Define module boundaries, dependency direction, data ownership, resilience, and distributed-system trade-offs. Use for architecture, service boundaries, coupling, scalability, or failure-cascade decisions; not generic project setup.
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Name the data owner and define dependency direction (outer layers depend on inner)
Select communication pattern (sync REST, async event, or hybrid) and failure behavior
Validate CAP trade-offs only for distributed components
Record boundary, trade-off, and rollback in an ADR
For a failing synchronous dependency, keep the critical path explicit: timeout and circuit-break the dependency, return a defined degraded/fallback result where safe, and move non-critical notifications to an asynchronous event.
Architectural Principles
SoC: Divide into distinct sections per concern.
SSOT: One source, reference elsewhere.
Fail Fast: Fail visibly when errors occur.
Graceful Degradation: Core functional even if secondary fails.
Modularity & Coupling
High Cohesion: Related functionality in one module.
Loose Coupling: Use interfaces for communication.
DI: Inject dependencies, don't hardcode.
See implementation examples for dependency flow diagrams.
Common Patterns
Layered: Presentation -> Logic -> Data.
Event-Driven: Async communication between decoupled components.
Clean/Hexagonal: Core logic independent of frameworks.
Statelessness: Favor stateless for scaling/testing.
Distributed Systems
CAP: Trade-off Consistency/Availability/Partition tolerance. See CAP & Consistency Patterns.
Idempotency: Operations repeatable without side effects. See Idempotency Patterns.
Circuit Breaker: Fail fast on failing services. See Resilience Patterns.
Eventual Consistency: Design for async data sync. See CAP & Consistency Patterns.
Documentation & Evolution
Design Docs: Write specs before major implementations.
Versioning: Version APIs/schemas for backward compatibility.
Extensibility: Use Strategy/Factory for future changes.