sruja-architecture

Architecture as code uses a Domain Specific Language (DSL) to define components, relationships, and patterns. Designing with an architecture DSL allows you to generate, validate, and document system structures programmatically, ensuring consistency and avoiding anti-patterns across your codebase.

To validate architecture DSL files, apply rule-based checks for component types, relationship labels, and architectural patterns. Validation ensures DSLs conform to guidelines, avoid common anti-patterns, and satisfy requirements for trade-off analyses and decision documentation.

Deciding between a monolith versus microservices requires evaluating architectural patterns, component relationships, and trade-offs. You can document these decisions using DSL templates to analyze anti-patterns, validate requirements, and ensure your chosen architecture fits your scale and context.

Yes, you can refactor existing architecture DSL files by applying validation guidance and templates. This process enforces architectural principles, corrects component types, updates relationship labels, and documents trade-offs to ensure your refactored DSL avoids anti-patterns and meets quality guidelines.

To document architectural trade-offs in a DSL, use provided templates to record component types, relationship labels, and pattern evaluations. This ensures your decision documentation captures anti-pattern avoidance, satisfies validation requirements, and clearly outlines the reasoning behind your architecture choices.

Generating event-driven architecture DSL files supports patterns for components, relationships, and trade-off analyses. The DSL templates enforce validation, ensure anti-pattern avoidance, and provide guidelines for documenting decisions across monoliths, microservices, and event-driven designs.