Containerize Application
Containerize application with optimized Docker configuration, security, and multi-stage builds
npx claude-code-templates@latest --command deployment/containerize-application Scanned by NVIDIA SkillSpector
Automated static analysis (no LLM) · v2.12.0 · 2026-10-23
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Content
Application Containerization
Containerize application for deployment: $ARGUMENTS
Current Application Analysis
- Application type: @package.json or @setup.py or @go.mod or @pom.xml (detect runtime)
- Existing Docker: @Dockerfile or @docker-compose.yml (if exists)
- Dependencies: !
find . -name "*requirements*.txt" -o -name "package*.json" -o -name "go.mod" | head -3 - Port configuration: !
grep -r "PORT\|listen\|bind" src/ 2>/dev/null | head -3 || echo "Port detection needed" - Build tools: @Makefile or build scripts detection
Task
Implement production-ready containerization strategy:
Application Analysis and Containerization Strategy
- Analyze application architecture and runtime requirements
- Identify application dependencies and external services
- Determine optimal base image and runtime environment
- Plan multi-stage build strategy for optimization
- Assess security requirements and compliance needs
Dockerfile Creation and Optimization
- Create comprehensive Dockerfile with multi-stage builds
- Select minimal base images (Alpine, distroless, or slim variants)
- Configure proper layer caching and build optimization
- Implement security best practices (non-root user, minimal attack surface)
- Set up proper file permissions and ownership
Build Process Configuration
- Configure .dockerignore file to exclude unnecessary files
- Set up build arguments and environment variables
- Implement build-time dependency installation and cleanup
- Configure application bundling and asset optimization
- Set up proper build context and file structure
Runtime Configuration
- Configure application startup and health checks
- Set up proper signal handling and graceful shutdown
- Configure logging and output redirection
- Set up environment-specific configuration management
- Configure resource limits and performance tuning
Security Hardening
- Run application as non-root user with minimal privileges
- Configure security scanning and vulnerability assessment
- Implement secrets management and secure credential handling
- Set up network security and firewall rules
- Configure security policies and access controls
Docker Compose Configuration
- Create docker-compose.yml for local development
- Configure service dependencies and networking
- Set up volume mounting and data persistence
- Configure environment variables and secrets
- Set up development vs production configurations
Container Orchestration Preparation
- Prepare configurations for Kubernetes deployment
- Create deployment manifests and service definitions
- Configure ingress and load balancing
- Set up persistent volumes and storage classes
- Configure auto-scaling and resource management
Monitoring and Observability
- Configure application metrics and health endpoints
- Set up logging aggregation and centralized logging
- Configure distributed tracing and monitoring
- Set up alerting and notification systems
- Configure performance monitoring and profiling
CI/CD Integration
- Configure automated Docker image building
- Set up image scanning and security validation
- Configure image registry and artifact management
- Set up automated deployment pipelines
- Configure rollback and blue-green deployment strategies
Testing and Validation
- Test container builds and functionality
- Validate security configurations and compliance
- Test deployment in different environments
- Validate performance and resource utilization
- Test backup and disaster recovery procedures
- Create documentation for container deployment and management