部署Kubernetes集群-1.18.6版本

Kubeadm 部署 Kubernetes1.18.6 集群

一、环境说明

主机名	IP地址	角色	系统
k8s-master	192.168.182.150	k8s-master	Centos7.6
k8s-node-1	192.168.182.160	k8s-node	Centos7.6
k8s-node-2	192.168.182.170	k8s-node	Centos7.6

• 注意：官方建议每台机器至少双核2G内存，同时需确保MAC和product_uuid唯一（参考下面的命令查看）

ip link
cat /sys/class/dmi/id/product_uuid

二、环境配置

• 以下命令在三台主机上均需运行

1、设置阿里云yum源（可选）

curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo
rm -rf /var/cache/yum && yum makecache && yum -y update && yum -y autoremove
# 注意： 网络条件不好，可以不用 update

2、安装依赖包

yum install -y epel-release conntrack ipvsadm ipset jq sysstat curl iptables libseccomp

3、关闭防火墙

systemctl stop firewalld && systemctl disable firewalld
iptables -F && iptables -X && iptables -F -t nat && iptables -X -t nat && iptables -P FORWARD ACCEPT

4、关闭SELinux

setenforce 0
sed -i "s/SELINUX=enforcing/SELINUX=disabled/g" /etc/selinux/config

5、关闭swap分区

swapoff -a
sed -i '/ swap / s/^\(.*\)$/#\1/g' /etc/fstab

6、加载内核模块

cat > /etc/sysconfig/modules/ipvs.modules <<EOF
#!/bin/bash
modprobe -- ip_vs
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- nf_conntrack_ipv4
modprobe -- br_netfilter
EOF

chmod 755 /etc/sysconfig/modules/ipvs.modules && bash /etc/sysconfig/modules/ipvs.modules

• modprobe ip_vs lvs基于4层的负载均很
• modprobe ip_vs_rr 轮询
• modprobe ip_vs_wrr 加权轮询
• modprobe ip_vs_sh 源地址散列调度算法
• modprobe nf_conntrack_ipv4 连接跟踪模块
• modprobe br_netfilter 遍历桥的数据包由iptables进行处理以进行过滤和端口转发

7、设置内核参数

cat << EOF | tee /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-iptables=1
net.bridge.bridge-nf-call-ip6tables=1
net.ipv4.ip_forward=1
net.ipv4.tcp_tw_recycle=0
vm.swappiness=0
vm.overcommit_memory=1
vm.panic_on_oom=0
fs.inotify.max_user_watches=89100
fs.file-max=52706963
fs.nr_open=52706963
net.ipv6.conf.all.disable_ipv6=1
net.netfilter.nf_conntrack_max=2310720
EOF

sysctl -p /etc/sysctl.d/k8s.conf

• overcommit_memory是一个内核对内存分配的一种策略,取值又三种分别为0， 1， 2
  • overcommit_memory=0， 表示内核将检查是否有足够的可用内存供应用进程使用；如果有足够的可用内存，内存申请允许；否则，内存申请失败，并把错误返回给应用进程。
  • overcommit_memory=1， 表示内核允许分配所有的物理内存，而不管当前的内存状态如何。
  • overcommit_memory=2， 表示内核允许分配超过所有物理内存和交换空间总和的内存
• net.bridge.bridge-nf-call-iptables 设置网桥iptables网络过滤通告
• net.ipv4.tcp_tw_recycle 设置 IP_TW 回收
• vm.swappiness 禁用swap
• vm.panic_on_oom 设置系统oom（内存溢出）
• fs.inotify.max_user_watches 允许用户最大监控目录数
• fs.file-max 允许系统打开的最大文件数
• fs.nr_open 允许单个进程打开的最大文件数
• net.ipv6.conf.all.disable_ipv6 禁用ipv6
• net.netfilter.nf_conntrack_max 系统的最大连接数

8、安装 Docker

1、首先卸载旧版

yum remove docker \
           docker-client \
           docker-client-latest \
           docker-common \
           docker-latest \
           docker-latest-logrotate \
           docker-logrotate \
           docker-selinux \
           docker-engine-selinux \
           docker-engine

2、安装依赖包

yum install -y yum-utils device-mapper-persistent-data lvm2

3、设置安装源（阿里云）

yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

4、启用测试库（可选）

yum-config-manager --enable docker-ce-edge
yum-config-manager --enable docker-ce-test

5、安装

yum makecache fast
yum list docker-ce --showduplicates | sort -r
yum -y install docker-ce-18.09.9-3.el7

6、启动

systemctl start docker

7、开机自启设置

systemctl enable docker

• Docker建议配置阿里云镜像加速

• 另外Kubeadm建议将 systemd 设置为 cgroup 驱动，所以还要修改 daemon.json

sed -i "13i ExecStartPost=/usr/sbin/iptables -P FORWARD ACCEPT" /usr/lib/systemd/system/docker.service

tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://bk6kzfqm.mirror.aliyuncs.com"],
  "exec-opts": ["native.cgroupdriver=systemd"],
  "log-driver": "json-file",
  "log-opts": {
    "max-size": "100m"
  },
  "storage-driver": "overlay2",
  "storage-opts": [
    "overlay2.override_kernel_check=true"
  ]
}
EOF

systemctl daemon-reload
systemctl restart docker

9、安装 kubeadm 和 kubelet

1、配置安装源

cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
#重建yum缓存，输入y添加证书认证
yum makecache fast

2、安装

yum install -y kubelet kubeadm kubectl
systemctl enable --now kubelet

3、配置自动补全命令

#安装bash自动补全插件
yum install bash-completion -y
#设置kubectl与kubeadm命令补全，下次login生效
kubectl completion bash > /etc/bash_completion.d/kubectl
kubeadm completion bash > /etc/bash_completion.d/kubeadm

10、拉取所需镜像

• 由于国内网络因素，kubernetes镜像需要从mirrors站点或通过dockerhub用户推送的镜像拉取

kubeadm config images list --kubernetes-version v1.18.6
W0803 07:13:18.584538   11055 configset.go:202] WARNING: kubeadm cannot validate component configs for API groups [kubelet.config.k8s.io kubeproxy.config.k8s.io]
k8s.gcr.io/kube-apiserver:v1.18.6
k8s.gcr.io/kube-controller-manager:v1.18.6
k8s.gcr.io/kube-scheduler:v1.18.6
k8s.gcr.io/kube-proxy:v1.18.6
k8s.gcr.io/pause:3.2
k8s.gcr.io/etcd:3.4.3-0
k8s.gcr.io/coredns:1.6.7

1、拉取镜像

• 另因阿里云的镜像暂时还没更新到v1.18.5版本，所以通过dockerhub上拉取，目前阿里云最新同步版本是v1.18.3，想通过v1.18.3版本拉取镜像请参考

vim get-k8s-images.sh
#!/bin/bash
# Script For Quick Pull K8S Docker Images

KUBE_VERSION=v1.18.6
PAUSE_VERSION=3.2
CORE_DNS_VERSION=1.6.7
ETCD_VERSION=3.4.3-0

# pull kubernetes images from hub.docker.com
docker pull kubeimage/kube-proxy-amd64:$KUBE_VERSION
docker pull kubeimage/kube-controller-manager-amd64:$KUBE_VERSION
docker pull kubeimage/kube-apiserver-amd64:$KUBE_VERSION
docker pull kubeimage/kube-scheduler-amd64:$KUBE_VERSION
# pull aliyuncs mirror docker images
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:$PAUSE_VERSION
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:$CORE_DNS_VERSION
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:$ETCD_VERSION

# retag to k8s.gcr.io prefix
docker tag kubeimage/kube-proxy-amd64:$KUBE_VERSION  k8s.gcr.io/kube-proxy:$KUBE_VERSION
docker tag kubeimage/kube-controller-manager-amd64:$KUBE_VERSION k8s.gcr.io/kube-controller-manager:$KUBE_VERSION
docker tag kubeimage/kube-apiserver-amd64:$KUBE_VERSION k8s.gcr.io/kube-apiserver:$KUBE_VERSION
docker tag kubeimage/kube-scheduler-amd64:$KUBE_VERSION k8s.gcr.io/kube-scheduler:$KUBE_VERSION
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:$PAUSE_VERSION k8s.gcr.io/pause:$PAUSE_VERSION
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:$CORE_DNS_VERSION k8s.gcr.io/coredns:$CORE_DNS_VERSION
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:$ETCD_VERSION k8s.gcr.io/etcd:$ETCD_VERSION

# untag origin tag, the images won't be delete.
docker rmi kubeimage/kube-proxy-amd64:$KUBE_VERSION
docker rmi kubeimage/kube-controller-manager-amd64:$KUBE_VERSION
docker rmi kubeimage/kube-apiserver-amd64:$KUBE_VERSION
docker rmi kubeimage/kube-scheduler-amd64:$KUBE_VERSION
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/pause:$PAUSE_VERSION
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:$CORE_DNS_VERSION
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:$ETCD_VERSION

2、Master 导出镜像

如果网络不好的手动导入我的镜像包
链接：https://pan.baidu.com/s/1XmjnDy5ZkLcYmz3_-hqeMw
提取码：vknk

docker save $(docker images | grep -v REPOSITORY | awk 'BEGIN{OFS=":";ORS=" "}{print $1,$2}') -o k8s-1.18.6-images.tar

3、node 节点导入镜像

docker image load -i k8s-1.18.6-images.tar

三、初始化集群

• 以下命令如无特殊说明，均在k8s-master上执行

1、使用kubeadm init初始化集群（注意修 apiserver 地址为本机IP）

kubeadm init  --kubernetes-version=v1.18.6 --apiserver-advertise-address=192.168.182.150 --pod-network-cidr=10.244.0.0/16 --service-cidr=10.1.0.0/16

• –kubernetes-version=v1.16.2 ： 加上该参数后启动相关镜像（刚才下载的那一堆）

• –pod-network-cidr=10.244.0.0/16 ：（Pod 中间网络通讯我们用flannel，flannel要求是10.244.0.0/16，这个IP段就是Pod的IP段）

• –service-cidr=10.1.0.0/16 ： Service（服务）网段（和微服务架构有关）

• 初始化成功后会输出类似下面的加入命令，暂时无需运行，先记录。

kubeadm join 192.168.120.128:6443 --token duz8m8.njvafly3p2jrshfx --discovery-token-ca-cert-hash sha256:60e15ba0f562a9f29124914a1540bd284e021a37ebdbcea128f4e257e25002db

2、为需要使用kubectl的用户进行配置

#把密钥配置加载到自己的环境变量里
export KUBECONFIG=/etc/kubernetes/admin.conf

#每次启动自动加载$HOME/.kube/config下的密钥配置文件（K8S自动行为）
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

3、 集群网络配置（选择一种就可以）

1、安装 flannel 网络

kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
# 注意：修改集群初始化地址及镜像能否拉去

2、安装Pod Network（使用七牛云镜像）

curl -o kube-flannel.yml https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
sed -i "s/quay.io\/coreos\/flannel/quay-mirror.qiniu.com\/coreos\/flannel/g" kube-flannel.yml
kubectl apply -f kube-flannel.yml
rm -f kube-flannel.yml

• 使用下面的命令确保所有的Pod都处于Running状态，可能要等到许久。

kubectl get pod --all-namespaces -o wide

3、安装 calico 网络 —推荐使用这种

wget https://docs.projectcalico.org/v3.15/manifests/calico.yaml
vim  calico.yaml
## 搜ip地址192  大概是3580行 修改后删除到注释 保存退出 

kubectl apply -f  calico.yaml  ##生效

4、向Kubernetes集群中添加Node节点

• 在k8s-node-2和k8s-node-3上运行之前在k8s-node-1输出的命令

kubeadm join 192.168.182.150:6443 --token 1larur.w0l80fztn9lb5r8j \
>     --discovery-token-ca-cert-hash sha256:01fee86a181f25894dc20991ad832b5f09fb4bda29f9b8a19a6c3c9ced638f75

• 注意：没有记录集群 join 命令的可以通过以下方式重新获取

kubeadm token create --print-join-command --ttl=0

2、为需要使用kubectl的用户进行配置

• 查看集群中的节点状态，可能要等等许久才Ready

kubectl get nodes

5、kube-proxy 开启 ipvs

kubectl get configmap kube-proxy -n kube-system -o yaml > kube-proxy-configmap.yaml
sed -i 's/mode: ""/mode: "ipvs"/' kube-proxy-configmap.yaml
kubectl apply -f kube-proxy-configmap.yaml
rm -f kube-proxy-configmap.yaml
kubectl get pod -n kube-system | grep kube-proxy | awk '{system("kubectl delete pod "$1" -n kube-system")}' 

四、部署 kubernetes-dashboard

1、在 Master 上部署 Dashboard

[root@k8s-master ~]# kubectl get pods -A  -o wide
NAMESPACE              NAME                                         READY   STATUS    RESTARTS   AGE     IP                NODE         NOMINATED NODE   READINESS GATES
kube-system            calico-kube-controllers-74c9747c46-cp4dk     1/1     Running   0          143m    10.244.235.193    k8s-master              
kube-system            calico-node-6xmxh                            1/1     Running   0          143m    192.168.152.145   k8s-master              
kube-system            calico-node-8mbwq                            1/1     Running   0          131m    192.168.152.146   k8s-node1               
kube-system            calico-node-sqtgq                            1/1     Running   0          131m    192.168.152.147   k8s-node2               
kube-system            coredns-6955765f44-n8d8v                     1/1     Running   0          3h44m   10.244.235.195    k8s-master              
kube-system            coredns-6955765f44-p4kd4                     1/1     Running   0          3h44m   10.244.235.194    k8s-master              
kube-system            etcd-k8s-master                              1/1     Running   0          3h44m   192.168.152.145   k8s-master              
kube-system            kube-apiserver-k8s-master                    1/1     Running   0          3h44m   192.168.152.145   k8s-master              
kube-system            kube-controller-manager-k8s-master           1/1     Running   0          3h44m   192.168.152.145   k8s-master              
kube-system            kube-flannel-ds-amd64-2d88c                  1/1     Running   0          131m    192.168.152.147   k8s-node2               
kube-system            kube-flannel-ds-amd64-69ftl                  1/1     Running   0          3h6m    192.168.152.145   k8s-master              
kube-system            kube-flannel-ds-amd64-9ct9d                  1/1     Running   0          131m    192.168.152.146   k8s-node1               
kube-system            kube-proxy-7p56k                             1/1     Running   0          122m    192.168.152.146   k8s-node1               
kube-system            kube-proxy-mfbs8                             1/1     Running   0          122m    192.168.152.145   k8s-master              
kube-system            kube-proxy-skt9w                             1/1     Running   0          122m    192.168.152.147   k8s-node2               
kube-system            kube-scheduler-k8s-master                    1/1     Running   0          3h44m   192.168.152.145   k8s-master              
kube-system            metrics-server-cfc97f444-ptpqv               1/1     Running   0          7m10s   10.244.36.75      k8s-node1               
kubernetes-dashboard   dashboard-metrics-scraper-76585494d8-2z5dq   1/1     Running   0          20m     10.244.36.73      k8s-node1               
kubernetes-dashboard   kubernetes-dashboard-6b86b44f87-ctwth        1/1     Running   0          20m     10.244.169.134    k8s-node2               

2、下载并修改Dashboard安装脚本（在Master上执行）

• 参照官网安装说明在master上执行：

wget https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.0-  beta5/aio/deploy/recommended.yaml           ##下载失败的 直接复制下面的文件
cat > recommended.yaml<<-EOF
# 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:
  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
  namespace: 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:
      containers:
        - name: kubernetes-dashboard
          image: kubernetesui/dashboard:v2.0.0-beta1
          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
      volumes:
        - name: kubernetes-dashboard-certs
          secret:
            secretName: kubernetes-dashboard-certs
        - name: tmp-volume
          emptyDir: {}
      serviceAccountName: kubernetes-dashboard
      # 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: kubernetes-metrics-scraper
  name: dashboard-metrics-scraper
  namespace: kubernetes-dashboard
spec:
  ports:
    - port: 8000
      targetPort: 8000
  selector:
    k8s-app: kubernetes-metrics-scraper

---

kind: Deployment
apiVersion: apps/v1
metadata:
  labels:
    k8s-app: kubernetes-metrics-scraper
  name: kubernetes-metrics-scraper
  namespace: kubernetes-dashboard
spec:
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      k8s-app: kubernetes-metrics-scraper
  template:
    metadata:
      labels:
        k8s-app: kubernetes-metrics-scraper
    spec:
      containers:
        - name: kubernetes-metrics-scraper
          image: kubernetesui/metrics-scraper:v1.0.0
          ports:
            - containerPort: 8000
              protocol: TCP
          livenessProbe:
            httpGet:
              scheme: HTTP
              path: /
              port: 8000
            initialDelaySeconds: 30
            timeoutSeconds: 30
      serviceAccountName: kubernetes-dashboard
      # Comment the following tolerations if Dashboard must not be deployed on master
      tolerations:
        - key: node-role.kubernetes.io/master
          effect: NoSchedule
EOF

• 修改recommended.yaml文件内容(vi recommended.yaml)：

---
#增加直接访问端口
kind: Service
apiVersion: v1
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
spec:
  type: NodePort #增加
  ports:
    - port: 443
      targetPort: 8443
      nodePort: 30008 #增加
  selector:
    k8s-app: kubernetes-dashboard

---
#因为自动生成的证书很多浏览器无法使用，所以我们自己创建，注释掉kubernetes-dashboard-certs对象声明
#apiVersion: v1
#kind: Secret
#metadata:
#  labels:
#    k8s-app: kubernetes-dashboard
#  name: kubernetes-dashboard-certs
#  namespace: kubernetes-dashboard
#type: Opaque

---

3、创建证书

mkdir dashboard-certs
cd dashboard-certs/
#创建命名空间
kubectl create namespace kubernetes-dashboard     
## 删除命名空间kubectl delete namespace kubernetes-dashboard
# 创建私钥key文件
openssl genrsa -out dashboard.key 2048
#证书请求
openssl req -days 36000 -new -out dashboard.csr -key dashboard.key -subj '/CN=dashboard-cert'
#自签证书
openssl x509 -req -in dashboard.csr -signkey dashboard.key -out dashboard.crt
#创建kubernetes-dashboard-certs对象
kubectl create secret generic kubernetes-dashboard-certs --from-file=dashboard.key --from-file=dashboard.crt -n kubernetes-dashboard

4、创建 dashboard 管理员

1、创建账号

vim dashboard-admin.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: dashboard-admin
  namespace: kubernetes-dashboard
#保存退出后执行
kubectl create -f dashboard-admin.yaml

2、为用户分配权限

vim dashboard-admin-bind-cluster-role.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: dashboard-admin-bind-cluster-role
  labels:
    k8s-app: kubernetes-dashboard
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
- kind: ServiceAccount
  name: dashboard-admin
  namespace: kubernetes-dashboard
#保存退出后执行
kubectl create -f dashboard-admin-bind-cluster-role.yaml

5、安装 Dashboard

#安装
kubectl create -f  ~/recommended.yaml

#检查结果
kubectl get pods -A  -o wide

[root@k8s-master ~]# kubectl get service -n kubernetes-dashboard  -o wide
NAME                        TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)         AGE   SELECTOR
dashboard-metrics-scraper   ClusterIP   10.1.186.219   <none>        8000/TCP        19m   k8s-app=dashboard-metrics-scraper
kubernetes-dashboard        NodePort    10.1.60.1      <none>        443:30008/TCP   19m   k8s-app=kubernetes-dashboard

6、查看并复制用户Token

kubectl -n kubernetes-dashboard describe secret $(kubectl -n kubernetes-dashboard get secret | grep dashboard-admin | awk '{print $1}')
Name:         dashboard-admin-token-9mqvw
Namespace:    kubernetes-dashboard
Labels:       <none>
Annotations:  kubernetes.io/service-account.name: dashboard-admin
              kubernetes.io/service-account.uid: 762b0839-9ba3-4442-b123-e2c2b37a1088

Type:  kubernetes.io/service-account-token

Data
====
ca.crt:     1025 bytes
namespace:  20 bytes
token:      eyJhbGciOiJSUzI1NiIsImtpZCI6Ik9VVVQ1YkdpeDA1N1U0OUc4X0RZM2ppUndsNUdUNTRuOU1jZ0RuSUcxd00ifQ.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.W5DLW4dYX5u33Lg97BYb33eIWL5gTFT5xyZ5uqcPun4ChpMY7lrGA2GuxPhdfWbju7DaFMr7eacgnWoAOQzr_rgrCWCWnT7xmEWpvChbi7VVpyEGrVVqxXVRYIWMrpP5s-TYD8doEjeoxrFDwo4CWX7zv834vhkjnharY5ZBZYEKAw06Eg7d-HFsq8ZTAkeg8wXtuRd_OHvPddAuxmZCnf3Y3yLh6Ak7n3OkWKBupY7pRVUnzDBT2Nk7vv0YrAFm6f6x2Wg-WeE7Wbgwt7cOBMo2fJixfdmo0GDdwv0stCk4kuz-8wXpGtR2nGzEWX7AY5snT9AEabYvrOLIYRy7sQ

7、访问

• [https://192.168.182.150:30008，选择Token登录，输入刚才复制的密钥

登录成功：

#如果进入网站提示证书错误执行，原路返回一步一步delete回到创建证书步骤重做
kubectl delete -f  ~/recommended.yaml  

8、安装部署 metrics-server 插件

（很重要的角色，在集群中实现扩容，故障自愈，伸缩）

1、简单介绍

• heapster已经被metrics-server取代，如果使用kubernetes的自动扩容功能的话，那首先得有一个插件，然后该插件将收集到的信息（cpu、memory…）与自动扩容的设置的值进行比对，自动调整pod数量。关于该插件，在kubernetes的早些版本中采用的是heapster，1.13版本正式发布后，丢弃了heapster，官方推荐采用metrics-sever。

2、下载相关yaml文件

下载metrics-server-master.zip 注意版本不同文件可能不同
链接：https://pan.baidu.com/s/18PsL5wlgmfh1Ci6ZIPk5Dw
提取码：p6na

[root@k8s-master ~]# unzip metrics-server-master.zip   ##解压上传的插件包

[root@k8s-master ~]# cd metrics-server-master/deploy/1.8+
[root@k8s-master 1.8+]# ll
总用量 28
-rw-r--r-- 1 root root 384 4月  28 09:46 aggregated-metrics-reader.yaml
-rw-r--r-- 1 root root 308 4月  28 09:46 auth-delegator.yaml
-rw-r--r-- 1 root root 329 4月  28 09:46 auth-reader.yaml
-rw-r--r-- 1 root root 298 4月  28 09:46 metrics-apiservice.yaml
-rw-r--r-- 1 root root 815 4月  28 09:46 metrics-server-deployment.yaml
-rw-r--r-- 1 root root 291 4月  28 09:46 metrics-server-service.yaml
-rw-r--r-- 1 root root 502 4月  28 09:46 resource-reader.yaml

3、修改安装脚本

vim metrics-server-deployment.yaml ## 注意是修改 这里只截取了片段不能直接替换
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: metrics-server
  namespace: kube-system
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: metrics-server
  namespace: kube-system
  labels:
    k8s-app: metrics-server
spec:
  selector:
    matchLabels:
      k8s-app: metrics-server
  template:
    metadata:
      name: metrics-server
      labels:
        k8s-app: metrics-server
    spec:
      serviceAccountName: metrics-server
      volumes:
      # mount in tmp so we can safely use from-scratch images and/or read-only containers
      - name: tmp-dir
        emptyDir: {}
      containers:
      - name: metrics-server
        image: mirrorgooglecontainers/metrics-server-amd64:v0.3.6  # 修改镜像下载地址
        args:        # 添加以下内容
          - --cert-dir=/tmp
          - --secure-port=4443
          - --kubelet-insecure-tls
          - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
        ports:
        - name: main-port
          containerPort: 4443
          protocol: TCP
        securityContext:
          readOnlyRootFilesystem: true
          runAsNonRoot: true
          runAsUser: 1000
        imagePullPolicy: Always
        volumeMounts:
        - name: tmp-dir
          mountPath: /tmp

5、执行安装脚本并产看结果

#安装
[root@k8s-master 1.8+]# kubectl create -f .

#1-2分钟后查看结果
[root@k8s-master 1.8+]# kubectl top nodes
NAME         CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%   
k8s-master   256m         12%    2002Mi          52%       
k8s-node1    103m         5%     1334Mi          34%       
k8s-node2    144m         7%     1321Mi          34%  

再回到dashboard界面可以看到CPU和内存使用情况了：

9、导出认证

[root@k8s-master01 dashboard]# kubectl -n kubernetes-dashboard describe secret $(kubectl -n kubernetes-dashboard get secret | grep dashboard-admin | awk '{print $1}')
Name:         dashboard-admin-token-9d8x7
Namespace:    kubernetes-dashboard
Labels:       <none>
Annotations:  kubernetes.io/service-account.name: dashboard-admin
              kubernetes.io/service-account.uid: 58c5cfc1-64fb-42b8-ac33-aab1743dc4e2

Type:  kubernetes.io/service-account-token

Data
====
ca.crt:     1025 bytes
namespace:  20 bytes
token:      eyJhbGciOiJSUzI1NiIsImtpZCI6InpZWlh1OTZndm5TTVgtUVRUc2ZnUnE1bHh6TjM2cXdxaGNjcTdyMWI5RHcifQ.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.bDWVmPocpKlFpLHLs0X0Axc51FT1ZjioVP8CTL_7_-1Acxpaxi4H54-KMbtKwNjM6ogYRN9jMYWS0zmIVF1NpouEnUFYPNOb05x1jPAOgFyWrfEJRuRXZgFLdy3s79JHfpg-0ZEySDAZIRBYHtvbHLC1eIBZBAm_sTPhQmYg_UxCSWklC1i6ZYEOJ6Q-8HqqCbBNEH31BTv8m59P420g2M3U9Y6IuhN1vPffesB7Y8XMK8qRqgrINGaF_i0z0ascInBQabS0X2TL30eBQfV1Fzl0s1VspTnpYUO2Uq3A1jbZpEl1PJsPzy0BvwpO4PP6aRg8EM3oqCSUvfRu9cQwDQ

[root@k8s-master01 dashboard]# vim /root/.kube/config    # 增加 token 内容 
- name: admin
  user:
    client-certificate-data: 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
    client-key-data: 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
    token: JSUzI1NiIsImtpZCI6Ikg5dThGMmc0c1ZBOTVkajVjMGRlb2poZjJMaExDSFp1T1NJWTdobkYtWmsifQ.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJrdWJlLXN5c3RlbSIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VjcmV0Lm5hbWUiOiJhZG1pbi11c2VyLXRva2VuLTRsYzkyIiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQubmFtZSI6ImFkbWluLXVzZXIiLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlcnZpY2UtYWNjb3VudC51aWQiOiJiNjc2MGRkZi1kN2FhLTRlZjctYWZkOS05YzA0ZThlMWE5NTQiLCJzdWIiOiJzeXN0ZW06c2VydmljZWFjY291bnQ6a3ViZS1zeXN0ZW06YWRtaW4tdXNlciJ9.XCA6-Wo7q8tJY8td1PRGkruvuNOmtHenjzyToRq5fJjGmWjdLspMDRvDul7YjMeY5eNuhcMG1cJgnyTZZW4gypIiVK1cAtvNR-U4oS0Vv8PqknZdc5-U1ftjIUeayH33tPCAgj-rui31CTwg26s0Z0B312XHF6tLOZZYxkavd1zYVt7DJaJcJpVsC1yaagoLBTjrfpV42N2s49QxnXMaQwYJGy2vowbLcxekdOV2h-7Hv63DxqBRoFYNx_DawN2m3JFfIyQMP7lwENXvNK76wnY2boO8asbIS92V4poLnc9v0r4gtV80dFp3558_XYBWhnZq-_klFHsfxJ0Opt_iEA

#注意格式 token前加4个空格和上面对齐  长秘钥前加一个空格 
[root@k8s-master01 dashboard]# cp /root/.kube/config /data/dashboard/k8s-dashboard.kubeconfig #没有创建即可
[root@k8s-master01 dashboard]# sz k8s-dashboard.kubeconfig  #上传到真机 用文件登录 终端工具不同命令不同

10、用文件认证登录