Deployment Patterns

部署模式

生产环境部署工作流和 CI/CD 最佳实践。

何时启用

• 设置 CI/CD 流水线时
• 将应用容器化（Docker）时
• 规划部署策略（蓝绿、金丝雀、滚动）时
• 实现健康检查和就绪探针时
• 准备生产发布时
• 配置环境特定设置时

部署策略

滚动部署（默认）

逐步替换实例——在发布过程中，新旧版本同时运行。

Instance 1: v1 → v2  (update first)
Instance 2: v1        (still running v1)
Instance 3: v1        (still running v1)

Instance 1: v2
Instance 2: v1 → v2  (update second)
Instance 3: v1

Instance 1: v2
Instance 2: v2
Instance 3: v1 → v2  (update last)

优点： 零停机时间，渐进式发布 缺点： 两个版本同时运行——需要向后兼容的更改 适用场景： 标准部署，向后兼容的更改

蓝绿部署

运行两个相同的环境。原子化地切换流量。

Blue  (v1) ← traffic
Green (v2)   idle, running new version

# After verification:
Blue  (v1)   idle (becomes standby)
Green (v2) ← traffic

优点： 即时回滚（切换回蓝色环境），切换干净利落 缺点： 部署期间需要双倍的基础设施 适用场景： 关键服务，对问题零容忍

金丝雀部署

首先将一小部分流量路由到新版本。

v1: 95% of traffic
v2:  5% of traffic  (canary)

# If metrics look good:
v1: 50% of traffic
v2: 50% of traffic

# Final:
v2: 100% of traffic

优点： 在全量发布前，通过真实流量发现问题 缺点： 需要流量分割基础设施和监控 适用场景： 高流量服务，风险性更改，功能标志

Docker

多阶段 Dockerfile (Node.js)

# Stage 1: Install dependencies
FROM node:22-alpine AS deps
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci --production=false

# Stage 2: Build
FROM node:22-alpine AS builder
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN npm run build
RUN npm prune --production

# Stage 3: Production image
FROM node:22-alpine AS runner
WORKDIR /app

RUN addgroup -g 1001 -S appgroup && adduser -S appuser -u 1001
USER appuser

COPY --from=builder --chown=appuser:appgroup /app/node_modules ./node_modules
COPY --from=builder --chown=appuser:appgroup /app/dist ./dist
COPY --from=builder --chown=appuser:appgroup /app/package.json ./

ENV NODE_ENV=production
EXPOSE 3000

HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD wget --no-verbose --tries=1 --spider http://localhost:3000/health || exit 1

CMD ["node", "dist/server.js"]

多阶段 Dockerfile (Go)

FROM golang:1.22-alpine AS builder
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 GOOS=linux go build -ldflags="-s -w" -o /server ./cmd/server

FROM alpine:3.19 AS runner
RUN apk --no-cache add ca-certificates
RUN adduser -D -u 1001 appuser
USER appuser

COPY --from=builder /server /server

EXPOSE 8080
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:8080/health || exit 1
CMD ["/server"]

多阶段 Dockerfile (Python/Django)

FROM python:3.12-slim AS builder
WORKDIR /app
RUN pip install --no-cache-dir uv
COPY requirements.txt .
RUN uv pip install --system --no-cache -r requirements.txt

FROM python:3.12-slim AS runner
WORKDIR /app

RUN useradd -r -u 1001 appuser
USER appuser

COPY --from=builder /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin
COPY . .

ENV PYTHONUNBUFFERED=1
EXPOSE 8000

HEALTHCHECK --interval=30s --timeout=3s CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health/')" || exit 1
CMD ["gunicorn", "config.wsgi:application", "--bind", "0.0.0.0:8000", "--workers", "4"]

Docker 最佳实践

# GOOD practices
- Use specific version tags (node:22-alpine, not node:latest)
- Multi-stage builds to minimize image size
- Run as non-root user
- Copy dependency files first (layer caching)
- Use .dockerignore to exclude node_modules, .git, tests
- Add HEALTHCHECK instruction
- Set resource limits in docker-compose or k8s

# BAD practices
- Running as root
- Using :latest tags
- Copying entire repo in one COPY layer
- Installing dev dependencies in production image
- Storing secrets in image (use env vars or secrets manager)

CI/CD 流水线

GitHub Actions (标准流水线)

name: CI/CD

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 22
          cache: npm
      - run: npm ci
      - run: npm run lint
      - run: npm run typecheck
      - run: npm test -- --coverage
      - uses: actions/upload-artifact@v4
        if: always()
        with:
          name: coverage
          path: coverage/

  build:
    needs: test
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    steps:
      - uses: actions/checkout@v4
      - uses: docker/setup-buildx-action@v3
      - uses: docker/login-action@v3
        with:
          registry: ghcr.io
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      - uses: docker/build-push-action@v5
        with:
          push: true
          tags: ghcr.io/${{ github.repository }}:${{ github.sha }}
          cache-from: type=gha
          cache-to: type=gha,mode=max

  deploy:
    needs: build
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    environment: production
    steps:
      - name: Deploy to production
        run: |
          # Platform-specific deployment command
          # Railway: railway up
          # Vercel: vercel --prod
          # K8s: kubectl set image deployment/app app=ghcr.io/${{ github.repository }}:${{ github.sha }}
          echo "Deploying ${{ github.sha }}"

流水线阶段

PR opened:
  lint → typecheck → unit tests → integration tests → preview deploy

Merged to main:
  lint → typecheck → unit tests → integration tests → build image → deploy staging → smoke tests → deploy production

健康检查

健康检查端点

// Simple health check
app.get("/health", (req, res) => {
  res.status(200).json({ status: "ok" });
});

// Detailed health check (for internal monitoring)
app.get("/health/detailed", async (req, res) => {
  const checks = {
    database: await checkDatabase(),
    redis: await checkRedis(),
    externalApi: await checkExternalApi(),
  };

  const allHealthy = Object.values(checks).every(c => c.status === "ok");

  res.status(allHealthy ? 200 : 503).json({
    status: allHealthy ? "ok" : "degraded",
    timestamp: new Date().toISOString(),
    version: process.env.APP_VERSION || "unknown",
    uptime: process.uptime(),
    checks,
  });
});

async function checkDatabase(): Promise<HealthCheck> {
  try {
    await db.query("SELECT 1");
    return { status: "ok", latency_ms: 2 };
  } catch (err) {
    return { status: "error", message: "Database unreachable" };
  }
}

Kubernetes 探针

livenessProbe:
  httpGet:
    path: /health
    port: 3000
  initialDelaySeconds: 10
  periodSeconds: 30
  failureThreshold: 3

readinessProbe:
  httpGet:
    path: /health
    port: 3000
  initialDelaySeconds: 5
  periodSeconds: 10
  failureThreshold: 2

startupProbe:
  httpGet:
    path: /health
    port: 3000
  initialDelaySeconds: 0
  periodSeconds: 5
  failureThreshold: 30    # 30 * 5s = 150s max startup time

环境配置

十二要素应用模式

# All config via environment variables — never in code
DATABASE_URL=postgres://user:pass@host:5432/db
REDIS_URL=redis://host:6379/0
API_KEY=${API_KEY}           # injected by secrets manager
LOG_LEVEL=info
PORT=3000

# Environment-specific behavior
NODE_ENV=production          # or staging, development
APP_ENV=production           # explicit app environment

配置验证

import { z } from "zod";

const envSchema = z.object({
  NODE_ENV: z.enum(["development", "staging", "production"]),
  PORT: z.coerce.number().default(3000),
  DATABASE_URL: z.string().url(),
  REDIS_URL: z.string().url(),
  JWT_SECRET: z.string().min(32),
  LOG_LEVEL: z.enum(["debug", "info", "warn", "error"]).default("info"),
});

// Validate at startup — fail fast if config is wrong
export const env = envSchema.parse(process.env);

回滚策略

即时回滚

# Docker/Kubernetes: point to previous image
kubectl rollout undo deployment/app

# Vercel: promote previous deployment
vercel rollback

# Railway: redeploy previous commit
railway up --commit <previous-sha>

# Database: rollback migration (if reversible)
npx prisma migrate resolve --rolled-back <migration-name>

回滚检查清单

• [ ] 之前的镜像/制品可用且已标记
• [ ] 数据库迁移向后兼容（无破坏性更改）
• [ ] 功能标志可以在不部署的情况下禁用新功能
• [ ] 监控警报已配置，用于错误率飙升
• [ ] 在生产发布前，回滚已在预演环境测试

生产就绪检查清单

在任何生产部署之前：

应用

• [ ] 所有测试通过（单元、集成、端到端）
• [ ] 代码或配置文件中没有硬编码的密钥
• [ ] 错误处理覆盖所有边缘情况
• [ ] 日志是结构化的（JSON）且不包含 PII
• [ ] 健康检查端点返回有意义的状态

基础设施

• [ ] Docker 镜像可重复构建（版本已固定）
• [ ] 环境变量已记录并在启动时验证
• [ ] 资源限制已设置（CPU、内存）
• [ ] 水平伸缩已配置（最小/最大实例数）
• [ ] 所有端点均已启用 SSL/TLS

监控

• [ ] 应用指标已导出（请求率、延迟、错误）
• [ ] 已配置错误率超过阈值的警报
• [ ] 日志聚合已设置（结构化日志，可搜索）
• [ ] 健康端点有正常运行时间监控

安全

• [ ] 依赖项已扫描 CVE
• [ ] CORS 仅配置允许的来源
• [ ] 公共端点已启用速率限制
• [ ] 身份验证和授权已验证
• [ ] 安全头已设置（CSP、HSTS、X-Frame-Options）

运维

• [ ] 回滚计划已记录并测试
• [ ] 数据库迁移已针对生产规模的数据进行测试
• [ ] 常见故障场景的应急预案
• [ ] 待命轮换和升级路径已定义