容器化部署实战：AG-UI服务Kubernetes上云终极指南

【免费下载链接】ag-ui 项目地址: https://gitcode.com/gh_mirrors/agu/ag-ui

AG-UI是一个轻量级的开源协议，专为AI智能体与用户界面应用之间的标准化交互而设计。本文将为您详细介绍如何将AG-UI服务部署到Kubernetes集群，实现高效的容器化管理和弹性扩缩容。

🚀 为什么选择Kubernetes部署AG-UI？

AG-UI作为AI智能体交互协议，需要高可用性、弹性伸缩和稳定的运行环境。Kubernetes提供了完美的解决方案：

• 自动扩缩容：根据流量自动调整AG-UI服务实例数量
• 服务发现：内置服务发现机制，简化微服务通信
• 滚动更新：无缝部署新版本，零停机时间
• 健康检查：自动监控服务状态，确保高可用性

📦 准备工作与环境配置

1. 克隆AG-UI项目仓库

首先获取AG-UI项目源代码：

git clone https://gitcode.com/gh_mirrors/agu/ag-ui
cd ag-ui

2. 安装必要工具

确保您的环境已安装以下工具：

• Docker 20.10+
• kubectl 1.24+
• Helm 3.8+（可选）

🐳 构建AG-UI Docker镜像

创建Dockerfile

在项目根目录创建Dockerfile：

FROM node:18-alpine

WORKDIR /app

# 复制包管理文件
COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
COPY sdks/typescript/package.json sdks/typescript/
COPY apps/dojo/package.json apps/dojo/

# 安装依赖
RUN npm install -g pnpm
RUN pnpm install --frozen-lockfile

# 复制源代码
COPY . .

# 构建项目
RUN pnpm build

# 暴露端口
EXPOSE 3000

# 启动命令
CMD ["pnpm", "start"]

构建和推送镜像

# 构建镜像
docker build -t your-registry/ag-ui:latest .

# 推送镜像到仓库
docker push your-registry/ag-ui:latest

☸️ Kubernetes部署配置

创建命名空间

# namespace.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: ag-ui
  labels:
    name: ag-ui

部署配置映射

# configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: ag-ui-config
  namespace: ag-ui
data:
  NODE_ENV: "production"
  PORT: "3000"
  LOG_LEVEL: "info"

创建部署文件

# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: ag-ui-deployment
  namespace: ag-ui
  labels:
    app: ag-ui
spec:
  replicas: 3
  selector:
    matchLabels:
      app: ag-ui
  template:
    metadata:
      labels:
        app: ag-ui
    spec:
      containers:
      - name: ag-ui
        image: your-registry/ag-ui:latest
        ports:
        - containerPort: 3000
        envFrom:
        - configMapRef:
            name: ag-ui-config
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 3000
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /health
            port: 3000
          initialDelaySeconds: 5
          periodSeconds: 5

创建服务

# service.yaml
apiVersion: v1
kind: Service
metadata:
  name: ag-ui-service
  namespace: ag-ui
spec:
  selector:
    app: ag-ui
  ports:
    - protocol: TCP
      port: 80
      targetPort: 3000
  type: ClusterIP

创建Ingress（如果需要外部访问）

# ingress.yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: ag-ui-ingress
  namespace: ag-ui
  annotations:
    nginx.ingress.kubernetes.io/rewrite-target: /
spec:
  rules:
  - host: ag-ui.your-domain.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: ag-ui-service
            port:
              number: 80

🚀 部署到Kubernetes集群

应用所有配置

# 创建命名空间
kubectl apply -f namespace.yaml

# 应用配置
kubectl apply -f configmap.yaml
kubectl apply -f deployment.yaml
kubectl apply -f service.yaml
kubectl apply -f ingress.yaml

验证部署状态

# 检查Pod状态
kubectl get pods -n ag-ui

# 检查服务状态
kubectl get svc -n ag-ui

# 查看部署详情
kubectl describe deployment ag-ui-deployment -n ag-ui

📊 监控与日志管理

配置监控

# service-monitor.yaml（如果使用Prometheus）
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: ag-ui-monitor
  namespace: ag-ui
spec:
  selector:
    matchLabels:
      app: ag-ui
  endpoints:
  - port: http
    interval: 30s
    path: /metrics

查看日志

# 查看特定Pod的日志
kubectl logs -f <pod-name> -n ag-ui

# 查看所有Pod的日志
kubectl logs -f deployment/ag-ui-deployment -n ag-ui --all-containers

🔄 自动化部署流水线

GitHub Actions示例

name: Deploy AG-UI to Kubernetes

on:
  push:
    branches: [ main ]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Build Docker image
      run: docker build -t your-registry/ag-ui:${{ github.sha }} .
    
    - name: Push to Registry
      run: |
        docker push your-registry/ag-ui:${{ github.sha }}
    
    - name: Deploy to Kubernetes
      uses: azure/k8s-deploy@v1
      with:
        namespace: ag-ui
        manifests: |
          deployment.yaml
          service.yaml
        images: |
          your-registry/ag-ui:${{ github.sha }}

🛡️ 安全最佳实践

使用Secrets管理敏感信息

# secret.yaml
apiVersion: v1
kind: Secret
metadata:
  name: ag-ui-secrets
  namespace: ag-ui
type: Opaque
data:
  API_KEY: <base64-encoded-api-key>
  DATABASE_URL: <base64-encoded-db-url>

网络策略

# network-policy.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: ag-ui-network-policy
  namespace: ag-ui
spec:
  podSelector:
    matchLabels:
      app: ag-ui
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - namespaceSelector:
        matchLabels:
          name: ag-ui
  egress:
  - to:
    - namespaceSelector:
        matchLabels:
          name: monitoring

📈 性能优化建议

资源限制优化

根据实际负载调整资源请求和限制：

resources:
  requests:
    memory: "512Mi"  # 根据实际内存使用调整
    cpu: "500m"      # 根据实际CPU使用调整
  limits:
    memory: "1Gi"
    cpu: "1"

HPA自动扩缩容

# hpa.yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: ag-ui-hpa
  namespace: ag-ui
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: ag-ui-deployment
  minReplicas: 2
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70

🎯 总结

通过本文的指南，您已经学会了如何将AG-UI服务部署到Kubernetes集群。Kubernetes提供了强大的容器编排能力，能够确保AG-UI服务的高可用性、弹性伸缩和稳定运行。

关键优势：

• ✅ 自动化部署和扩缩容
• ✅ 高可用性和故障恢复
• ✅ 资源利用率优化
• ✅ 安全的网络策略
• ✅ 完整的监控体系

现在您的AG-UI服务已经准备好处理大规模的AI智能体交互请求了！🚀

【免费下载链接】ag-ui 项目地址: https://gitcode.com/gh_mirrors/agu/ag-ui