This skill provides comprehensive guidance for working with Docker, covering containerization concepts, practical workflows, and best practices across all major technology stacks.
本技能提供了关于Docker使用的全面指导,涵盖容器化概念、实用工作流以及适用于所有主要技术栈的最佳实践。
When to Use This Skill
适用场景
Use this skill when:
- Containerizing applications for any language or framework
- Creating or optimizing Dockerfiles and Docker Compose configurations
- Setting up development environments with Docker
- Deploying containerized applications to production
- Implementing CI/CD pipelines with Docker
- Managing container networking, storage, and security
- Troubleshooting Docker-related issues
- Building multi-platform images
- Implementing microservices architectures
在以下场景中使用本技能:
- 为任意语言或框架的应用实现容器化
- 创建或优化Dockerfile与Docker Compose配置
- 使用Docker搭建开发环境
- 将容器化应用部署到生产环境
- 基于Docker实现CI/CD流水线
- 管理容器网络、存储与安全
- 排查Docker相关问题
- 构建多平台镜像
- 实现微服务架构
Core Docker Concepts
Docker核心概念
- Lightweight, isolated processes that bundle applications with all dependencies
- Provide filesystem isolation via union filesystems and namespace technology
- Ephemeral by default - changes are lost when container stops (unless persisted to volumes)
- Single responsibility principle: each container should do one thing well
- Multiple identical containers can run from same immutable image without conflicts
- 轻量、隔离的进程,打包了应用及其所有依赖
- 通过联合文件系统与命名空间技术实现文件系统隔离
- 默认具有临时性:容器停止后,未持久化到卷的更改会丢失
- 单一职责原则:每个容器应专注完成一件事
- 多个相同容器可基于同一个不可变镜像运行,且互不冲突
- Blueprint/template for containers - read-only filesystems + configuration
- Composed of layered filesystem (immutable, reusable layers)
- Built from Dockerfile instructions or committed from running containers
- Stored in registries (Docker Hub, ECR, ACR, GCR, private registries)
- Image naming:
REGISTRY/NAMESPACE/REPOSITORY:TAG
(e.g., docker.io/library/nginx:latest
)
- 容器的蓝图/模板:包含只读文件系统与配置
- 由分层文件系统构成(不可变、可复用的层)
- 可通过Dockerfile指令构建,或从运行中的容器提交生成
- 存储在镜像仓库中(Docker Hub、ECR、ACR、GCR、私有仓库)
- 镜像命名规则:
REGISTRY/NAMESPACE/REPOSITORY:TAG
(例如:docker.io/library/nginx:latest
)
- Volumes: Docker-managed persistent storage that survives container deletion
- Bind mounts: Direct mapping of host filesystem paths into containers
- tmpfs mounts: In-memory storage for temporary data
- Enable data sharing between containers and persist beyond container lifecycle
- 卷(Volumes):由Docker管理的持久化存储,容器删除后仍可保留
- 绑定挂载(Bind mounts):将主机文件系统路径直接映射到容器内
- tmpfs挂载:基于内存的临时存储
- 支持容器间数据共享,且数据可在容器生命周期外持久化
- Default bridge network connects containers on same host
- Custom networks allow explicit container communication with DNS resolution
- Host network removes network isolation for performance
- Overlay networks enable multi-host container communication (Swarm)
- MACVLAN/IPvlan for containers needing direct L2/L3 network access
- 默认桥接网络:连接同一主机上的容器
- 自定义网络:支持容器间显式通信并提供DNS解析
- 主机网络:移除网络隔离以提升性能
- 覆盖网络:支持多主机间的容器通信(Swarm模式)
- MACVLAN/IPvlan:为容器提供直接的L2/L3网络访问
Dockerfile Best Practices
Dockerfile最佳实践
Essential Instructions
核心指令
dockerfile
FROM <image>:<tag> # Base image (use specific versions, not 'latest')
WORKDIR /app # Working directory for subsequent commands
COPY package*.json ./ # Copy dependency files first (for caching)
RUN npm install --production # Execute build commands
COPY . . # Copy application code
ENV NODE_ENV=production # Environment variables
EXPOSE 3000 # Document exposed ports
USER node # Run as non-root user (security)
CMD ["node", "server.js"] # Default command when container starts
dockerfile
FROM <image>:<tag> # 基础镜像(使用特定版本,而非'latest')
WORKDIR /app # 后续命令的工作目录
COPY package*.json ./ # 先复制依赖文件(用于缓存)
RUN npm install --production # 执行构建命令
COPY . . # 复制应用代码
ENV NODE_ENV=production # 环境变量
EXPOSE 3000 # 声明暴露的端口
USER node # 以非root用户运行(安全考量)
CMD ["node", "server.js"] # 容器启动时的默认命令
Multi-Stage Builds (Critical for Production)
多阶段构建(生产环境必备)
Separate build environment from runtime environment to reduce image size and improve security:
将构建环境与运行环境分离,以减小镜像体积并提升安全性:
FROM node:20-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build
FROM node:20-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build
Stage 2: Production
阶段2:生产环境
FROM node:20-alpine AS production
WORKDIR /app
COPY --from=build /app/dist ./dist
COPY --from=build /app/node_modules ./node_modules
USER node
EXPOSE 3000
CMD ["node", "dist/server.js"]
**Benefits**: Compiled assets without build tools in final image, smaller size, improved security
FROM node:20-alpine AS production
WORKDIR /app
COPY --from=build /app/dist ./dist
COPY --from=build /app/node_modules ./node_modules
USER node
EXPOSE 3000
CMD ["node", "dist/server.js"]
**优势**:最终镜像仅包含编译后的资产,无构建工具,体积更小、安全性更高
Layer Caching Optimization
分层缓存优化
Order matters! Docker reuses layers if instruction unchanged:
- Dependencies first (COPY package.json, RUN npm install)
- Application code last (COPY . .)
- This way, code changes don't invalidate dependency layers
指令顺序很重要! Docker会复用未更改的指令对应的层:
- 先处理依赖(COPY package.json、RUN npm install)
- 最后复制应用代码(COPY . .)
- 这样代码变更不会导致依赖层失效
Use specific versions
使用特定版本
FROM node:20.11.0-alpine3.19
FROM node:20.11.0-alpine3.19
Create non-root user
创建非root用户
RUN addgroup -g 1001 -S nodejs &&
adduser -S nodejs -u 1001
RUN addgroup -g 1001 -S nodejs &&
adduser -S nodejs -u 1001
COPY --chown=nodejs:nodejs . .
COPY --chown=nodejs:nodejs . .
Switch to non-root
切换到非root用户
Read-only root filesystem (when possible)
只读根文件系统(若可行)
Add --read-only flag when running container
运行容器时添加--read-only参数
.dockerignore File
.dockerignore文件
Exclude unnecessary files from build context:
node_modules
.git
.env
.env.local
*.log
.DS_Store
README.md
docker-compose.yml
.dockerignore
Dockerfile
dist
coverage
.vscode
排除构建上下文中的不必要文件:
node_modules
.git
.env
.env.local
*.log
.DS_Store
README.md
docker-compose.yml
.dockerignore
Dockerfile
dist
coverage
.vscode
docker build -t myapp:1.0 .
docker build -t myapp:1.0 .
Build targeting specific stage
针对特定阶段构建
docker build -t myapp:dev --target build .
docker build -t myapp:dev --target build .
Build with build arguments
带构建参数构建
docker build --build-arg NODE_ENV=production -t myapp:1.0 .
docker build --build-arg NODE_ENV=production -t myapp:1.0 .
Build for multiple platforms
为多平台构建
docker buildx build --platform linux/amd64,linux/arm64 -t myapp:1.0 .
docker buildx build --platform linux/amd64,linux/arm64 -t myapp:1.0 .
View image layers and size
查看镜像层与大小
docker image history myapp:1.0
docker image history myapp:1.0
Run in background (detached)
后台运行(分离模式)
docker run -d --name myapp myapp:1.0
docker run -d --name myapp myapp:1.0
Port mapping (host:container)
端口映射(主机:容器)
docker run -p 8080:3000 myapp:1.0
docker run -p 8080:3000 myapp:1.0
Environment variables
设置环境变量
docker run -e NODE_ENV=production -e API_KEY=secret myapp:1.0
docker run -e NODE_ENV=production -e API_KEY=secret myapp:1.0
Volume mount (named volume)
卷挂载(命名卷)
docker run -v mydata:/app/data myapp:1.0
docker run -v mydata:/app/data myapp:1.0
Bind mount (development)
绑定挂载(开发环境)
docker run -v $(pwd)/src:/app/src myapp:1.0
docker run -v $(pwd)/src:/app/src myapp:1.0
docker run --network my-network myapp:1.0
docker run --network my-network myapp:1.0
docker run --memory 512m --cpus 0.5 myapp:1.0
docker run --memory 512m --cpus 0.5 myapp:1.0
Interactive terminal
交互式终端
docker run -it myapp:1.0 /bin/sh
docker run -it myapp:1.0 /bin/sh
Override entrypoint/command
覆盖入口点/命令
docker run --entrypoint /bin/sh myapp:1.0
docker run myapp:1.0 custom-command --arg
docker run --entrypoint /bin/sh myapp:1.0
docker run myapp:1.0 custom-command --arg
List running containers
列出运行中的容器
List all containers (including stopped)
列出所有容器(包括已停止的)
docker logs myapp
docker logs -f myapp # Follow logs
docker logs --tail 100 myapp # Last 100 lines
docker logs myapp
docker logs -f myapp # 实时跟踪日志
docker logs --tail 100 myapp # 查看最后100行日志
Execute command in running container
在运行中的容器内执行命令
docker exec myapp ls /app
docker exec -it myapp /bin/sh # Interactive shell
docker exec myapp ls /app
docker exec -it myapp /bin/sh # 交互式shell
Stop container (graceful)
停止容器(优雅停止)
Kill container (immediate)
强制终止容器(立即停止)
docker rm myapp
docker rm -f myapp # Force remove running container
docker rm myapp
docker rm -f myapp # 强制删除运行中的容器
View container details
查看容器详情
Monitor resource usage
监控资源使用情况
View container processes
查看容器进程
Copy files to/from container
在容器与主机间复制文件
docker cp myapp:/app/logs ./logs
docker cp ./config.json myapp:/app/config.json
docker cp myapp:/app/logs ./logs
docker cp ./config.json myapp:/app/config.json
docker tag myapp:1.0 registry.example.com/myapp:1.0
docker tag myapp:1.0 registry.example.com/myapp:1.0
docker login registry.example.com
docker push registry.example.com/myapp:1.0
docker login registry.example.com
docker push registry.example.com/myapp:1.0
Pull from registry
从仓库拉取镜像
docker image rm myapp:1.0
docker image rm myapp:1.0
Remove unused images
删除未使用的镜像
Remove all unused resources (images, containers, volumes, networks)
删除所有未使用的资源(镜像、容器、卷、网络)
docker volume create mydata
docker volume create mydata
docker volume inspect mydata
docker volume inspect mydata
Remove unused volumes
删除未使用的卷
docker network create my-network
docker network create --driver bridge my-bridge
docker network create my-network
docker network create --driver bridge my-bridge
docker network inspect my-network
docker network inspect my-network
Connect container to network
将容器连接到网络
docker network connect my-network myapp
docker network connect my-network myapp
Disconnect container from network
将容器从网络断开
docker network disconnect my-network myapp
docker network disconnect my-network myapp
docker network rm my-network
docker network rm my-network
Docker Compose
Docker Compose
- Multi-container applications (web + database + cache)
- Consistent development environments across team
- Simplifying complex docker run commands
- Managing application dependencies and startup order
- 多容器应用(Web应用 + 数据库 + 缓存)
- 团队内一致的开发环境
- 简化复杂的docker run命令
- 管理应用依赖与启动顺序
Basic Compose File Structure
基础Compose文件结构
yaml
version: '3.8'
services:
web:
build: .
ports:
- "3000:3000"
environment:
- NODE_ENV=production
- DATABASE_URL=postgresql://user:pass@db:5432/app
depends_on:
- db
- redis
volumes:
- ./src:/app/src # Development: live code reload
networks:
- app-network
restart: unless-stopped
db:
image: postgres:15-alpine
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: pass
POSTGRES_DB: app
volumes:
- postgres_data:/var/lib/postgresql/data
networks:
- app-network
healthcheck:
test: ["CMD-SHELL", "pg_isready -U user"]
interval: 10s
timeout: 5s
retries: 5
redis:
image: redis:7-alpine
networks:
- app-network
volumes:
- redis_data:/data
volumes:
postgres_data:
redis_data:
networks:
app-network:
driver: bridge
yaml
version: '3.8'
services:
web:
build: .
ports:
- "3000:3000"
environment:
- NODE_ENV=production
- DATABASE_URL=postgresql://user:pass@db:5432/app
depends_on:
- db
- redis
volumes:
- ./src:/app/src # 开发环境:代码热重载
networks:
- app-network
restart: unless-stopped
db:
image: postgres:15-alpine
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: pass
POSTGRES_DB: app
volumes:
- postgres_data:/var/lib/postgresql/data
networks:
- app-network
healthcheck:
test: ["CMD-SHELL", "pg_isready -U user"]
interval: 10s
timeout: 5s
retries: 5
redis:
image: redis:7-alpine
networks:
- app-network
volumes:
- redis_data:/data
volumes:
postgres_data:
redis_data:
networks:
app-network:
driver: bridge
Compose Commands
Compose命令
Build images before starting
启动前先构建镜像
docker compose up --build
docker compose up --build
Scale specific service
扩容指定服务
docker compose up -d --scale web=3
docker compose up -d --scale web=3
Stop and remove volumes
停止并删除卷
docker compose down --volumes
docker compose down --volumes
docker compose logs
docker compose logs -f web # Follow specific service
docker compose logs
docker compose logs -f web # 实时跟踪指定服务的日志
Execute command in service
在服务容器内执行命令
docker compose exec web sh
docker compose exec db psql -U user -d app
docker compose exec web sh
docker compose exec db psql -U user -d app
List running services
列出运行中的服务
docker compose restart web
docker compose restart web
Validate compose file
验证Compose文件
Development vs Production Compose
开发与生产环境Compose配置
compose.yml (base configuration):
yaml
services:
web:
build: .
ports:
- "3000:3000"
environment:
- DATABASE_URL=postgresql://user:pass@db:5432/app
compose.override.yml (development overrides, loaded automatically):
yaml
services:
web:
volumes:
- ./src:/app/src # Live code reload
environment:
- NODE_ENV=development
- DEBUG=true
command: npm run dev
compose.prod.yml (production overrides):
yaml
services:
web:
image: registry.example.com/myapp:1.0
restart: always
environment:
- NODE_ENV=production
deploy:
replicas: 3
resources:
limits:
cpus: '0.5'
memory: 512M
Usage:
compose.yml(基础配置):
yaml
services:
web:
build: .
ports:
- "3000:3000"
environment:
- DATABASE_URL=postgresql://user:pass@db:5432/app
compose.override.yml(开发环境覆盖配置,自动加载):
yaml
services:
web:
volumes:
- ./src:/app/src # 代码热重载
environment:
- NODE_ENV=development
- DEBUG=true
command: npm run dev
compose.prod.yml(生产环境覆盖配置):
yaml
services:
web:
image: registry.example.com/myapp:1.0
restart: always
environment:
- NODE_ENV=production
deploy:
replicas: 3
resources:
limits:
cpus: '0.5'
memory: 512M
使用方式:
Development (uses compose.yml + compose.override.yml automatically)
开发环境(自动使用compose.yml + compose.override.yml)
Production (explicit override)
生产环境(显式指定覆盖配置)
docker compose -f compose.yml -f compose.prod.yml up -d
docker compose -f compose.yml -f compose.prod.yml up -d
Language-Specific Dockerfiles
各语言专属Dockerfile示例
dockerfile
FROM node:20-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build
FROM node:20-alpine AS production
WORKDIR /app
COPY --from=build /app/dist ./dist
COPY --from=build /app/node_modules ./node_modules
COPY package*.json ./
USER node
EXPOSE 3000
CMD ["node", "dist/server.js"]
dockerfile
FROM node:20-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build
FROM node:20-alpine AS production
WORKDIR /app
COPY --from=build /app/dist ./dist
COPY --from=build /app/node_modules ./node_modules
COPY package*.json ./
USER node
EXPOSE 3000
CMD ["node", "dist/server.js"]
dockerfile
FROM python:3.11-slim AS build
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
FROM python:3.11-slim AS production
WORKDIR /app
COPY --from=build /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
COPY . .
RUN adduser --disabled-password --gecos '' appuser && \
chown -R appuser:appuser /app
USER appuser
EXPOSE 8000
CMD ["python", "app.py"]
dockerfile
FROM python:3.11-slim AS build
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
FROM python:3.11-slim AS production
WORKDIR /app
COPY --from=build /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
COPY . .
RUN adduser --disabled-password --gecos '' appuser && \
chown -R appuser:appuser /app
USER appuser
EXPOSE 8000
CMD ["python", "app.py"]
dockerfile
FROM golang:1.21-alpine AS build
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 GOOS=linux go build -o main .
FROM scratch
COPY --from=build /app/main /main
EXPOSE 8080
CMD ["/main"]
dockerfile
FROM golang:1.21-alpine AS build
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 GOOS=linux go build -o main .
FROM scratch
COPY --from=build /app/main /main
EXPOSE 8080
CMD ["/main"]
Java (Spring Boot)
Java(Spring Boot)
dockerfile
FROM eclipse-temurin:21-jdk-alpine AS build
WORKDIR /app
COPY pom.xml .
COPY src ./src
RUN ./mvnw clean package -DskipTests
FROM eclipse-temurin:21-jre-alpine AS production
WORKDIR /app
COPY --from=build /app/target/*.jar app.jar
RUN addgroup -g 1001 -S spring && \
adduser -S spring -u 1001
USER spring
EXPOSE 8080
ENTRYPOINT ["java", "-jar", "app.jar"]
dockerfile
FROM eclipse-temurin:21-jdk-alpine AS build
WORKDIR /app
COPY pom.xml .
COPY src ./src
RUN ./mvnw clean package -DskipTests
FROM eclipse-temurin:21-jre-alpine AS production
WORKDIR /app
COPY --from=build /app/target/*.jar app.jar
RUN addgroup -g 1001 -S spring && \
adduser -S spring -u 1001
USER spring
EXPOSE 8080
ENTRYPOINT ["java", "-jar", "app.jar"]
React/Vue/Angular (Static SPA)
React/Vue/Angular(静态SPA)
dockerfile
FROM node:20-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
FROM nginx:alpine AS production
COPY --from=build /app/dist /usr/share/nginx/html
COPY nginx.conf /etc/nginx/nginx.conf
EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]
dockerfile
FROM node:20-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
FROM nginx:alpine AS production
COPY --from=build /app/dist /usr/share/nginx/html
COPY nginx.conf /etc/nginx/nginx.conf
EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]
Production Deployment
生产环境部署
In Dockerfile:
dockerfile
HEALTHCHECK --interval=30s --timeout=3s --start-period=40s --retries=3 \
CMD curl -f http://localhost:3000/health || exit 1
In Compose:
yaml
services:
web:
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 3s
start-period: 40s
retries: 3
在Dockerfile中配置:
dockerfile
HEALTHCHECK --interval=30s --timeout=3s --start-period=40s --retries=3 \
CMD curl -f http://localhost:3000/health || exit 1
在Compose中配置:
yaml
services:
web:
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 3s
start-period: 40s
retries: 3
yaml
services:
web:
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.25'
memory: 256M
yaml
services:
web:
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.25'
memory: 256M
yaml
services:
web:
restart: unless-stopped # Restart unless manually stopped
# Other options: "no", "always", "on-failure"
yaml
services:
web:
restart: unless-stopped # 除非手动停止,否则自动重启
# 其他选项:"no", "always", "on-failure"
Logging Configuration
日志配置
yaml
services:
web:
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
yaml
services:
web:
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
Environment Variables & Secrets
环境变量与密钥管理
DATABASE_URL=postgresql://user:pass@db:5432/app
API_KEY=secret
```yaml
services:
web:
env_file:
- .env
Using Docker secrets (Swarm):
yaml
services:
web:
secrets:
- db_password
secrets:
db_password:
external: true
DATABASE_URL=postgresql://user:pass@db:5432/app
API_KEY=secret
```yaml
services:
web:
env_file:
- .env
使用Docker密钥(Swarm模式):
yaml
services:
web:
secrets:
- db_password
secrets:
db_password:
external: true
Production Checklist
生产环境检查清单
- ✅ Use specific image versions (not )
- ✅ Run as non-root user
- ✅ Multi-stage builds to minimize image size
- ✅ Health checks implemented
- ✅ Resource limits configured
- ✅ Restart policy set
- ✅ Logging configured
- ✅ Secrets managed securely (not in environment variables)
- ✅ Vulnerability scanning (Docker Scout)
- ✅ Read-only root filesystem when possible
- ✅ Network segmentation
- ✅ Regular image updates
- ✅ 使用特定镜像版本(而非)
- ✅ 以非root用户运行容器
- ✅ 使用多阶段构建以最小化镜像体积
- ✅ 配置健康检查
- ✅ 设置资源限制
- ✅ 配置重启策略
- ✅ 配置日志
- ✅ 安全管理密钥(不存储在环境变量中)
- ✅ 漏洞扫描(Docker Scout)
- ✅ 尽可能使用只读根文件系统
- ✅ 网络分段
- ✅ 定期更新镜像
GitHub Actions Example
GitHub Actions示例
yaml
name: Docker Build and Push
on:
push:
branches: [ main ]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Build and push
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: user/app:latest,user/app:${{ github.sha }}
cache-from: type=registry,ref=user/app:buildcache
cache-to: type=registry,ref=user/app:buildcache,mode=max
- name: Run vulnerability scan
uses: docker/scout-action@v1
with:
command: cves
image: user/app:${{ github.sha }}
yaml
name: Docker Build and Push
on:
push:
branches: [ main ]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Build and push
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: user/app:latest,user/app:${{ github.sha }}
cache-from: type=registry,ref=user/app:buildcache
cache-to: type=registry,ref=user/app:buildcache,mode=max
- name: Run vulnerability scan
uses: docker/scout-action@v1
with:
command: cves
image: user/app:${{ github.sha }}
Security Best Practices
安全最佳实践
Scan for Vulnerabilities
漏洞扫描
Using Docker Scout
使用Docker Scout
docker scout cves myapp:1.0
docker scout recommendations myapp:1.0
docker scout cves myapp:1.0
docker scout recommendations myapp:1.0
docker scout quickview myapp:1.0
docker scout quickview myapp:1.0
Run Containers Securely
安全运行容器
Read-only root filesystem
只读根文件系统
docker run --read-only -v /tmp --tmpfs /run myapp:1.0
docker run --read-only -v /tmp --tmpfs /run myapp:1.0
Drop all capabilities, add only needed ones
移除所有权限,仅添加必要权限
docker run --cap-drop=ALL --cap-add=NET_BIND_SERVICE myapp:1.0
docker run --cap-drop=ALL --cap-add=NET_BIND_SERVICE myapp:1.0
docker run --security-opt=no-new-privileges myapp:1.0
docker run --security-opt=no-new-privileges myapp:1.0
Use security profiles
使用安全配置文件
docker run --security-opt apparmor=docker-default myapp:1.0
docker run --security-opt apparmor=docker-default myapp:1.0
docker run --memory=512m --cpus=0.5 --pids-limit=100 myapp:1.0
docker run --memory=512m --cpus=0.5 --pids-limit=100 myapp:1.0
Image Security Checklist
镜像安全检查清单
- ✅ Start with minimal base images (Alpine, Distroless)
- ✅ Use specific versions, not
- ✅ Scan for vulnerabilities regularly
- ✅ Run as non-root user
- ✅ Don't include secrets in images (use runtime secrets)
- ✅ Minimize attack surface (only install needed packages)
- ✅ Use multi-stage builds (no build tools in final image)
- ✅ Sign and verify images
- ✅ Keep images updated
- ✅ 使用轻量基础镜像(Alpine、Distroless)
- ✅ 使用特定版本,而非
- ✅ 定期扫描漏洞
- ✅ 以非root用户运行
- ✅ 不在镜像中存储密钥(使用运行时密钥)
- ✅ 最小化攻击面(仅安装必要包)
- ✅ 使用多阶段构建(最终镜像不含构建工具)
- ✅ 签名并验证镜像
- ✅ 保持镜像更新
Bridge Network (Default)
桥接网络(默认)
Create custom bridge network
创建自定义桥接网络
docker network create my-bridge
docker network create my-bridge
Run containers on custom bridge
在自定义桥接网络上运行容器
docker run -d --name web --network my-bridge nginx
docker run -d --name db --network my-bridge postgres
docker run -d --name web --network my-bridge nginx
docker run -d --name db --network my-bridge postgres
Containers can communicate via container name
容器可通过容器名称通信
Container Communication
容器间通信
yaml
services:
web:
depends_on:
- db
environment:
# Use service name as hostname
- DATABASE_URL=postgresql://user:pass@db:5432/app
db:
image: postgres:15-alpine
yaml
services:
web:
depends_on:
- db
environment:
# 使用服务名称作为主机名
- DATABASE_URL=postgresql://user:pass@db:5432/app
db:
image: postgres:15-alpine
Publish single port
发布单个端口
docker run -p 8080:80 nginx
docker run -p 8080:80 nginx
Publish range of ports
发布端口范围
docker run -p 8080-8090:8080-8090 myapp
docker run -p 8080-8090:8080-8090 myapp
Publish to specific interface
发布到指定网卡
docker run -p 127.0.0.1:8080:80 nginx
docker run -p 127.0.0.1:8080:80 nginx
Publish all exposed ports to random ports
将所有暴露的端口发布到随机端口
Named Volumes (Recommended for Data)
命名卷(推荐用于数据持久化)
Create and use named volume
创建并使用命名卷
docker volume create app-data
docker run -v app-data:/app/data myapp
docker volume create app-data
docker run -v app-data:/app/data myapp
Automatic creation
自动创建(若不存在)
docker run -v app-data:/app/data myapp # Creates if doesn't exist
docker run -v app-data:/app/data myapp # 若卷不存在则自动创建
Bind Mounts (Development)
绑定挂载(开发环境)
Live code reload during development
开发环境代码热重载
docker run -v $(pwd)/src:/app/src myapp
docker run -v $(pwd)/src:/app/src myapp
Read-only bind mount
只读绑定挂载
docker run -v $(pwd)/config:/app/config:ro myapp
docker run -v $(pwd)/config:/app/config:ro myapp
tmpfs Mounts (Temporary In-Memory)
tmpfs挂载(内存临时存储)
Store temporary data in memory
将临时数据存储在内存中
docker run --tmpfs /tmp myapp
docker run --tmpfs /tmp myapp
Volume Backup & Restore
卷备份与恢复
docker run --rm -v app-data:/data -v $(pwd):/backup alpine
tar czf /backup/backup.tar.gz /data
docker run --rm -v app-data:/data -v $(pwd):/backup alpine
tar czf /backup/backup.tar.gz /data
docker run --rm -v app-data:/data -v $(pwd):/backup alpine
tar xzf /backup/backup.tar.gz -C /data
docker run --rm -v app-data:/data -v $(pwd):/backup alpine
tar xzf /backup/backup.tar.gz -C /data
Debug Running Container
排查运行中的容器
docker logs -f myapp
docker logs --tail 100 myapp
docker logs -f myapp
docker logs --tail 100 myapp
Interactive shell
进入交互式shell
docker exec -it myapp /bin/sh
docker exec -it myapp /bin/sh
Monitor resource usage
监控资源使用
View changes to filesystem
查看文件系统变更
Build with verbose output
带详细输出构建
docker build --progress=plain -t myapp .
docker build --progress=plain -t myapp .
Build specific stage for testing
构建特定阶段用于测试
docker build --target build -t myapp:build .
docker build --target build -t myapp:build .
Run failed build stage
运行构建失败的阶段容器
docker run -it myapp:build /bin/sh
docker run -it myapp:build /bin/sh
Check build context
禁用缓存构建
docker build --no-cache -t myapp .
docker build --no-cache -t myapp .
Container exits immediately:
Run with interactive shell
以交互式shell运行
docker run -it myapp /bin/sh
docker run -it myapp /bin/sh
docker run -it --entrypoint /bin/sh myapp
**Cannot connect to container**:
```bash
docker run -it --entrypoint /bin/sh myapp
docker ps
docker port myapp
docker ps
docker port myapp
docker network inspect bridge
docker inspect myapp | grep IPAddress
docker network inspect bridge
docker inspect myapp | grep IPAddress
Check if service is listening
检查服务是否在监听
docker exec myapp netstat -tulpn
**Out of disk space**:
```bash
docker exec myapp netstat -tulpn
docker system prune -a
docker volume prune
docker image prune -a
**Build cache issues**:
```bash
docker system prune -a
docker volume prune
docker image prune -a
Force rebuild without cache
强制不使用缓存构建
docker build --no-cache -t myapp .
docker build --no-cache -t myapp .
Multi-Platform Builds
多平台构建
docker buildx create --use
docker buildx create --use
Build for multiple platforms
为多平台构建并推送
docker buildx build --platform linux/amd64,linux/arm64
-t myapp:1.0 --push .
docker buildx build --platform linux/amd64,linux/arm64
-t myapp:1.0 --push .
Use BuildKit (enabled by default in recent versions)
使用BuildKit(新版本默认启用)
DOCKER_BUILDKIT=1 docker build -t myapp .
DOCKER_BUILDKIT=1 docker build -t myapp .
Use build cache from registry
使用仓库中的构建缓存
docker build --cache-from myapp:latest -t myapp:1.0 .
docker build --cache-from myapp:latest -t myapp:1.0 .
Export cache to registry
将缓存推送到仓库
docker build --cache-to type=registry,ref=myapp:buildcache
--cache-from type=registry,ref=myapp:buildcache
-t myapp:1.0 .
docker build --cache-to type=registry,ref=myapp:buildcache
--cache-from type=registry,ref=myapp:buildcache
-t myapp:1.0 .
Create remote context
创建远程上下文
docker context create remote --docker "host=ssh://user@remote"
docker context create remote --docker "host=ssh://user@remote"
docker context use remote
docker ps # Now runs on remote host
docker context use remote
docker ps # 此时命令会在远程主机执行
Switch back to default
切换回默认上下文
docker context use default
docker context use default
Most Common Commands
最常用命令
| Task | Command |
|---|
| Build image | docker build -t myapp:1.0 .
|
| Run container | docker run -d -p 8080:3000 myapp:1.0
|
| View logs | |
| Shell into container | docker exec -it myapp /bin/sh
|
| Stop container | |
| Remove container | |
| Start Compose | |
| Stop Compose | |
| View Compose logs | |
| Clean up all | |
| 任务 | 命令 |
|---|
| 构建镜像 | docker build -t myapp:1.0 .
|
| 运行容器 | docker run -d -p 8080:3000 myapp:1.0
|
| 查看日志 | |
| 进入容器shell | docker exec -it myapp /bin/sh
|
| 停止容器 | |
| 删除容器 | |
| 启动Compose服务 | |
| 停止Compose服务 | |
| 查看Compose日志 | |
| 清理所有未使用资源 | |
Recommended Base Images
推荐基础镜像
| Language/Framework | Recommended Base |
|---|
| Node.js | |
| Python | |
| Java | eclipse-temurin:21-jre-alpine
|
| Go | (for compiled binary) |
| .NET | mcr.microsoft.com/dotnet/aspnet:8.0-alpine
|
| PHP | |
| Ruby | |
| Static sites | |
| 语言/框架 | 推荐基础镜像 |
|---|
| Node.js | |
| Python | |
| Java | eclipse-temurin:21-jre-alpine
|
| Go | (用于编译后的二进制文件) |
| .NET | mcr.microsoft.com/dotnet/aspnet:8.0-alpine
|
| PHP | |
| Ruby | |
| 静态站点 | |
Docker containerization provides:
- Consistency across development, testing, and production
- Isolation for applications and dependencies
- Portability across different environments
- Efficiency through layered architecture and caching
- Scalability for microservices and distributed systems
Follow multi-stage builds, run as non-root, use specific versions, implement health checks, scan for vulnerabilities, and configure resource limits for production-ready containerized applications.
Docker容器化提供了:
- 一致性:开发、测试与生产环境一致
- 隔离性:应用与依赖相互隔离
- 可移植性:跨不同环境运行
- 高效性:分层架构与缓存机制
- 可扩展性:适用于微服务与分布式系统
遵循多阶段构建、以非root用户运行、使用特定版本、配置健康检查、漏洞扫描与资源限制等最佳实践,构建生产就绪的容器化应用。