阿里云-部署CNI flannel集群网络

环境

1.一台阿里云作为k8s-master:8.130.XXX.231（阿里云私有IP）
2.Vmware 两个虚拟机分别作为
k8s-node1:192.168.40.131
k8s-node2:192.168.40.131
3.安装Docker

部署过程

k8s-master,k8s-node1,k8s-node2 初始操作

# 关闭防火墙
systemctl stop firewalld
systemctl disable firewalld

# 关闭selinux
sed -i 's/enforcing/disabled/' /etc/selinux/config  # 永久

# 关闭swap
sed -ri 's/.*swap.*/#&/' /etc/fstab    # 永久
# 关闭完swap后，一定要重启一下虚拟机！！！

# 根据规划设置主机名
hostnamectl set-hostname k8s-master/k8s-node1/k8s-node2

# 在k8s-master添加hosts
cat >> /etc/hosts << EOF
192.168.113.120 k8s-master
192.168.113.121 k8s-node1
192.168.113.122 k8s-node2
EOF

# 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
EOF

sysctl --system  # 生效

# 时间同步
yum install ntpdate -y
ntpdate time.windows.com

k8s-master,k8s-node1,k8s-node2 添加阿里云 yum 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

k8s-master,k8s-node1,k8s-node2 安装 kubeadm、kubelet、kubectl

yum install -y kubelet-1.23.6 kubeadm-1.23.6 kubectl-1.23.6

systemctl enable kubelet

# 配置关闭 Docker 的 cgroups，修改 /etc/docker/daemon.json，加入以下内容
"exec-opts": ["native.cgroupdriver=systemd"]

# 重启 docker
systemctl daemon-reload
systemctl restart docker

配置 iptables 转发 IP ，使云服务器网络互通

# 在主节点 master
sudo iptables -t nat -A OUTPUT -d <主节点公网IP> -j DNAT --to-destination <主节点私有IP>

# 在 node 节点上
sudo iptables -t nat -A OUTPUT -d <主节点私有IP> -j DNAT --to-destination <主节点公网IP>

k8s-master部署 Kubernetes Master

# 在 Master 节点下执行

kubeadm init \
      --apiserver-advertise-address=阿里云私有IP \
      --image-repository registry.aliyuncs.com/google_containers \
      --kubernetes-version v1.23.6 \
      --service-cidr=10.96.0.0/12 \
      --pod-network-cidr=10.244.0.0/16

在这里插入图片描述
这里先记下来kubeadm join command，用在后面加入节点使用

# 安装成功后，复制如下配置并执行
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

kubectl get nodes

k8s-node1,k8s-node2加入 Kubernetes Node

分别在 k8s-node1 和 k8s-node2 执行刚才记下来的kubeadm join command

# 下方命令可以在 k8s master 控制台初始化成功后复制 join 命令

kubeadm join 192.168.113.120:6443 --token w34ha2.66if2c8nwmeat9o7 --discovery-token-ca-cert-hash sha256:20e2227554f8883811c01edd850f0cf2f396589d32b57b9984de3353a7389477

# 如果初始化的 token 不小心清空了，可以通过如下命令获取或者重新申请
# 如果 token 已经过期，就重新申请
kubeadm token create

# token 没有过期可以通过如下命令获取
kubeadm token list

# 获取 --discovery-token-ca-cert-hash 值，得到值后需要在前面拼接上 sha256:
openssl x509 -pubkey -in /etc/kubernetes/pki/ca.crt | openssl rsa -pubin -outform der 2>/dev/null | \
openssl dgst -sha256 -hex | sed 's/^.* //'

#重启节点
systemctl restart kubelet

k8s-master 部署 CNI 网络插件

mkdir /opt/k8s
touch flannel.yml
kubectl apply -f kube-flannel.yml

flannel.yml

apiVersion: v1
kind: Namespace
metadata:
  labels:
    k8s-app: flannel
    pod-security.kubernetes.io/enforce: privileged
  name: kube-flannel
---
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-app: flannel
  name: flannel
  namespace: kube-flannel
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    k8s-app: flannel
  name: flannel
rules:
- apiGroups:
  - ""
  resources:
  - pods
  verbs:
  - get
- apiGroups:
  - ""
  resources:
  - nodes
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - nodes/status
  verbs:
  - patch
- apiGroups:
  - networking.k8s.io
  resources:
  - clustercidrs
  verbs:
  - list
  - watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    k8s-app: flannel
  name: flannel
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: flannel
subjects:
- kind: ServiceAccount
  name: flannel
  namespace: kube-flannel
---
apiVersion: v1
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"
      }
    }
kind: ConfigMap
metadata:
  labels:
    app: flannel
    k8s-app: flannel
    tier: node
  name: kube-flannel-cfg
  namespace: kube-flannel
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  labels:
    app: flannel
    k8s-app: flannel
    tier: node
  name: kube-flannel-ds
  namespace: kube-flannel
spec:
  selector:
    matchLabels:
      app: flannel
      k8s-app: flannel
  template:
    metadata:
      labels:
        app: flannel
        k8s-app: flannel
        tier: node
    spec:
      affinity:
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: kubernetes.io/os
                operator: In
                values:
                - linux
      containers:
      - args:
        - --ip-masq
        - --kube-subnet-mgr
        command:
        - /opt/bin/flanneld
        command: ["/bin/bash", "-ce", "tail -f /dev/null"]
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: EVENT_QUEUE_DEPTH
          value: "5000"
        image: registry.cn-hangzhou.aliyuncs.com/liuk8s/flannel:v0.21.5
        name: kube-flannel
        resources:
          requests:
            cpu: 100m
            memory: 50Mi
        securityContext:
          capabilities:
            add:
            - NET_ADMIN
            - NET_RAW
          privileged: false
        volumeMounts:
        - mountPath: /run/flannel
          name: run
        - mountPath: /etc/kube-flannel/
          name: flannel-cfg
        - mountPath: /run/xtables.lock
          name: xtables-lock
      hostNetwork: true
      initContainers:
      - args:
        - -f
        - /flannel
        - /opt/cni/bin/flannel
        command:
        - cp
        image: registry.cn-hangzhou.aliyuncs.com/liuk8s/flannel-cni-plugin:v1.1.2
        name: install-cni-plugin
        volumeMounts:
        - mountPath: /opt/cni/bin
          name: cni-plugin
      - args:
        - -f
        - /etc/kube-flannel/cni-conf.json
        - /etc/cni/net.d/10-flannel.conflist
        command:
        - cp
        image: registry.cn-hangzhou.aliyuncs.com/liuk8s/flannel:v0.21.5
        name: install-cni
        volumeMounts:
        - mountPath: /etc/cni/net.d
          name: cni
        - mountPath: /etc/kube-flannel/
          name: flannel-cfg
      priorityClassName: system-node-critical
      serviceAccountName: flannel
      tolerations:
      - effect: NoSchedule
        operator: Exists
      volumes:
      - hostPath:
          path: /run/flannel
        name: run
      - hostPath:
          path: /opt/cni/bin
        name: cni-plugin
      - hostPath:
          path: /etc/cni/net.d
        name: cni
      - configMap:
          name: kube-flannel-cfg
        name: flannel-cfg
      - hostPath:
          path: /run/xtables.lock
          type: FileOrCreate
        name: xtables-lock

创建完成后能看到kube-flannel下的pods都在Running状态

#所有命名空间下的pods
kubectl get pod --all-namespaces

如果没有看到Running状态，使用如下command查看问题

kubectl describe po  kube-flannel-ds-f6cgc  -n kube-flannel

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k8s-master上查看nodes都是Ready状态

kubectl get nodes

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k8s-master配置nginx样例测试

# 创建部署
kubectl create deployment nginx --image=nginx

# 暴露端口
kubectl expose deployment nginx --port=80 --type=NodePort

# 查看 pod 以及服务信息
kubectl get pod,svc

nginx pods是Running状态
在这里插入图片描述

http://192.168.40.132:31113/
在这里插入图片描述
在部署Nginx的时候遇到一个问题

我以为是k8s-master没有这个文件，但是我看了k8s-master是有这个文件的，想了好久才知道，它是要部署到node，所以node也要有这个文件，所以我把k8s-master的文件也同步复制到node