-scraper
  name: dashboard-metrics-scraper
  namespace: kubernetes-dashboard
spec:
  replicas: 1
  revisionHistoryLimit: 10
  selector:
   matchLabels:
    k8s-app: dashboard-metrics-scraper
  template:
   metadata:
    labels:
     k8s-app: dashboard-metrics-scraper
   spec:
    securityContext:
     seccompProfile:
      type: RuntimeDefault
    containers:
     - name: dashboard-metrics-scraper
      image: kubernetesui/metrics-scraper:v1.0.8
      ports:
       - containerPort: 8000
        protocol: TCP
      livenessProbe:
       httpGet:
        scheme: HTTP
        path: /
        port: 8000
       initialDelaySeconds: 30
       timeoutSeconds: 30
      volumeMounts:
      - mountPath: /tmp
       name: tmp-volume
      securityContext:
       allowPrivilegeEscalation: false
       readOnlyRootFilesystem: true
       runAsUser: 1001
       runAsGroup: 2001
    serviceAccountName: kubernetes-dashboard
    nodeSelector:
     "kubernetes.io/os": linux
   # Comment the following tolerations if Dashboard must not be deployed on master
    tolerations:
     - key: node-role.kubernetes.io/master
      effect: NoSchedule
    volumes:
     - name: tmp-volume
      emptyDir: {}

装置

经过履行以下指令装置Dashboard：
```
sudo kubectl apply -f recommended.yaml
```
此刻就静静等待，直到kubectl get pods -A指令下显示都是Running状况：

kubernetes-dashboard dashboard-metrics-scraper-7bc864c59-tdxdd 1/1 Running 0 5m32s

kubernetes-dashboard kubernetes-dashboard-6ff574dd47-p55zl 1/1 Running 0 5m32s

检查端口

sudo kubectl get svc -n kubernetes-dashboard

浏览器拜访Dashboard

根据上面的指令咱们知道端口后，那么就能够在宿主机的浏览器上拜访Dashboard了；假如chorme浏览器显示该网站不可信，请点击持续前往；
挑选运用Token登录

生成Token

在master节点中履行下面指令创立admin-user：

sudo vi dash.yaml

装备文件内容如下：

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

接下来咱们经过下面指令创立admin-user：

sudo kubectl apply -f dash.yaml

日志如下：

serviceaccount/admin-user created

clusterrolebinding.rbac.authorization.k8s.io/admin-user created

这就表示admin-user账号创立成功，接下来咱们生成该用户的Token：

kubectl -n kubernetes-dashboard create token admin-user

咱们把生成的Token复制好贴进浏览器对应的输入框中并点击登录按钮：

至此，咱们就在ubuntu 22.04上完成了k8s的装置。

本文正在参与「金石方案」

Ubuntu 22安装K8S 1.26实战

前言

虚拟机镜像装置

修正体系设置

装置Docker Engine

修正containerd装备

装置k8s组件

下载k8s镜像

初始化master

给master装置calico网络插件

接入两个作业节点

装置Dashboard

相关文章

Spring Boot业务代码中使用@Transactional事务失效踩坑点总结

云原生微服务技术趋势解读

【从0-1 千万级直播项目实战】分布式数据库选型 | 你还在分库分表吗？

为什么「确定按钮」正在慢慢消失

作者信息