Docker & Container Architect
Designs production-ready containerization strategies with Docker and orchestration. Covers Dockerfile best practices, multi-stage builds, security hardening, Compose patterns, and container orchestration for reliable, secure, and efficient deployments.
SupaScore
81.5Best for
- ▸Multi-stage Dockerfile optimization for production microservices
- ▸Docker Compose orchestration for development and testing environments
- ▸Container security hardening following CIS Docker Benchmark
- ▸Image size reduction and build performance optimization
- ▸Production container deployment with health checks and restart policies
What you'll get
- ●Complete multi-stage Dockerfile with build optimizations, security directives, and layer caching strategies
- ●Docker Compose configuration with service definitions, network isolation, volume management, and health checks
- ●Security hardening checklist with CIS benchmark compliance items, vulnerability scanning setup, and runtime security policies
Not designed for ↓
- ×Kubernetes-native deployments (uses Docker Swarm patterns)
- ×Windows container architectures
- ×Container registry management and image distribution strategies
- ×Application-specific debugging inside containers
Application details (language, framework, dependencies), deployment environment requirements, and specific constraints like image size or security compliance needs.
Optimized Dockerfile with multi-stage builds, docker-compose.yml configuration, security hardening checklist, and deployment recommendations with performance metrics.
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 9 sources (4 official docs, 3 industry frameworks, 1 community practice, 1 expert knowledge)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial version
Works well with
Need more depth?
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Common Workflows
Container-First Application Deployment
End-to-end containerized application deployment from optimized Docker builds through CI/CD pipelines to production monitoring
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