1. 安装前提

在开始之前,使用kubeadm部署Kubernetes集群需要满足以下几个条件:

  • 一台或多台机器,操作系统 CentOS7.x-86_x64
  • 硬件配置:4GB或更多RAM,2个CPU或更多CPU,硬盘30GB或更多
  • 集群中所有机器之间网络互通
  • 可以访问外网,需要拉取镜像
  • 禁止swap分区

2. 安装步骤

  1. 在所有节点上安装Docker和kubeadm
  2. 部署Kubernetes Master
  3. 部署容器网络插件
  4. 部署 Kubernetes Node,将节点加入Kubernetes集群中
  5. 部署Dashboard Web页面,可视化查看Kubernetes资源

3. 准备环境

三台主机
IP: 192.168.202.128 主机名:k8s-master 系统: centos 7.9 配置: 2C 8G
IP: 192.168.202.129 主机名:k8s-node1 系统: centos 7.9 配置: 2C 8G
IP: 192.168.202.130 主机名:k8s-node2 系统: centos 7.9 配置: 2C 8G

三台主机全部关闭防火墙:
# systemctl stop firewalld
# systemctl disable firewalld

三台主机全部关闭selinux:
# sed -i 's/enforcing/disabled/' /etc/selinux/config
# setenforce 0

三台主机全部关闭swap:
# swapoff -a # 临时关闭
# vim /etc/fstab 注释到swap那一行 # 永久关闭

添加主机名与IP对应关系(三台主机都执行)
# cat >> /etc/hosts << EOF
192.168.202.128 k8s-master
192.168.202.129 k8s-node1
192.168.202.130 k8s-node2
EOF

设置192.168.202.128主机主机名
# hostnamectl set-hostname k8s-master

设置192.168.202.129主机主机名
# hostnamectl set-hostname k8s-node1

设置192.168.202.130主机主机名
# hostnamectl set-hostname k8s-node2

将桥接的IPv4流量传递到iptables的链(三台主机都执行)
# cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
# sysctl --system

4. 所有节点安装Docker/kubeadm/kubelet

Kubernetes默认CRI(容器运行时)为Docker,因此先安装Docker。

4.1 安装Docker

每台机器上都安装Docker。

下载阿里云的docker yum源,并安装
# wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -O /etc/yum.repos.d/docker-ce.repo
# yum -y install docker-ce

启动docker,并设置docker开机自启
# systemctl start docker
# systemctl enable docker

设置阿里云镜像下载加速

进入到阿里云后台控制界面,点击产品与服务,选择容器镜像服务,左下角有个镜像加速器

centos7使用kubeadm安装单Master多Node的kubernetes集群_kubenetes

选择自己的加速器地址,并且设置cgroup驱动,推荐systemd:

# cat > /etc/docker/daemon.json <<EOF
{
"registry-mirrors": ["https://6ze43vnb.mirror.aliyuncs.com"],
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"storage-driver": "overlay2"
}
EOF

重启docker

systemctl daemon-reload
systemctl restart docker

4.2 添加阿里云YUM软件源

# cat > /etc/yum.repos.d/kubernetes.repo << EOF
[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

4.3 安装kubeadm,kubelet和kubectl

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

5. 部署Kubernetes Master

在192.168.202.128(Master)执行。

# kubeadm init \
--apiserver-advertise-address=192.168.202.128 \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.23.4 \
--service-cidr=10.1.0.0/16 \
--pod-network-cidr=10.244.0.0/16

​注:由于默认拉取镜像地址k8s.gcr.io国内无法访问,这里指定阿里云镜像仓库地址​

初始化完成后,根据日志提示,在master节点上执行如下操作:

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

6. 将Node节点加入到Kubernetes集群中

在192.168.202.129/130(Node)分别执行。

向集群添加新节点,执行在kubeadm init输出的kubeadm join命令:

kubeadm join一行是master端 kubeadm init 生成的,实际你的会变化
# kubeadm join 192.168.202.128:6443 --token 6qf11n.pdyzp2zki1ydb2fc \
--discovery-token-ca-cert-hash sha256:e9055d8b3cfcf40330124f5da18e820ebcb6eb9ff28eb64c0f593e0fb154b755

7. 安装Pod网络插件Flannel(CNI)

到使用 kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml 安装flannel网络组件,如果访问不了,可以把如下内容保存为kube-flannel.yml,然后使用  kubectl apply -f kube-flannel.yml进行安装,kube-flannel.yml内容如下:

---
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
name: psp.flannel.unprivileged
annotations:
seccomp.security.alpha.kubernetes.io/allowedProfileNames: docker/default
seccomp.security.alpha.kubernetes.io/defaultProfileName: docker/default
apparmor.security.beta.kubernetes.io/allowedProfileNames: runtime/default
apparmor.security.beta.kubernetes.io/defaultProfileName: runtime/default
spec:
privileged: false
volumes:
- configMap
- secret
- emptyDir
- hostPath
allowedHostPaths:
- pathPrefix: "/etc/cni/net.d"
- pathPrefix: "/etc/kube-flannel"
- pathPrefix: "/run/flannel"
readOnlyRootFilesystem: false
# Users and groups
runAsUser:
rule: RunAsAny
supplementalGroups:
rule: RunAsAny
fsGroup:
rule: RunAsAny
# Privilege Escalation
allowPrivilegeEscalation: false
defaultAllowPrivilegeEscalation: false
# Capabilities
allowedCapabilities: ['NET_ADMIN', 'NET_RAW']
defaultAddCapabilities: []
requiredDropCapabilities: []
# Host namespaces
hostPID: false
hostIPC: false
hostNetwork: true
hostPorts:
- min: 0
max: 65535
# SELinux
seLinux:
# SELinux is unused in CaaSP
rule: 'RunAsAny'
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: flannel
rules:
- apiGroups: ['extensions']
resources: ['podsecuritypolicies']
verbs: ['use']
resourceNames: ['psp.flannel.unprivileged']
- apiGroups:
- ""
resources:
- pods
verbs:
- get
- apiGroups:
- ""
resources:
- nodes
verbs:
- list
- watch
- apiGroups:
- ""
resources:
- nodes/status
verbs:
- patch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: flannel
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: flannel
subjects:
- kind: ServiceAccount
name: flannel
namespace: kube-system
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: flannel
namespace: kube-system
---
kind: ConfigMap
apiVersion: v1
metadata:
name: kube-flannel-cfg
namespace: kube-system
labels:
tier: node
app: flannel
data:
cni-conf.json: |
{
"name": "cbr0",
"cniVersion": "0.3.1",
"plugins": [
{
"type": "flannel",
"delegate": {
"hairpinMode": true,
"isDefaultGateway": true
}
},
{
"type": "portmap",
"capabilities": {
"portMappings": true
}
}
]
}
net-conf.json: |
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: kube-flannel-ds
namespace: kube-system
labels:
tier: node
app: flannel
spec:
selector:
matchLabels:
app: flannel
template:
metadata:
labels:
tier: node
app: flannel
spec:
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: kubernetes.io/os
operator: In
values:
- linux
hostNetwork: true
priorityClassName: system-node-critical
tolerations:
- operator: Exists
effect: NoSchedule
serviceAccountName: flannel
initContainers:
- name: install-cni-plugin
#image: flannelcni/flannel-cni-plugin:v1.0.1 for ppc64le and mips64le (dockerhub limitations may apply)
image: rancher/mirrored-flannelcni-flannel-cni-plugin:v1.0.1
command:
- cp
args:
- -f
- /flannel
- /opt/cni/bin/flannel
volumeMounts:
- name: cni-plugin
mountPath: /opt/cni/bin
- name: install-cni
#image: flannelcni/flannel:v0.16.3 for ppc64le and mips64le (dockerhub limitations may apply)
image: rancher/mirrored-flannelcni-flannel:v0.16.3
command:
- cp
args:
- -f
- /etc/kube-flannel/cni-conf.json
- /etc/cni/net.d/10-flannel.conflist
volumeMounts:
- name: cni
mountPath: /etc/cni/net.d
- name: flannel-cfg
mountPath: /etc/kube-flannel/
containers:
- name: kube-flannel
#image: flannelcni/flannel:v0.16.3 for ppc64le and mips64le (dockerhub limitations may apply)
image: rancher/mirrored-flannelcni-flannel:v0.16.3
command:
- /opt/bin/flanneld
args:
- --ip-masq
- --kube-subnet-mgr
resources:
requests:
cpu: "100m"
memory: "50Mi"
limits:
cpu: "100m"
memory: "50Mi"
securityContext:
privileged: false
capabilities:
add: ["NET_ADMIN", "NET_RAW"]
env:
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
volumeMounts:
- name: run
mountPath: /run/flannel
- name: flannel-cfg
mountPath: /etc/kube-flannel/
- name: xtables-lock
mountPath: /run/xtables.lock
volumes:
- name: run
hostPath:
path: /run/flannel
- name: cni-plugin
hostPath:
path: /opt/cni/bin
- name: cni
hostPath:
path: /etc/cni/net.d
- name: flannel-cfg
configMap:
name: kube-flannel-cfg
- name: xtables-lock
hostPath:
path: /run/xtables.lock
type: FileOrCreate

查看Flannel安装结果:

#kubectl get pod -A
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-9d85f5447-htzgm 1/1 Running 0 27m
kube-system coredns-9d85f5447-sz9kg 1/1 Running 0 27m
kube-system etcd-k8s-master 1/1 Running 0 27m
kube-system kube-apiserver-k8s-master 1/1 Running 0 27m
kube-system kube-controller-manager-k8s-master 1/1 Running 0 27m
kube-system kube-flannel-ds-amd64-5r2qv 1/1 Running 0 4m13s
kube-system kube-proxy-npgrm 1/1 Running 0 27m
kube-system kube-scheduler-k8s-master 1/1 Running 0 27m

8. 测试kubernetes集群

在Kubernetes集群中创建一个pod,验证是否正常运行:

# kubectl create deployment nginx --image=nginx
# kubectl expose deployment nginx --port=80 --type=NodePort
# kubectl get pod,svc

访问地址:http://NodeIP:Port

9. 安装 Kuboard

kubectl apply -f https://kuboard.cn/install-script/kuboard.yaml
kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

查看 Kuboard 运行状态:

kubectl get pods -l k8s.kuboard.cn/name=kuboard -n kube-system

输出结果如下所示:

NAME                       READY   STATUS        RESTARTS   AGE
kuboard-54c9c4f6cb-6lf88 1/1 Running 0 45s

获取Token

执行命令

# 如果您参考 www.kuboard.cn 提供的文档安装 Kuberenetes,可在第一个 Master 节点上执行此命令
echo $(kubectl -n kube-system get secret $(kubectl -n kube-system get secret | grep kuboard-user | awk '{print $1}') -o go-template='{{.data.token}}' | base64 -d)

输出取输出信息中 token 字段

eyJhbGciOiJSUzI1NiIsImtpZCI6IiJ9.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJrdWJlLXN5c3RlbSIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VjcmV0Lm5hbWUiOiJhZG1pbi11c2VyLXRva2VuLWc4aHhiIiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQubmFtZSI6ImFkbWluLXVzZXIiLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlcnZpY2UtYWNjb3VudC51aWQiOiI5NDhiYjVlNi04Y2RjLTExZTktYjY3ZS1mYTE2M2U1ZjdhMGYiLCJzdWIiOiJzeXN0ZW06c2VydmljZWFjY291bnQ6a3ViZS1zeXN0ZW06YWRtaW4tdXNlciJ9.DZ6dMTr8GExo5IH_vCWdB_MDfQaNognjfZKl0E5VW8vUFMVvALwo0BS-6Qsqpfxrlz87oE9yGVCpBYV0D00811bLhHIg-IR_MiBneadcqdQ_TGm_a0Pz0RbIzqJlRPiyMSxk1eXhmayfPn01upPdVCQj6D3vAY77dpcGplu3p5wE6vsNWAvrQ2d_V1KhR03IB1jJZkYwrI8FHCq_5YuzkPfHsgZ9MBQgH-jqqNXs6r8aoUZIbLsYcMHkin2vzRsMy_tjMCI9yXGiOqI-E5efTb-_KbDVwV5cbdqEIegdtYZ2J3mlrFQlmPGYTwFI8Ba9LleSYbCi4o0k74568KcN_w

访问Kuboard

​http://任意一个Worker节点的IP地址:32567/​

centos7使用kubeadm安装单Master多Node的kubernetes集群_kubenetes_02