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1178 Name Skill Eadf1bfd
ASecurityGenerate Dockerfiles, Docker Compose configurations, and Kubernetes manifests for containerizing applications. Use when: (1) Creating Dockerfiles for Node.js, Python, Java, Go, or other applications, (2) Setting up multi-service environments with Docker Compose, (3) Generating Kubernetes deployments, services, and ingress configurations, (4) Optimizing container images for production, (5) Implementing containerization best practices. Provides both ready-to-use templates and custom-generated c...
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[](https://www.skillsdirectory.com/skills/tools-only-1178-name-skill-eadf1bfd)---
name: containerization-assistant
description: "Generate Dockerfiles, Docker Compose configurations, and Kubernetes manifests for containerizing applications. Use when: (1) Creating Dockerfiles for Node.js, Python, Java, Go, or other applications, (2) Setting up multi-service environments with Docker Compose, (3) Generating Kubernetes deployments, services, and ingress configurations, (4) Optimizing container images for production, (5) Implementing containerization best practices. Provides both ready-to-use templates and custom-generated configurations based on project requirements."
---
# Containerization Assistant
Generate production-ready Docker and Kubernetes configurations for your applications.
## Quick Start
### Generate a Dockerfile
**For existing templates**:
```bash
# Node.js application
cp assets/Dockerfile.nodejs ./Dockerfile
# Python application
cp assets/Dockerfile.python ./Dockerfile
# Java application (Spring Boot)
cp assets/Dockerfile.java ./Dockerfile
# Go application
cp assets/Dockerfile.go ./Dockerfile
```
**For custom generation**: Describe your application stack and requirements, and a custom Dockerfile will be generated.
### Generate Docker Compose
```bash
# Multi-service application template
cp assets/docker-compose.yml ./
cp assets/.env.example ./.env
# Edit .env with your configuration
```
### Generate Kubernetes Manifests
Kubernetes configurations are generated based on your deployment requirements. See **[kubernetes_patterns.md](references/kubernetes_patterns.md)** for complete examples.
## Available Templates
### Dockerfiles
**Node.js** (`assets/Dockerfile.nodejs`):
- Multi-stage build for minimal image size
- Alpine-based (~170MB vs ~900MB)
- Non-root user for security
- Production-optimized dependencies
**Python** (`assets/Dockerfile.python`):
- Multi-stage build with builder pattern
- Slim base image
- User-space pip installations
- Non-root user
**Java** (`assets/Dockerfile.java`):
- Multi-stage build with JDK builder
- JRE-only runtime for smaller image
- Spring Boot optimized
- Non-root user
**Go** (`assets/Dockerfile.go`):
- Multi-stage build
- Minimal Alpine runtime
- Static binary compilation
- Non-root user
### Docker Compose
**Multi-service stack** (`assets/docker-compose.yml`):
- Web application service
- PostgreSQL database
- Redis cache
- Nginx reverse proxy
- Health checks
- Volume management
- Network isolation
### Environment Configuration
**Environment template** (`assets/.env.example`):
- Database credentials
- Application secrets
- Service configuration
- API keys
## Generation Workflow
### 1. Analyze Project
Identify:
- Programming language and framework
- Dependencies and build tools
- Runtime requirements
- Services needed (database, cache, etc.)
### 2. Choose Approach
**Template-based**:
- Use for common stacks (Node.js, Python, Java, Go)
- Copy and customize template
- Fast and reliable
**Custom generation**:
- Use for unique requirements
- Generate from scratch
- Full customization
### 3. Customize Configuration
**Dockerfile customization**:
```dockerfile
# Update base image version
FROM node:18-alpine # Change version as needed
# Add build arguments
ARG NODE_ENV=production
# Modify exposed port
EXPOSE 3000 # Change to your port
# Update startup command
CMD ["node", "server.js"] # Change to your entry point
```
**Docker Compose customization**:
```yaml
services:
web:
build:
context: .
dockerfile: Dockerfile
ports:
- "3000:3000" # Change port mapping
environment:
- DATABASE_URL=${DATABASE_URL} # Add environment variables
```
### 4. Build and Test
```bash
# Build Docker image
docker build -t myapp:1.0.0 .
# Test locally
docker run -p 3000:3000 myapp:1.0.0
# Test with Docker Compose
docker-compose up -d
# View logs
docker-compose logs -f
# Stop services
docker-compose down
```
### 5. Optimize and Deploy
See **[dockerfile_best_practices.md](references/dockerfile_best_practices.md)** for:
- Image size optimization
- Security hardening
- Build caching strategies
- Multi-stage build patterns
## Common Scenarios
### Scenario 1: Containerize Node.js Express API
**Requirements**: Node.js 18, PostgreSQL database, Redis cache
**Steps**:
1. Use `Dockerfile.nodejs` template
2. Use `docker-compose.yml` for local development
3. Customize environment variables
4. Add health check endpoint
**Generated files**:
- `Dockerfile` - Multi-stage Node.js build
- `docker-compose.yml` - Web, PostgreSQL, Redis services
- `.env` - Configuration variables
- `.dockerignore` - Exclude unnecessary files
### Scenario 2: Containerize Python Django Application
**Requirements**: Python 3.11, PostgreSQL, Celery workers
**Steps**:
1. Use `Dockerfile.python` template
2. Generate custom docker-compose with Celery service
3. Add migration init container
4. Configure health checks
**Generated files**:
- `Dockerfile` - Multi-stage Python build
- `docker-compose.yml` - Web, PostgreSQL, Redis, Celery
- `celery-worker.Dockerfile` - Celery worker image
- `.env` - Database and Celery configuration
### Scenario 3: Deploy to Kubernetes
**Requirements**: Deploy containerized app to Kubernetes with scaling
**Steps**:
1. Build and push Docker image
2. Generate Deployment manifest
3. Generate Service (LoadBalancer)
4. Generate Ingress with TLS
5. Add HorizontalPodAutoscaler
See **[kubernetes_patterns.md](references/kubernetes_patterns.md)** for complete examples.
### Scenario 4: Microservices Architecture
**Requirements**: Multiple services (API, Auth, Workers) with shared database
**Steps**:
1. Generate Dockerfile for each service
2. Create docker-compose with all services
3. Configure service discovery
4. Set up shared networks and volumes
**Generated structure**:
```
services/
api/
Dockerfile
auth/
Dockerfile
worker/
Dockerfile
docker-compose.yml
.env
```
## Dockerfile Best Practices
### Multi-Stage Builds
Reduce image size by separating build and runtime:
```dockerfile
# Build stage
FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
# Production stage
FROM node:18-alpine
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
CMD ["node", "dist/index.js"]
```
### Security
```dockerfile
# Use non-root user
RUN addgroup -g 1001 -S nodejs && \
adduser -S nodejs -u 1001 -G nodejs
USER nodejs
# Use specific versions
FROM node:18.17.0-alpine # Not 'latest'
# Scan for vulnerabilities
# docker scan myapp:latest
```
### Optimization
```dockerfile
# Order layers from least to most frequently changing
COPY package*.json ./ # Changes less often
RUN npm ci
COPY . . # Changes more often
# Use .dockerignore
# node_modules
# .git
# *.md
```
For comprehensive best practices, see **[dockerfile_best_practices.md](references/dockerfile_best_practices.md)**.
## Kubernetes Deployment
### Basic Deployment
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp
spec:
replicas: 3
selector:
matchLabels:
app: myapp
template:
spec:
containers:
- name: myapp
image: myapp:1.0.0
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
```
### Service + Ingress
```yaml
apiVersion: v1
kind: Service
metadata:
name: myapp-service
spec:
type: ClusterIP
selector:
app: myapp
ports:
- port: 80
targetPort: 8080
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: myapp-ingress
annotations:
cert-manager.io/cluster-issuer: "letsencrypt-prod"
spec:
tls:
- hosts:
- myapp.example.com
secretName: myapp-tls
rules:
- host: myapp.example.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: myapp-service
port:
number: 80
```
For complete Kubernetes patterns including ConfigMaps, Secrets, StatefulSets, Jobs, and more, see **[kubernetes_patterns.md](references/kubernetes_patterns.md)**.
## Configuration Management
### Environment Variables
**Development** (`.env`):
```bash
NODE_ENV=development
DATABASE_URL=postgresql://localhost/myapp_dev
DEBUG=true
```
**Production** (Kubernetes Secret):
```yaml
apiVersion: v1
kind: Secret
metadata:
name: myapp-secrets
type: Opaque
stringData:
database_url: "postgresql://prod-db/myapp"
api_key: "secret-key"
```
### ConfigMaps
```yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: myapp-config
data:
log_level: "info"
feature_flags: |
{
"new_ui": true,
"beta_features": false
}
```
## Troubleshooting
### Docker Build Issues
**Problem**: Build fails with permission errors
**Solution**:
```dockerfile
RUN chown -R appuser:appuser /app
USER appuser
```
**Problem**: Image too large
**Solution**:
- Use multi-stage builds
- Use Alpine base images
- Add .dockerignore file
- Clean up in same RUN layer
### Container Runtime Issues
**Problem**: Container exits immediately
**Solution**:
- Check CMD/ENTRYPOINT
- Verify application starts correctly
- Check logs: `docker logs <container>`
**Problem**: Cannot connect to container
**Solution**:
- Verify port mapping: `-p 3000:3000`
- Check application binds to `0.0.0.0`, not `localhost`
- Verify EXPOSE directive in Dockerfile
### Kubernetes Issues
**Problem**: Pod stuck in Pending state
**Solution**:
```bash
kubectl describe pod <pod-name>
# Check events for resource constraints or image pull issues
```
**Problem**: Pod crashes with OOMKilled
**Solution**:
```yaml
resources:
limits:
memory: "512Mi" # Increase memory limit
```
## Reference Documentation
### Dockerfile Best Practices
See **[dockerfile_best_practices.md](references/dockerfile_best_practices.md)** for:
- Multi-stage build patterns
- Layer caching optimization
- Security best practices
- Image size optimization
- Health checks
- Language-specific patterns (Node.js, Python, Java, Go)
- Development vs Production configurations
### Kubernetes Patterns
See **[kubernetes_patterns.md](references/kubernetes_patterns.md)** for:
- Deployments and StatefulSets
- Services (ClusterIP, LoadBalancer, NodePort)
- ConfigMaps and Secrets
- Ingress with TLS
- HorizontalPodAutoscaler
- PersistentVolumeClaims
- Jobs and CronJobs
- Health probes (liveness, readiness, startup)
- NetworkPolicies
- Multi-container pods and init containers
## Advanced Topics
### CI/CD Integration
**GitHub Actions**:
```yaml
name: Build and Push Docker Image
on:
push:
branches: [main]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Build Docker image
run: docker build -t myapp:${{ github.sha }} .
- name: Push to registry
run: |
echo ${{ secrets.DOCKER_PASSWORD }} | docker login -u ${{ secrets.DOCKER_USERNAME }} --password-stdin
docker push myapp:${{ github.sha }}
```
### Image Registry
**Push to Docker Hub**:
```bash
docker tag myapp:1.0.0 username/myapp:1.0.0
docker push username/myapp:1.0.0
```
**Push to AWS ECR**:
```bash
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 123456789.dkr.ecr.us-east-1.amazonaws.com
docker tag myapp:1.0.0 123456789.dkr.ecr.us-east-1.amazonaws.com/myapp:1.0.0
docker push 123456789.dkr.ecr.us-east-1.amazonaws.com/myapp:1.0.0
```
### Helm Charts
For complex Kubernetes deployments, consider using Helm charts for templated manifests and version management.
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