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container-orchestration

container-orchestration

github.com/0xdarkmatter云与 DevOps78111 次安装2 周前更新
代码仓库

关于 container-orchestration

为容器化应用提供 Docker 和 Kubernetes 模式的技能，涵盖配置建议、命令参考、模板及配套资源，适用于部署和运维工作。

主要功能

  1. 01Dockerfile 最佳实践
  2. 02Docker Compose 配置示例
  3. 03Kubernetes Deployment、Service 和 Ingress 示例
  4. 04kubectl 命令参考
  5. 05模板与镜像构建推送脚本

适用场景

  1. 01编写面向生产环境的 Dockerfile
  2. 02使用 Docker Compose 配置服务
  3. 03创建 Kubernetes 清单
  4. 04检查或重启 Kubernetes 工作负载

安装

复制下面的命令，在终端中运行。

$npx skills add https://github.com/0xdarkmatter/claude-mods --skill container-orchestration

安装后在 Claude Code 中输入/container-orchestration确认已加载。

包含的文件

除 SKILL.md 外，安装时一起下载的参考资料和脚本。

assets/
docker-compose.template.yml
Dockerfile.template
references/
dockerfile-patterns.md
ecs-fargate.md
helm-patterns.md
k8s-manifests.md
scripts/
build-push.sh
tests/
run.sh

详细介绍

容器编排

信息已核实，截至 2026-07。

Docker 和 Kubernetes 容器化应用模式。

Dockerfile 最佳实践

# Use specific version, not :latest
FROM python:3.11-slim AS builder

# Set working directory
WORKDIR /app

# Copy dependency files first (better caching)
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY src/ ./src/

# Production stage (multi-stage build)
FROM python:3.11-slim

WORKDIR /app

# Create non-root user
RUN useradd --create-home appuser
USER appuser

# Copy from builder
COPY --from=builder /app /app

# Set environment
ENV PYTHONUNBUFFERED=1

# Health check
HEALTHCHECK --interval=30s --timeout=3s \
  CMD curl -f http://localhost:8000/health || exit 1

EXPOSE 8000
CMD ["python", "-m", "uvicorn", "src.main:app", "--host", "0.0.0.0"]
Dockerfile 规则
DO:
- Use specific base image versions
- Use multi-stage builds
- Run as non-root user
- Order commands by change frequency
- Use .dockerignore
- Add health checks

DON'T:
- Use :latest tag
- Run as root
- Copy unnecessary files
- Store secrets in image
- Install dev dependencies in production

Docker Compose

# docker-compose.yml
version: "3.9"

services:
  app:
    build:
      context: .
      dockerfile: Dockerfile
    ports:
      - "8000:8000"
    environment:
      - DATABASE_URL=postgres://user:pass@db:5432/app
    depends_on:
      db:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3

  db:
    image: postgres:15-alpine
    volumes:
      - postgres_data:/var/lib/postgresql/data
    environment:
      POSTGRES_USER: user
      POSTGRES_PASSWORD: pass
      POSTGRES_DB: app
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U user -d app"]
      interval: 10s
      timeout: 5s
      retries: 5

volumes:
  postgres_data:

Kubernetes 基础知识

Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: app
  labels:
    app: myapp
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
    spec:
      containers:
      - name: app
        image: myapp:1.0.0
        ports:
        - containerPort: 8000
        resources:
          requests:
            memory: "128Mi"
            cpu: "100m"
          limits:
            memory: "256Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 10
          periodSeconds: 30
        readinessProbe:
          httpGet:
            path: /ready
            port: 8000
          initialDelaySeconds: 5
          periodSeconds: 10
        env:
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: app-secrets
              key: database-url
Service
apiVersion: v1
kind: Service
metadata:
  name: app-service
spec:
  selector:
    app: myapp
  ports:
  - port: 80
    targetPort: 8000
  type: ClusterIP
Ingress
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: app-ingress
  annotations:
    nginx.ingress.kubernetes.io/rewrite-target: /
spec:
  ingressClassName: nginx
  rules:
  - host: app.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: app-service
            port:
              number: 80

kubectl 快速参考

命令描述
kubectl get pods列出 Pod
kubectl logs <pod>查看日志
kubectl exec -it <pod> -- sh进入 Pod 的 Shell
kubectl apply -f manifest.yaml应用配置
kubectl rollout restart deployment/app重启 Deployment
kubectl rollout status deployment/app检查发布状态
kubectl describe pod <pod>调试 Pod
kubectl port-forward svc/app 8080:80本地端口转发

更多资源

  • ./references/dockerfile-patterns.md - 高级 Dockerfile 技术
  • ./references/k8s-manifests.md - 完整的 Kubernetes 清单示例
  • ./references/helm-patterns.md - Helm chart 结构和取值
  • ./references/ecs-fargate.md - AWS Fargate 上的 Amazon ECS（任务定义、服务、awsvpc 网络、IAM 角色、密钥、扩缩容、ALB/NLB、ECS 与 Kubernetes 对比）

脚本

  • ./scripts/build-push.sh - 构建并推送 Docker 镜像

资源文件

  • ./assets/Dockerfile.template - 生产环境 Dockerfile 模板
  • ./assets/docker-compose.template.yml - Compose 入门模板

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