基于centos8 搭建k8s集群
1、环境准备VM主机名系统Dockerk8s192.168.157.11masterCentOS Stream release 83:20.10.9-3.el81.22.3192.168.157.12node1CentOS Stream release 83:20.10.9-3.el81.22.3192.168.157.13node2CentOS Stream release 83:20.10.9
1、环境准备
VM | 主机名 | 系统 | Docker | k8s |
---|---|---|---|---|
192.168.157.11 | master | CentOS Stream release 8 | 3:20.10.9-3.el8 | 1.22.3 |
192.168.157.12 | node1 | CentOS Stream release 8 | 3:20.10.9-3.el8 | 1.22.3 |
192.168.157.13 | node2 | CentOS Stream release 8 | 3:20.10.9-3.el8 | 1.22.3 |
2、初始化三台主机
2.1. 主机名设置
三台主机分别执行
hostnamectl set-hostname master
hostnamectl set-hostname node1
hostnamectl set-hostname node2
2.2. hosts文件设置
三台都执行
cat >> /etc/hosts <<EOF
192.168.157.11 master
192.168.157.12 node1
192.168.157.13 node2
EOF
2.3 永久关闭防火墙和selinux
三台都执行,以下无特殊说明,则三台都执行
systemctl stop firewalld
systemctl disable firewalld
sed -i 's/enforcing/disabled/' /etc/selinux/config
setenforce 0
getenforce
2.4 关闭swap分区
swapoff -a //临时关闭
vi /etc/fstab //永久关闭(注释掉最后一条配置)
...
#/dev/mapper/centos-swap swap swap defaults 0 0
free -h | grep Swap //验证Swap关闭情况(显示0代表成功关闭)
Swap: 0B 0B 0B
2.5 将桥接的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
3、Docker安装
3.1 安装yum仓库管理工具
yum makecache //更新yum软件包索引
yum -y install yum-utils
3.2 安装阿里的docker-ce仓库
yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce
3.3 安装需要的软件包, yum-util 提供yum-config-manager功能,另外两个是devicemapper驱动依赖的
yum install -y yum-utils device-mapper-persistent-data lvm2
3.4 设置yum源
yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
3.5 可以查看所有仓库中所有docker版本,并选择特定版本安装
yum list docker-ce --showduplicates | sort -r
3.6 安装docker
yum install -y docker-ce-3:20.10.9-3.el8
3.7 启动并加入开机启动
systemctl start docker
systemctl enable docker
3.8 验证docker是安装成功
docker version
docker info
3.9 配置镜像加速
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": ["https://ccdkz6eh.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker
--------------------------------------------------------docker安装完毕-------------------------------------------------------
安装k8s
4 安装kubeadm等工具
4.1 添加阿里云K8s的yum源
cat >> /etc/yum.repos.d/kubernetes.repo << EOF
[kubernetes]
name=Kubernetes Repo
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
enabled=1
EOF
4.2 安装Kubeadm、Kubelet、Kubectl组件
yum list |grep kubeadm
yum -y install kubelet-1.22.3-0 kubeadm-1.22.3-0 kubectl-1.22.3-0 //指定版本号部署
//配置开机自启动
systemctl enable kubelet
4.3 初始化Kubernetes Master (仅master节点)
kubeadm init --kubernetes-version=v1.22.3 \
--apiserver-advertise-address=192.168.157.11 \
--image-repository registry.aliyuncs.com/google_containers \
--service-cidr=10.10.0.0/16 --pod-network-cidr=10.122.0.0/16
4.3.1 警告
##kubeadm config images pull卡死,解决方案
1、kubeadm config images list
k8s.gcr.io/kube-apiserver:v1.22.6
k8s.gcr.io/kube-controller-manager:v1.22.6
k8s.gcr.io/kube-scheduler:v1.22.6
k8s.gcr.io/kube-proxy:v1.22.6
k8s.gcr.io/pause:3.5
k8s.gcr.io/etcd:3.5.0-0
k8s.gcr.io/coredns/coredns:v1.8.4
2、从阿里云仓库中pull
docker pull registry.aliyuncs.com/google_containers/kube-apiserver:v1.22.6
docker pull registry.aliyuncs.com/google_containers/kube-controller-manager:v1.22.6
docker pull registry.aliyuncs.com/google_containers/kube-scheduler:v1.22.6
docker pull registry.aliyuncs.com/google_containers/kube-proxy:v1.22.6
docker pull registry.aliyuncs.com/google_containers/pause:3.5
docker pull registry.aliyuncs.com/google_containers/etcd:3.5.0-0
docker pull registry.aliyuncs.com/google_containers/coredns:v1.8.4
3、转换标签
docker tag registry.aliyuncs.com/google_containers/kube-apiserver:v1.22.6 k8s.gcr.io/kube-apiserver:v1.22.6
docker tag registry.aliyuncs.com/google_containers/kube-controller-manager:v1.22.6 k8s.gcr.io/kube-controller-manager:v1.22.6
docker tag registry.aliyuncs.com/google_containers/kube-scheduler:v1.22.6 k8s.gcr.io/kube-scheduler:v1.22.6
docker tag registry.aliyuncs.com/google_containers/kube-proxy:v1.22.6 k8s.gcr.io/kube-proxy:v1.22.6
docker tag registry.aliyuncs.com/google_containers/pause:3.5 k8s.gcr.io/pause:3.5
docker tag registry.aliyuncs.com/google_containers/etcd:3.5.0-0 k8s.gcr.io/etcd:3.5.0-0
docker tag registry.aliyuncs.com/google_containers/coredns:v1.8.4 k8s.gcr.io/coredns/coredns:1.3.1
警告
如果报错:
[kubelet-check] The HTTP call equal to 'curl -sSL http://localhost:10248/healthz' failed with error: Get "http://localhost:10248/healthz": dial tcp [::1]:10248: connect: connection refused.
编辑 /etc/docker/daemon.json 添加如下启动项参数即可:
{
"exec-opts": ["native.cgroupdriver=systemd"]
}
重置Kubelet组件后重新执行init
[root@master ~]# kubeadm reset
[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-55jYmEc5-1645161001914)(https://note.youdao.com/yws/res/8/WEBRESOURCE65c8372e03c13e5d411bd57bbf50e7a8)]
4.4 重置Kubelet组件后重新执行init (如果报错connect: connection refused.)
[root@master ~]# kubeadm init --kubernetes-version=v1.22.3 \
> --apiserver-advertise-address=192.168.157.11 \
> --image-repository registry.aliyuncs.com/google_containers \
> --service-cidr=10.10.0.0/16 --pod-network-cidr=10.122.0.0/16
[init] Using Kubernetes version: v1.22.3
[preflight] Running pre-flight checks
[WARNING FileExisting-tc]: tc not found in system path
[preflight] Pulling images required for setting up a Kubernetes cluster
[preflight] This might take a minute or two, depending on the speed of your internet connection
[preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local master] and IPs [10.10.0.1 192.168.157.11]
[certs] Generating "apiserver-kubelet-client" certificate and key
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-client" certificate and key
[certs] Generating "etcd/ca" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [localhost master] and IPs [192.168.157.11 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [localhost master] and IPs [192.168.157.11 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "sa" key and public key
[kubeconfig] Using kubeconfig folder "/etc/kubernetes"
[kubeconfig] Writing "admin.conf" kubeconfig file
[kubeconfig] Writing "kubelet.conf" kubeconfig file
[kubeconfig] Writing "controller-manager.conf" kubeconfig file
[kubeconfig] Writing "scheduler.conf" kubeconfig file
[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
[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"
[etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
[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 6.011916 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.22" 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 master as control-plane by adding the labels: [node-role.kubernetes.io/master(deprecated) node-role.kubernetes.io/control-plane node.kubernetes.io/exclude-from-external-load-balancers]
[mark-control-plane] Marking the node master as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: pebsnd.5g1his0be5152t0g
[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 192.168.157.11:6443 --token pebsnd.5g1his0be5152t0g \
--discovery-token-ca-cert-hash sha256:d70ddea271d38a36d211570e5d049c3f08cdcbeac3b60573ac88768ac874d915
[root@master ~]#
出现上面successfully`信息之后,表示初始化已经完成
上面kubeadm join完整命令,因为后续node节点加入集群是需要用到,其中包含token
4.5 join后节点是NotReady,安装网络插件后就是Ready了
[root@master ~]# kubectl get node
NAME STATUS ROLES AGE VERSION
master NotReady control-plane,master 102s v1.22.3
node1 NotReady <none> 16s v1.22.3
node2 NotReady <none> 11s v1.22.3
4.6 安装Flannel网络插件 (Master节点执行)
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": "10.122.0.0/16",
"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
image: quay.io/coreos/flannel:v0.14.0
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: quay.io/coreos/flannel:v0.14.0
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/
volumes:
- name: run
hostPath:
path: /run/flannel
- name: cni
hostPath:
path: /etc/cni/net.d
- name: flannel-cfg
configMap:
name: kube-flannel-cfg
kubectl apply -f flannel.yaml
[root@master deploy]# kubectl get node
NAME STATUS ROLES AGE VERSION
master Ready control-plane,master 11m v1.22.3
node1 Ready <none> 9m43s v1.22.3
node2 Ready <none> 9m38s v1.22.3
[root@master deploy]#
Ready 状态就说明k8s集群搭建成功了
--------------------------------------------------------k8s集群搭建完毕-------------------------------------------------------
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