百度网站官方认证怎么做2345王牌浏览器
环境准备
- 节点数量：2台虚拟机 centos7
- 硬件配置：master节点内存至少3G（2G后面在master节点初始化集群时会报错，内存不够），node节点可以2G，CPU至少2个，硬盘至少30G
- 网络要求：多个节点之间网络互通，每个节点能访问外网
集群规划
这两个名称是准备设置的主机名称
- k8s-master
- k8s-node1
设置主机名
hostnamectl set-hostname k8s-master
hostnamectl set-hostname k8s-node1
# 查看主机名
hostname同步host文件
如果DNS不支持主机名称解析，还需要在每台机器的/etc/hosts文件添加主机名和ip的对应关系。所有机器都要同步。我自己只搞了2台虚拟机做集群。
cat >> /etc/hosts <<EOF
192.168.35.133 k8s-master
192.168.35.132 k8s-node1
EOF关闭防火墙
所有机器都要关闭
systemctl stop firewalld && systemctl disable firewalld关闭SELINUX
setenforce 0 && sed -i 's/SELINUX=enforcing/SELINUX=disable/g' /etc/selinux/config
关闭swap分区
每一台机器都要关闭。为什么要关？自己百度去
swapoff -a && sed -ri 's/ .*swap.*/#&/' /etc/fstab同步时间
yum install ntpdate -y
ntpdate ntp1.aliyun.com;hwclock --systohc安装containerd
每台机器都要安装
# 安装yum-config-manger依赖
yum install -y yum-utils device-mapper-persistent-data lvm2# 添加containerd yum源
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo# 安装containerd
yum install -y containerd.io cri-tools# 配置containerd
cat > /etc/containerd/config.toml <<EOF
disabled_plugins = ["restart"]
[plugins.linux]
shim_debug = true
[plugins.cri.registry.mirrors."docker.io"]
endpoint = ["https://frz7i079.mirror.aliyuncs.com"]
[plugins.cri]
sandbox_image="registry.aliyuncs.com/google_containers/pause:3.2"
EOF# 启动containerd服务 并设置开机启动
systemctl enable containerd && systemctl start containerd && systemctl status containerd# 配置 containerd 配置
cat > /etc/modules-load.d/containerd.conf << EOF
overlay
br_netfilter
EOF# 配置k8s网络配置
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
EOF# 加载overlay br_netfilter模块
modprobe overlay
modprobe br_netfilter# 查看当前配置是否生效
sysctl -p /etc/sysctl.d/k8s.conf添加源
每台机器都安装。你的cpu是x86的就选择x86的，反之选择arm的。
# 查看源
yum repolist添加x86的源
cat <<EOF > kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gogkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF# 移动并修改
mv kubernetes.repo /etc/yum.repos.d添加arm的源
cat << EOF > kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-aarch64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gogkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF# 移动并修改
mv kubernetes.repo /etc/yum.repos.d安装K8s
每台机器都要安装。
# 安装最新版本
yum install -y kubelet kubeadm kubectl# 指定版本安装
yum install -y kubelet-1.26.0 kubeadm-1.26.0 kubectl-1.26.0# 启动kubelet
sudo systemctl enable kubelet && sudo systemctl start kubelet && systemctl status kubelet初始化集群
只需要在master节点上初始化即可。
kubeadm init \
--apiserver-advertise-address=192.168.35.133 \
--image-repository registry.aliyuncs.com/google_containers \
--pod-network-cidr=10.244.0.0/16- --apiserver-advertise-address：master节点的IP地址
- --image-repository：选择用于拉取控制平面镜像的容器仓库，默认的太慢了，换成阿里云的
- --pod-network-cidr：指明pod网络可以使用的IP地址段。设置后控制平面将会为每一个节点自动分派CIDRs
# master节点执行
mkdir -p $HOME/.kube# master节点执行
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config# master节点执行
sudo chown $(id -u):$(id -g) $HOME/.kube/confignode加入集群
# 所有node节点执行
kubeadm join 192.168.35.133:6443 --token bzotcq.9uev0sf5a19pgilp \
--discovery-token-ca-cert-hash sha256:98183ddb45ca9f9ee224c3a77fac6b524d2bf1dd31f911f5d023639f80abd43f
master检查是否加入集群成功
kubectl get nodes
解决节点NotReady状态
虽然集群搭建起来，但是不可用，需用通过网络插件解决该问题 https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml 在master节点创建kube-flannel.yml，输入下面内容
vi kube-flannel.yml---
kind: Namespace
apiVersion: v1
metadata:name: kube-flannellabels:k8s-app: flannelpod-security.kubernetes.io/enforce: privileged
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:labels:k8s-app: flannelname: flannel
rules:
- apiGroups:- ""resources:- podsverbs:- get
- apiGroups:- ""resources:- nodesverbs:- get- list- watch
- apiGroups:- ""resources:- nodes/statusverbs:- patch
- apiGroups:- networking.k8s.ioresources:- clustercidrsverbs:- list- watch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:labels:k8s-app: flannelname: flannel
roleRef:apiGroup: rbac.authorization.k8s.iokind: ClusterRolename: flannel
subjects:
- kind: ServiceAccountname: flannelnamespace: kube-flannel
---
apiVersion: v1
kind: ServiceAccount
metadata:labels:k8s-app: flannelname: flannelnamespace: kube-flannel
---
kind: ConfigMap
apiVersion: v1
metadata:name: kube-flannel-cfgnamespace: kube-flannellabels:tier: nodek8s-app: flannelapp: 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-dsnamespace: kube-flannellabels:tier: nodeapp: flannelk8s-app: flannel
spec:selector:matchLabels:app: flanneltemplate:metadata:labels:tier: nodeapp: flannelspec:affinity:nodeAffinity:requiredDuringSchedulingIgnoredDuringExecution:nodeSelectorTerms:- matchExpressions:- key: kubernetes.io/osoperator: Invalues:- linuxhostNetwork: truepriorityClassName: system-node-criticaltolerations:- operator: Existseffect: NoScheduleserviceAccountName: flannelinitContainers:- name: install-cni-pluginimage: docker.io/flannel/flannel-cni-plugin:v1.1.2#image: docker.io/rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.2command:- cpargs:- -f- /flannel- /opt/cni/bin/flannelvolumeMounts:- name: cni-pluginmountPath: /opt/cni/bin- name: install-cniimage: docker.io/flannel/flannel:v0.22.0#image: docker.io/rancher/mirrored-flannelcni-flannel:v0.22.0command:- cpargs:- -f- /etc/kube-flannel/cni-conf.json- /etc/cni/net.d/10-flannel.conflistvolumeMounts:- name: cnimountPath: /etc/cni/net.d- name: flannel-cfgmountPath: /etc/kube-flannel/containers:- name: kube-flannelimage: docker.io/flannel/flannel:v0.22.0#image: docker.io/rancher/mirrored-flannelcni-flannel:v0.22.0command:- /opt/bin/flanneldargs:- --ip-masq- --kube-subnet-mgrresources:requests:cpu: "100m"memory: "50Mi"securityContext:privileged: falsecapabilities:add: ["NET_ADMIN", "NET_RAW"]env:- name: POD_NAMEvalueFrom:fieldRef:fieldPath: metadata.name- name: POD_NAMESPACEvalueFrom:fieldRef:fieldPath: metadata.namespace- name: EVENT_QUEUE_DEPTHvalue: "5000"volumeMounts:- name: runmountPath: /run/flannel- name: flannel-cfgmountPath: /etc/kube-flannel/- name: xtables-lockmountPath: /run/xtables.lockvolumes:- name: runhostPath:path: /run/flannel- name: cni-pluginhostPath:path: /opt/cni/bin- name: cnihostPath:path: /etc/cni/net.d- name: flannel-cfgconfigMap:name: kube-flannel-cfg- name: xtables-lockhostPath:path: /run/xtables.locktype: FileOrCreate
kubectl apply -f kube-flannel.yml
如果node节点还是NotReady状态，可尝试重启服务，等待几分钟再次查询
# 重启kubelet
sudo systemctl restart kubelet