Kind + Flannel + Multus-CNI 快速验证环境搭建指南

概述

本指南将帮助您使用 Kind (Kubernetes in Docker) 快速创建一个 Kubernetes 环境,并在其中部署和验证 Flannel + Multus-CNI 多网段隔离方案。这是一个完整的端到端验证环境,适合开发、测试和学习使用。

环境特点

  • 快速部署:5分钟内完成集群创建
  • 完整功能:支持多网段隔离验证
  • 易于清理:一键删除整个环境
  • 资源友好:适合本地开发机器运行

环境要求

系统要求

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# 检查系统信息
uname -a

# 检查可用内存(建议 8GB+)
free -h

# 检查磁盘空间(建议 20GB+)
df -h

必需软件

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# 1. Docker 安装和配置
# macOS
brew install docker
# 或者下载 Docker Desktop

# Linux (Ubuntu/Debian)
sudo apt-get update
sudo apt-get install docker.io
sudo systemctl enable docker
sudo systemctl start docker
sudo usermod -aG docker $USER

# 验证 Docker
docker version
docker run hello-world
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# 2. Kind 安装
# macOS
brew install kind

# Linux
curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.20.0/kind-linux-amd64
chmod +x ./kind
sudo mv ./kind /usr/local/bin/kind

# 验证 Kind
kind version
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# 3. kubectl 安装
# macOS
brew install kubectl

# Linux
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
chmod +x kubectl
sudo mv kubectl /usr/local/bin/

# 验证 kubectl
kubectl version --client
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# 4. Helm 安装(可选)
# macOS
brew install helm

# Linux
curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash

# 验证 Helm
helm version

Kind 集群配置

1. 创建 Kind 配置文件

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# kind-config.yaml
kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
name: flannel-multus-demo
networking:
  # 禁用默认 CNI,我们将手动安装 Flannel
  disableDefaultCNI: true
  # 配置 Pod 子网
  podSubnet: "10.244.0.0/16"
  # 配置 Service 子网
  serviceSubnet: "10.96.0.0/12"
  # API Server 端口
  apiServerPort: 6443
nodes:
# 控制平面节点
- role: control-plane
  image: kindest/node:v1.28.0
  kubeadmConfigPatches:
  - |
    kind: InitConfiguration
    nodeRegistration:
      kubeletExtraArgs:
        node-labels: "ingress-ready=true"
  extraPortMappings:
  # HTTP 端口映射
  - containerPort: 80
    hostPort: 80
    protocol: TCP
  # HTTPS 端口映射
  - containerPort: 443
    hostPort: 443
    protocol: TCP
  # 额外的网络接口配置
  extraMounts:
  - hostPath: /dev
    containerPath: /dev
    propagation: HostToContainer
# 工作节点 1
- role: worker
  image: kindest/node:v1.28.0
  labels:
    node-type: "business"
  extraMounts:
  - hostPath: /dev
    containerPath: /dev
    propagation: HostToContainer
# 工作节点 2
- role: worker
  image: kindest/node:v1.28.0
  labels:
    node-type: "storage"
  extraMounts:
  - hostPath: /dev
    containerPath: /dev
    propagation: HostToContainer

2. 创建集群

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# 创建 Kind 集群
kind create cluster --config=kind-config.yaml

# 验证集群状态
kubectl cluster-info
kubectl get nodes -o wide

# 检查节点标签
kubectl get nodes --show-labels

3. 集群基础配置

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# 等待节点就绪
kubectl wait --for=condition=Ready nodes --all --timeout=300s

# 检查系统 Pod 状态
kubectl get pods -n kube-system

# 由于禁用了默认 CNI,节点会显示 NotReady,这是正常的
kubectl get nodes

Flannel 部署

1. 下载 Flannel 配置

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# 下载官方 Flannel 配置
wget https://github.com/flannel-io/flannel/releases/latest/download/kube-flannel.yml

# 或者使用 curl
curl -O https://github.com/flannel-io/flannel/releases/latest/download/kube-flannel.yml

2. 修改 Flannel 配置

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# 备份原始配置
cp kube-flannel.yml kube-flannel.yml.backup

# 修改配置以适配 Kind 环境
cat > flannel-kind-patch.yaml << 'EOF'
apiVersion: v1
kind: ConfigMap
metadata:
  name: kube-flannel-cfg
  namespace: kube-flannel
  labels:
    tier: node
    app: flannel
    k8s-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"
      }
    }
EOF

3. 部署 Flannel

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# 创建 Flannel 命名空间
kubectl create namespace kube-flannel

# 应用修改后的配置
kubectl apply -f flannel-kind-patch.yaml

# 部署 Flannel
kubectl apply -f kube-flannel.yml

# 等待 Flannel Pod 就绪
kubectl wait --for=condition=Ready pods -l app=flannel -n kube-flannel --timeout=300s

# 验证 Flannel 状态
kubectl get pods -n kube-flannel
kubectl logs -n kube-flannel -l app=flannel

4. 验证基础网络

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# 检查节点状态(应该变为 Ready)
kubectl get nodes

# 检查 CNI 配置
for node in $(kubectl get nodes -o name | cut -d/ -f2); do
    echo "=== Node: $node ==="
    docker exec $node ls -la /etc/cni/net.d/
    docker exec $node cat /etc/cni/net.d/10-flannel.conflist
done

# 测试基础网络连通性
kubectl run test-pod --image=busybox --rm -it --restart=Never -- /bin/sh
# 在 Pod 中执行:ping kubernetes.default.svc.cluster.local

Multus-CNI 部署

1. 创建 Multus 配置

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# 创建 Multus 系统命名空间
kubectl create namespace multus-system

# 创建 Multus ConfigMap
cat > multus-config.yaml << 'EOF'
apiVersion: v1
kind: ConfigMap
metadata:
  name: multus-cni-config
  namespace: multus-system
  labels:
    tier: node
    app: multus
data:
  cni-conf.json: |
    {
      "cniVersion": "0.3.1",
      "name": "multus-cni-network",
      "type": "multus",
      "capabilities": {
        "portMappings": true
      },
      "delegates": [
        {
          "cniVersion": "0.3.1",
          "name": "default-cni-network",
          "plugins": [
            {
              "type": "flannel",
              "delegate": {
                "hairpinMode": true,
                "isDefaultGateway": true
              }
            },
            {
              "type": "portmap",
              "capabilities": {
                "portMappings": true
              }
            }
          ]
        }
      ],
      "kubeconfig": "/etc/cni/net.d/multus.d/multus.kubeconfig"
    }
EOF

kubectl apply -f multus-config.yaml

2. 部署 Multus DaemonSet

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# 创建 Multus RBAC
cat > multus-rbac.yaml << 'EOF'
apiVersion: v1
kind: ServiceAccount
metadata:
  name: multus
  namespace: multus-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: multus
rules:
- apiGroups: ["k8s.cni.cncf.io"]
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - ""
  resources:
  - pods
  - pods/status
  verbs:
  - get
  - update
- apiGroups:
  - ""
  - events.k8s.io
  resources:
  - events
  verbs:
  - create
  - patch
  - update
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: multus
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: multus
subjects:
- kind: ServiceAccount
  name: multus
  namespace: multus-system
EOF

kubectl apply -f multus-rbac.yaml
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# 创建 Multus DaemonSet
cat > multus-daemonset.yaml << 'EOF'
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: kube-multus-ds
  namespace: multus-system
  labels:
    tier: node
    app: multus
    name: multus
spec:
  selector:
    matchLabels:
      name: multus
  updateStrategy:
    type: RollingUpdate
  template:
    metadata:
      labels:
        tier: node
        app: multus
        name: multus
    spec:
      hostNetwork: true
      tolerations:
      - operator: Exists
        effect: NoSchedule
      - operator: Exists
        effect: NoExecute
      serviceAccountName: multus
      containers:
      - name: kube-multus
        image: ghcr.io/k8snetworkplumbingwg/multus-cni:v4.0.2
        command: ["/entrypoint.sh"]
        args:
        - "--multus-conf-file=auto"
        - "--multus-autoconfig-dir=/host/etc/cni/net.d"
        - "--cni-conf-dir=/host/etc/cni/net.d"
        - "--multus-kubeconfig-file-host=/etc/cni/net.d/multus.d/multus.kubeconfig"
        - "--cleanup-config-on-exit=true"
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
          limits:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: true
        volumeMounts:
        - name: cni
          mountPath: /host/etc/cni/net.d
        - name: cnibin
          mountPath: /host/opt/cni/bin
        - name: multus-cfg
          mountPath: /tmp/multus-conf
      terminationGracePeriodSeconds: 10
      volumes:
      - name: cni
        hostPath:
          path: /etc/cni/net.d
      - name: cnibin
        hostPath:
          path: /opt/cni/bin
      - name: multus-cfg
        configMap:
          name: multus-cni-config
          items:
          - key: cni-conf.json
            path: 70-multus.conf
EOF

kubectl apply -f multus-daemonset.yaml

3. 验证 Multus 部署

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# 等待 Multus Pod 就绪
kubectl wait --for=condition=Ready pods -l name=multus -n multus-system --timeout=300s

# 检查 Multus 状态
kubectl get pods -n multus-system
kubectl logs -n multus-system -l name=multus

# 验证 CNI 配置
for node in $(kubectl get nodes -o name | cut -d/ -f2); do
    echo "=== Node: $node ==="
    docker exec $node ls -la /etc/cni/net.d/
done

网络附件定义创建

1. 创建测试命名空间

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# 创建业务命名空间
kubectl create namespace business-apps
kubectl create namespace storage-apps
kubectl create namespace test-apps

# 添加命名空间标签
kubectl label namespace business-apps name=business-apps
kubectl label namespace storage-apps name=storage-apps
kubectl label namespace test-apps name=test-apps

2. 创建 MacVLAN 网络(模拟)

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# macvlan-network.yaml
apiVersion: "k8s.cni.cncf.io/v1"
kind: NetworkAttachmentDefinition
metadata:
  name: macvlan-network
  namespace: business-apps
spec:
  config: '{
    "cniVersion": "0.3.1",
    "type": "macvlan",
    "master": "eth0",
    "mode": "bridge",
    "ipam": {
      "type": "host-local",
      "subnet": "192.168.100.0/24",
      "rangeStart": "192.168.100.10",
      "rangeEnd": "192.168.100.100",
      "gateway": "192.168.100.1"
    }
  }'

3. 创建 Bridge 网络

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# bridge-network.yaml
apiVersion: "k8s.cni.cncf.io/v1"
kind: NetworkAttachmentDefinition
metadata:
  name: bridge-network
  namespace: storage-apps
spec:
  config: '{
    "cniVersion": "0.3.1",
    "type": "bridge",
    "bridge": "br-storage",
    "isGateway": true,
    "isDefaultGateway": false,
    "ipMasq": true,
    "hairpinMode": true,
    "ipam": {
      "type": "host-local",
      "subnet": "172.16.0.0/24",
      "rangeStart": "172.16.0.10",
      "rangeEnd": "172.16.0.100",
      "gateway": "172.16.0.1"
    }
  }'

4. 创建 Host-Local 网络

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# host-local-network.yaml
apiVersion: "k8s.cni.cncf.io/v1"
kind: NetworkAttachmentDefinition
metadata:
  name: host-local-network
  namespace: test-apps
spec:
  config: '{
    "cniVersion": "0.3.1",
    "type": "host-local",
    "subnet": "10.100.0.0/24",
    "rangeStart": "10.100.0.10",
    "rangeEnd": "10.100.0.100",
    "gateway": "10.100.0.1"
  }'

5. 应用网络附件定义

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# 应用所有网络附件定义
kubectl apply -f macvlan-network.yaml
kubectl apply -f bridge-network.yaml
kubectl apply -f host-local-network.yaml

# 验证网络附件定义
kubectl get network-attachment-definitions --all-namespaces
kubectl describe network-attachment-definitions macvlan-network -n business-apps

验证应用部署

1. 单网络测试应用

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# single-network-test.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: single-network-test
  namespace: test-apps
spec:
  replicas: 2
  selector:
    matchLabels:
      app: single-network-test
  template:
    metadata:
      labels:
        app: single-network-test
    spec:
      containers:
      - name: test-container
        image: busybox:1.35
        command: ["sleep", "3600"]
        resources:
          requests:
            cpu: 50m
            memory: 64Mi
          limits:
            cpu: 100m
            memory: 128Mi
---
apiVersion: v1
kind: Service
metadata:
  name: single-network-service
  namespace: test-apps
spec:
  selector:
    app: single-network-test
  ports:
  - port: 80
    targetPort: 80
  type: ClusterIP

2. 多网络测试应用

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# multi-network-test.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: multi-network-test
  namespace: business-apps
spec:
  replicas: 2
  selector:
    matchLabels:
      app: multi-network-test
  template:
    metadata:
      labels:
        app: multi-network-test
      annotations:
        k8s.v1.cni.cncf.io/networks: |
          [
            {
              "name": "macvlan-network",
              "interface": "net1"
            }
          ]
    spec:
      containers:
      - name: test-container
        image: nicolaka/netshoot:latest
        command: ["sleep", "3600"]
        resources:
          requests:
            cpu: 100m
            memory: 128Mi
          limits:
            cpu: 200m
            memory: 256Mi
---
apiVersion: v1
kind: Service
metadata:
  name: multi-network-service
  namespace: business-apps
spec:
  selector:
    app: multi-network-test
  ports:
  - port: 80
    targetPort: 80
  type: ClusterIP

3. 存储网络测试应用

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# storage-network-test.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: storage-network-test
  namespace: storage-apps
spec:
  replicas: 1
  selector:
    matchLabels:
      app: storage-network-test
  template:
    metadata:
      labels:
        app: storage-network-test
      annotations:
        k8s.v1.cni.cncf.io/networks: |
          [
            {
              "name": "bridge-network",
              "interface": "storage0"
            }
          ]
    spec:
      containers:
      - name: storage-container
        image: minio/minio:latest
        command:
        - /bin/bash
        - -c
        args:
        - minio server /data --console-address ":9001"
        ports:
        - containerPort: 9000
          name: api
        - containerPort: 9001
          name: console
        resources:
          requests:
            cpu: 200m
            memory: 512Mi
          limits:
            cpu: 500m
            memory: 1Gi
        volumeMounts:
        - name: data
          mountPath: /data
      volumes:
      - name: data
        emptyDir: {}

4. 部署测试应用

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# 部署所有测试应用
kubectl apply -f single-network-test.yaml
kubectl apply -f multi-network-test.yaml
kubectl apply -f storage-network-test.yaml

# 等待 Pod 就绪
kubectl wait --for=condition=Ready pods --all --all-namespaces --timeout=300s

# 检查 Pod 状态
kubectl get pods --all-namespaces -o wide

网络验证测试

1. 基础网络连通性测试

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# 创建网络测试脚本
cat > network-verification.sh << 'EOF'
#!/bin/bash

echo "=== 1. 基础网络连通性测试 ==="

# 获取测试 Pod
SINGLE_POD=$(kubectl get pods -n test-apps -l app=single-network-test -o jsonpath='{.items[0].metadata.name}')
MULTI_POD=$(kubectl get pods -n business-apps -l app=multi-network-test -o jsonpath='{.items[0].metadata.name}')
STORAGE_POD=$(kubectl get pods -n storage-apps -l app=storage-network-test -o jsonpath='{.items[0].metadata.name}')

echo "测试 Pod:"
echo "  Single Network: $SINGLE_POD"
echo "  Multi Network: $MULTI_POD"
echo "  Storage Network: $STORAGE_POD"

echo "\n=== 2. 网络接口检查 ==="

# 检查单网络 Pod
echo "单网络 Pod 接口:"
kubectl exec -n test-apps $SINGLE_POD -- ip addr show

# 检查多网络 Pod
echo "\n多网络 Pod 接口:"
kubectl exec -n business-apps $MULTI_POD -- ip addr show

# 检查存储网络 Pod
echo "\n存储网络 Pod 接口:"
kubectl exec -n storage-apps $STORAGE_POD -- ip addr show

echo "\n=== 3. 路由表检查 ==="

# 检查路由表
echo "多网络 Pod 路由表:"
kubectl exec -n business-apps $MULTI_POD -- ip route show

echo "\n=== 4. DNS 解析测试 ==="

# DNS 解析测试
echo "DNS 解析测试:"
kubectl exec -n test-apps $SINGLE_POD -- nslookup kubernetes.default.svc.cluster.local

echo "\n=== 5. 服务连通性测试 ==="

# 服务连通性测试
echo "集群内服务访问测试:"
kubectl exec -n test-apps $SINGLE_POD -- wget -qO- --timeout=5 http://single-network-service.test-apps.svc.cluster.local || echo "连接失败"

echo "\n=== 6. 跨命名空间连通性测试 ==="

# 跨命名空间连通性
echo "跨命名空间访问测试:"
kubectl exec -n business-apps $MULTI_POD -- wget -qO- --timeout=5 http://single-network-service.test-apps.svc.cluster.local || echo "连接失败"

echo "\n=== 验证完成 ==="
EOF

chmod +x network-verification.sh
./network-verification.sh

2. 多网络接口验证

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# 详细的多网络接口验证
cat > multi-network-verification.sh << 'EOF'
#!/bin/bash

echo "=== 多网络接口详细验证 ==="

# 获取多网络 Pod
MULTI_POD=$(kubectl get pods -n business-apps -l app=multi-network-test -o jsonpath='{.items[0].metadata.name}')

if [ -z "$MULTI_POD" ]; then
    echo "未找到多网络测试 Pod"
    exit 1
fi

echo "测试 Pod: $MULTI_POD"

echo "\n=== 1. 网络接口详情 ==="
kubectl exec -n business-apps $MULTI_POD -- ip -d addr show

echo "\n=== 2. 网络接口统计 ==="
kubectl exec -n business-apps $MULTI_POD -- ip -s link show

echo "\n=== 3. 路由表详情 ==="
kubectl exec -n business-apps $MULTI_POD -- ip route show table all

echo "\n=== 4. ARP 表 ==="
kubectl exec -n business-apps $MULTI_POD -- arp -a

echo "\n=== 5. 网络命名空间 ==="
kubectl exec -n business-apps $MULTI_POD -- ip netns list

echo "\n=== 6. 网络连通性测试 ==="

# 测试默认接口连通性
echo "默认接口连通性:"
kubectl exec -n business-apps $MULTI_POD -- ping -c 3 kubernetes.default.svc.cluster.local

# 测试附加接口(如果配置了 IP)
echo "\n检查附加网络接口配置:"
kubectl exec -n business-apps $MULTI_POD -- ip addr show net1 2>/dev/null || echo "net1 接口未配置或不存在"

echo "\n=== 验证完成 ==="
EOF

chmod +x multi-network-verification.sh
./multi-network-verification.sh

3. 网络性能测试

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# 网络性能测试
cat > network-performance-test.sh << 'EOF'
#!/bin/bash

echo "=== 网络性能测试 ==="

# 部署 iperf3 服务器
cat > iperf3-server.yaml << 'YAML'
apiVersion: apps/v1
kind: Deployment
metadata:
  name: iperf3-server
  namespace: test-apps
spec:
  replicas: 1
  selector:
    matchLabels:
      app: iperf3-server
  template:
    metadata:
      labels:
        app: iperf3-server
    spec:
      containers:
      - name: iperf3-server
        image: networkstatic/iperf3:latest
        command: ["iperf3", "-s"]
        ports:
        - containerPort: 5201
---
apiVersion: v1
kind: Service
metadata:
  name: iperf3-server-service
  namespace: test-apps
spec:
  selector:
    app: iperf3-server
  ports:
  - port: 5201
    targetPort: 5201
  type: ClusterIP
YAML

kubectl apply -f iperf3-server.yaml

# 等待服务就绪
echo "等待 iperf3 服务就绪..."
kubectl wait --for=condition=Ready pods -l app=iperf3-server -n test-apps --timeout=60s

# 获取客户端 Pod
CLIENT_POD=$(kubectl get pods -n business-apps -l app=multi-network-test -o jsonpath='{.items[0].metadata.name}')

if [ -n "$CLIENT_POD" ]; then
    echo "\n=== 执行性能测试 ==="
    echo "客户端 Pod: $CLIENT_POD"
    
    # TCP 性能测试
    echo "\nTCP 性能测试 (10秒):"
    kubectl exec -n business-apps $CLIENT_POD -- iperf3 -c iperf3-server-service.test-apps.svc.cluster.local -t 10
    
    # UDP 性能测试
    echo "\nUDP 性能测试 (10秒):"
    kubectl exec -n business-apps $CLIENT_POD -- iperf3 -c iperf3-server-service.test-apps.svc.cluster.local -u -t 10
else
    echo "未找到客户端 Pod"
fi

echo "\n=== 性能测试完成 ==="
EOF

chmod +x network-performance-test.sh
./network-performance-test.sh

故障排查和调试

1. 集群状态检查

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# 创建集群诊断脚本
cat > cluster-diagnosis.sh << 'EOF'
#!/bin/bash

echo "=== Kind 集群诊断 ==="

echo "\n=== 1. 集群基本信息 ==="
kind get clusters
kubectl cluster-info
kubectl version --short

echo "\n=== 2. 节点状态 ==="
kubectl get nodes -o wide
kubectl describe nodes

echo "\n=== 3. 系统 Pod 状态 ==="
kubectl get pods --all-namespaces
kubectl get pods -n kube-system -o wide
kubectl get pods -n kube-flannel -o wide
kubectl get pods -n multus-system -o wide

echo "\n=== 4. 网络配置检查 ==="
for node in $(kubectl get nodes -o name | cut -d/ -f2); do
    echo "\n--- Node: $node ---"
    echo "CNI 配置:"
    docker exec $node ls -la /etc/cni/net.d/
    echo "\nCNI 二进制:"
    docker exec $node ls -la /opt/cni/bin/
    echo "\n网络接口:"
    docker exec $node ip addr show
done

echo "\n=== 5. 网络附件定义 ==="
kubectl get network-attachment-definitions --all-namespaces

echo "\n=== 6. 服务和端点 ==="
kubectl get services --all-namespaces
kubectl get endpoints --all-namespaces

echo "\n=== 7. 事件日志 ==="
kubectl get events --all-namespaces --sort-by='.lastTimestamp' | tail -20

echo "\n=== 诊断完成 ==="
EOF

chmod +x cluster-diagnosis.sh
./cluster-diagnosis.sh

2. 网络问题排查

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# 网络问题排查脚本
cat > network-troubleshoot.sh << 'EOF'
#!/bin/bash

echo "=== 网络问题排查 ==="

echo "\n=== 1. CNI 插件状态 ==="

# 检查 Flannel 状态
echo "Flannel 状态:"
kubectl get pods -n kube-flannel
kubectl logs -n kube-flannel -l app=flannel --tail=50

# 检查 Multus 状态
echo "\nMultus 状态:"
kubectl get pods -n multus-system
kubectl logs -n multus-system -l name=multus --tail=50

echo "\n=== 2. 网络配置验证 ==="

# 验证 CNI 配置文件
for node in $(kubectl get nodes -o name | cut -d/ -f2); do
    echo "\n--- Node: $node ---"
    echo "CNI 配置文件:"
    docker exec $node find /etc/cni/net.d/ -name "*.conf*" -exec cat {} \;
done

echo "\n=== 3. Pod 网络状态 ==="

# 检查 Pod 网络状态
for ns in $(kubectl get namespaces -o name | cut -d/ -f2); do
    pods=$(kubectl get pods -n $ns -o name 2>/dev/null)
    if [ -n "$pods" ]; then
        echo "\n--- Namespace: $ns ---"
        for pod in $pods; do
            pod_name=$(echo $pod | cut -d/ -f2)
            echo "Pod: $pod_name"
            kubectl exec -n $ns $pod_name -- ip addr show 2>/dev/null || echo "  无法访问 Pod 网络接口"
        done
    fi
done

echo "\n=== 4. 网络连通性测试 ==="

# 创建临时测试 Pod
kubectl run network-test --image=busybox --rm -it --restart=Never -- /bin/sh -c "
    echo '测试 DNS 解析:'
    nslookup kubernetes.default.svc.cluster.local
    echo '测试网络连通性:'
    ping -c 3 kubernetes.default.svc.cluster.local
" 2>/dev/null || echo "网络测试失败"

echo "\n=== 排查完成 ==="
EOF

chmod +x network-troubleshoot.sh
./network-troubleshoot.sh

3. 日志收集

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# 日志收集脚本
cat > collect-logs.sh << 'EOF'
#!/bin/bash

LOG_DIR="kind-logs-$(date +%Y%m%d-%H%M%S)"
mkdir -p $LOG_DIR

echo "=== 收集 Kind 集群日志 ==="
echo "日志目录: $LOG_DIR"

# 收集集群信息
echo "收集集群信息..."
kubectl cluster-info > $LOG_DIR/cluster-info.txt
kubectl get nodes -o wide > $LOG_DIR/nodes.txt
kubectl get pods --all-namespaces -o wide > $LOG_DIR/pods.txt
kubectl get services --all-namespaces > $LOG_DIR/services.txt
kubectl get network-attachment-definitions --all-namespaces > $LOG_DIR/network-attachments.txt

# 收集系统 Pod 日志
echo "收集系统 Pod 日志..."
mkdir -p $LOG_DIR/pod-logs

# Flannel 日志
kubectl logs -n kube-flannel -l app=flannel > $LOG_DIR/pod-logs/flannel.log

# Multus 日志
kubectl logs -n multus-system -l name=multus > $LOG_DIR/pod-logs/multus.log

# 测试应用日志
for ns in test-apps business-apps storage-apps; do
    pods=$(kubectl get pods -n $ns -o name 2>/dev/null)
    if [ -n "$pods" ]; then
        for pod in $pods; do
            pod_name=$(echo $pod | cut -d/ -f2)
            kubectl logs -n $ns $pod_name > $LOG_DIR/pod-logs/${ns}-${pod_name}.log 2>/dev/null
        done
    fi
done

# 收集事件
echo "收集事件日志..."
kubectl get events --all-namespaces --sort-by='.lastTimestamp' > $LOG_DIR/events.txt

# 收集节点配置
echo "收集节点配置..."
mkdir -p $LOG_DIR/node-configs
for node in $(kubectl get nodes -o name | cut -d/ -f2); do
    echo "收集节点 $node 配置..."
    docker exec $node ls -la /etc/cni/net.d/ > $LOG_DIR/node-configs/${node}-cni-configs.txt
    docker exec $node ip addr show > $LOG_DIR/node-configs/${node}-interfaces.txt
    docker exec $node ip route show > $LOG_DIR/node-configs/${node}-routes.txt
done

echo "日志收集完成: $LOG_DIR"
echo "可以使用以下命令打包日志:"
echo "tar -czf ${LOG_DIR}.tar.gz $LOG_DIR"
EOF

chmod +x collect-logs.sh
./collect-logs.sh

清理和重置

1. 清理测试资源

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# 清理测试应用
cat > cleanup-test-apps.sh << 'EOF'
#!/bin/bash

echo "=== 清理测试应用 ==="

# 删除测试应用
echo "删除测试应用..."
kubectl delete deployment --all -n test-apps
kubectl delete deployment --all -n business-apps
kubectl delete deployment --all -n storage-apps

# 删除服务
echo "删除服务..."
kubectl delete service --all -n test-apps
kubectl delete service --all -n business-apps
kubectl delete service --all -n storage-apps

# 删除网络附件定义
echo "删除网络附件定义..."
kubectl delete network-attachment-definitions --all --all-namespaces

# 删除测试命名空间
echo "删除测试命名空间..."
kubectl delete namespace test-apps
kubectl delete namespace business-apps
kubectl delete namespace storage-apps

echo "测试资源清理完成"
EOF

chmod +x cleanup-test-apps.sh
./cleanup-test-apps.sh

2. 重置集群

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# 重置集群脚本
cat > reset-cluster.sh << 'EOF'
#!/bin/bash

echo "=== 重置 Kind 集群 ==="

read -p "确定要重置集群吗?这将删除所有数据 (y/N): " confirm
if [[ $confirm != [yY] ]]; then
    echo "操作已取消"
    exit 0
fi

# 删除现有集群
echo "删除现有集群..."
kind delete cluster --name flannel-multus-demo

# 清理 Docker 资源
echo "清理 Docker 资源..."
docker system prune -f

# 重新创建集群
echo "重新创建集群..."
kind create cluster --config=kind-config.yaml

echo "集群重置完成"
echo "请重新部署 Flannel 和 Multus-CNI"
EOF

chmod +x reset-cluster.sh

3. 完全清理

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# 完全清理脚本
cat > complete-cleanup.sh << 'EOF'
#!/bin/bash

echo "=== 完全清理 Kind 环境 ==="

read -p "确定要完全清理环境吗?这将删除所有 Kind 集群和相关资源 (y/N): " confirm
if [[ $confirm != [yY] ]]; then
    echo "操作已取消"
    exit 0
fi

# 删除所有 Kind 集群
echo "删除所有 Kind 集群..."
for cluster in $(kind get clusters); do
    echo "删除集群: $cluster"
    kind delete cluster --name $cluster
done

# 清理 Docker 资源
echo "清理 Docker 资源..."
docker system prune -af
docker volume prune -f

# 清理配置文件
echo "清理配置文件..."
rm -f kind-config.yaml
rm -f kube-flannel.yml*
rm -f flannel-kind-patch.yaml
rm -f multus-*.yaml
rm -f *-network*.yaml
rm -f *-test.yaml
rm -f *.sh

echo "完全清理完成"
EOF

chmod +x complete-cleanup.sh

自动化脚本

1. 一键部署脚本

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# 创建一键部署脚本
cat > deploy-all.sh << 'EOF'
#!/bin/bash

set -e

echo "=== Kind + Flannel + Multus-CNI 一键部署 ==="

# 检查依赖
echo "检查依赖..."
command -v docker >/dev/null 2>&1 || { echo "Docker 未安装"; exit 1; }
command -v kind >/dev/null 2>&1 || { echo "Kind 未安装"; exit 1; }
command -v kubectl >/dev/null 2>&1 || { echo "kubectl 未安装"; exit 1; }

# 创建集群
echo "\n=== 1. 创建 Kind 集群 ==="
if kind get clusters | grep -q "flannel-multus-demo"; then
    echo "集群已存在,跳过创建"
else
    kind create cluster --config=kind-config.yaml
fi

# 等待节点就绪
echo "\n=== 2. 等待节点就绪 ==="
kubectl wait --for=condition=Ready nodes --all --timeout=300s

# 部署 Flannel
echo "\n=== 3. 部署 Flannel ==="
if ! kubectl get namespace kube-flannel >/dev/null 2>&1; then
    kubectl create namespace kube-flannel
fi
kubectl apply -f flannel-kind-patch.yaml
kubectl apply -f kube-flannel.yml
kubectl wait --for=condition=Ready pods -l app=flannel -n kube-flannel --timeout=300s

# 部署 Multus-CNI
echo "\n=== 4. 部署 Multus-CNI ==="
if ! kubectl get namespace multus-system >/dev/null 2>&1; then
    kubectl create namespace multus-system
fi
kubectl apply -f multus-config.yaml
kubectl apply -f multus-rbac.yaml
kubectl apply -f multus-daemonset.yaml
kubectl wait --for=condition=Ready pods -l name=multus -n multus-system --timeout=300s

# 创建测试命名空间
echo "\n=== 5. 创建测试命名空间 ==="
kubectl create namespace business-apps --dry-run=client -o yaml | kubectl apply -f -
kubectl create namespace storage-apps --dry-run=client -o yaml | kubectl apply -f -
kubectl create namespace test-apps --dry-run=client -o yaml | kubectl apply -f -

# 部署网络附件定义
echo "\n=== 6. 部署网络附件定义 ==="
kubectl apply -f macvlan-network.yaml
kubectl apply -f bridge-network.yaml
kubectl apply -f host-local-network.yaml

# 部署测试应用
echo "\n=== 7. 部署测试应用 ==="
kubectl apply -f single-network-test.yaml
kubectl apply -f multi-network-test.yaml
kubectl apply -f storage-network-test.yaml

# 等待应用就绪
echo "\n=== 8. 等待应用就绪 ==="
kubectl wait --for=condition=Ready pods --all --all-namespaces --timeout=300s

# 验证部署
echo "\n=== 9. 验证部署 ==="
echo "集群状态:"
kubectl get nodes
echo "\nPod 状态:"
kubectl get pods --all-namespaces
echo "\n网络附件定义:"
kubectl get network-attachment-definitions --all-namespaces

echo "\n=== 部署完成 ==="
echo "可以运行以下命令进行验证:"
echo "  ./network-verification.sh"
echo "  ./multi-network-verification.sh"
echo "  ./network-performance-test.sh"
EOF

chmod +x deploy-all.sh

2. 快速验证脚本

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# 创建快速验证脚本
cat > quick-verify.sh << 'EOF'
#!/bin/bash

echo "=== Kind + Flannel + Multus-CNI 快速验证 ==="

# 检查集群状态
echo "\n=== 1. 集群状态检查 ==="
kubectl get nodes
kubectl get pods --all-namespaces | grep -E "(flannel|multus)"

# 检查网络附件定义
echo "\n=== 2. 网络附件定义检查 ==="
kubectl get network-attachment-definitions --all-namespaces

# 检查测试应用
echo "\n=== 3. 测试应用状态 ==="
kubectl get pods --all-namespaces | grep -E "(test|business|storage)"

# 快速网络测试
echo "\n=== 4. 快速网络测试 ==="

# 获取测试 Pod
TEST_POD=$(kubectl get pods -n test-apps -l app=single-network-test -o jsonpath='{.items[0].metadata.name}' 2>/dev/null)
MULTI_POD=$(kubectl get pods -n business-apps -l app=multi-network-test -o jsonpath='{.items[0].metadata.name}' 2>/dev/null)

if [ -n "$TEST_POD" ]; then
    echo "基础网络测试 (Pod: $TEST_POD):"
    kubectl exec -n test-apps $TEST_POD -- ping -c 2 kubernetes.default.svc.cluster.local
else
    echo "未找到测试 Pod"
fi

if [ -n "$MULTI_POD" ]; then
    echo "\n多网络接口检查 (Pod: $MULTI_POD):"
    kubectl exec -n business-apps $MULTI_POD -- ip addr show | grep -E "(eth0|net1)"
else
    echo "未找到多网络 Pod"
fi

echo "\n=== 5. 验证结果 ==="
echo "✅ 集群运行正常"
echo "✅ Flannel CNI 工作正常"
echo "✅ Multus-CNI 工作正常"
echo "✅ 网络附件定义已创建"
echo "✅ 测试应用已部署"

echo "\n=== 快速验证完成 ==="
echo "如需详细验证,请运行:"
echo "  ./network-verification.sh"
EOF

chmod +x quick-verify.sh

总结

本指南提供了使用 Kind 快速创建和验证 Flannel + Multus-CNI 多网段隔离环境的完整方案:

🎯 实现目标

  1. 快速环境搭建:5分钟内完成完整环境部署
  2. 多网段隔离验证:验证不同网络平面的隔离效果
  3. 完整功能测试:包含网络连通性、性能和故障排查
  4. 自动化运维:提供一键部署和清理脚本

🔧 技术特性

  • Kind 集群:轻量级 Kubernetes 环境
  • Flannel CNI:提供基础集群网络
  • Multus-CNI:支持多网络接口
  • 多种网络类型:MacVLAN、Bridge、Host-Local
  • 完整验证:网络连通性、性能测试、故障排查

📋 使用流程

  1. 环境准备:安装 Docker、Kind、kubectl
  2. 一键部署:运行 ./deploy-all.sh
  3. 快速验证:运行 ./quick-verify.sh
  4. 详细测试:运行各种验证脚本
  5. 清理环境:运行清理脚本

🚀 扩展应用

  • 开发环境:本地开发和测试
  • CI/CD 集成:自动化测试流水线
  • 培训演示:云原生网络技术学习
  • 概念验证:新网络方案验证

这套方案为云原生网络技术的学习和验证提供了完整的实验环境,帮助快速理解和掌握 Kubernetes 多网段隔离技术。

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