Files
brunoandClaude 2848a75aa2 feat: 配置完整 CI/CD 流程和 Kubernetes 部署
## 🚀 CI/CD 流程

### Gitea Actions Workflow
- 自动构建 Backend 和 Frontend Docker 镜像
- 推送镜像到 Harbor (192.168.1.83:8080)
- 自动部署到 Kubernetes learn namespace
- 支持滚动更新和健康检查

### Docker 镜像
- **Backend**: Python 3.11 + FastAPI
  - 多阶段构建优化
  - 健康检查探针
  - 生产环境优化
- **Frontend**: Node 18 + Vue 3 + Nginx
  - 多阶段构建
  - Gzip 压缩
  - 静态资源缓存优化

## ☸️ Kubernetes 部署

### 基础设施
- Namespace: learn
- PostgreSQL 15 (持久化存储)
- ConfigMap 和 Secret 管理
- Service 和 Ingress 配置

### 应用部署
- Backend: 2 副本,资源限制
- Frontend: 2 副本,Nginx 服务
- 健康检查:Liveness + Readiness Probes
- 滚动更新策略

### 访问配置
- Ingress: pager.learn.local
- Frontend: http://pager.learn.local
- API: http://pager.learn.local/api
- API Docs: http://pager.learn.local/api/docs

## 📊 Grafana 监控

### ServiceMonitor
- Prometheus 自动服务发现
- Backend、Frontend、PostgreSQL 指标采集
- 30s 采集间隔

### Dashboard 面板
- HTTP 请求速率和响应时间
- Pod CPU 和内存使用
- 数据库连接数
- 错误率 (4xx/5xx)
- Pod 重启次数
- 磁盘使用率

## 📦 新增文件

### Docker
- `backend/Dockerfile` - 后端镜像构建
- `frontend/Dockerfile` - 前端镜像构建
- `frontend/nginx.conf` - Nginx 配置
- `.dockerignore` - 构建优化

### CI/CD
- `.gitea/workflows/ci-cd.yaml` - Gitea Actions 配置

### Kubernetes
- `k8s/namespace.yaml` - Namespace 定义
- `k8s/configmap.yaml` - 应用配置
- `k8s/secret.yaml` - 敏感信息
- `k8s/postgres.yaml` - PostgreSQL 部署
- `k8s/deployment.yaml` - 应用部署
- `k8s/service.yaml` - Service 配置
- `k8s/ingress.yaml` - Ingress 路由

### 监控
- `k8s/monitoring/servicemonitor.yaml` - Prometheus 采集
- `k8s/monitoring/grafana-dashboard.json` - Dashboard 定义
- `k8s/monitoring/install-dashboard.sh` - 安装脚本

### 文档和脚本
- `CICD_DEPLOY.md` - 完整部署文档
- `deploy.sh` - 快速部署脚本

## 🔧 配置要求

### Gitea Secrets
- `HARBOR_PASSWORD`: Harbor 密码
- `KUBECONFIG`: K8s 配置 (base64 编码)

### Harbor
- 项目: pager
- 认证: admin/admin123

### Kubernetes
- 版本: 1.24+
- Namespace: learn
- Ingress Controller: nginx

## 📝 使用说明

### 自动部署
```bash
git push origin master
# 自动触发 CI/CD 流程
```

### 手动部署
```bash
./deploy.sh
```

### 查看状态
```bash
kubectl get pods -n learn
kubectl logs -f -l app=pager-backend -n learn
```

### 监控
1. 部署 ServiceMonitor: `kubectl apply -f k8s/monitoring/`
2. 安装 Grafana Dashboard: `cd k8s/monitoring && ./install-dashboard.sh`

## 🎯 特性

- ✅ 自动化 CI/CD 流程
- ✅ Docker 多阶段构建优化
- ✅ Kubernetes 高可用部署
- ✅ 滚动更新零停机
- ✅ 健康检查和自动恢复
- ✅ Prometheus + Grafana 监控
- ✅ 完整的故障排查文档

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
2025-11-22 22:56:31 +08:00

104 lines
2.3 KiB
YAML

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: postgres-pvc
namespace: learn
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
storageClassName: standard
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: pager-postgres
namespace: learn
labels:
app: pager-postgres
component: database
spec:
replicas: 1
selector:
matchLabels:
app: pager-postgres
template:
metadata:
labels:
app: pager-postgres
component: database
spec:
containers:
- name: postgres
image: postgres:15-alpine
ports:
- containerPort: 5432
name: postgres
env:
- name: POSTGRES_USER
valueFrom:
secretKeyRef:
name: pager-secrets
key: POSTGRES_USER
- name: POSTGRES_PASSWORD
valueFrom:
secretKeyRef:
name: pager-secrets
key: POSTGRES_PASSWORD
- name: POSTGRES_DB
valueFrom:
secretKeyRef:
name: pager-secrets
key: POSTGRES_DB
- name: PGDATA
value: /var/lib/postgresql/data/pgdata
volumeMounts:
- name: postgres-storage
mountPath: /var/lib/postgresql/data
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
livenessProbe:
exec:
command:
- pg_isready
- -U
- postgres
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
exec:
command:
- pg_isready
- -U
- postgres
initialDelaySeconds: 5
periodSeconds: 5
volumes:
- name: postgres-storage
persistentVolumeClaim:
claimName: postgres-pvc
---
apiVersion: v1
kind: Service
metadata:
name: pager-postgres
namespace: learn
labels:
app: pager-postgres
spec:
type: ClusterIP
ports:
- port: 5432
targetPort: 5432
protocol: TCP
name: postgres
selector:
app: pager-postgres