maister:aggregate-designer

To design correct DDD aggregate boundaries, extract all state-changing commands and analyze their concurrent conflict risks to determine locking requirements and avoid over- or under-scoping consistency units.

Command conflict analysis works by performing pairwise comparisons of state-changing commands to identify concurrent execution risks, surfacing edge cases like time-range overlaps and parameter-dependent conflicts that require locking.

You need to analyze aggregate locking strategies for booking systems when state-changing commands may execute simultaneously, requiring you to select optimistic or pessimistic locking based on expected traffic volume and concurrency patterns.

The best way to handle time-range conflict traps in resource scheduling aggregates is using a guided wizard to detect edge cases automatically, ensuring you define per-room or per-slot aggregates that avoid locking non-overlapping reservations.

Yes, you can use this aggregate design wizard for inventory management systems with high concurrency, as it applies to workflows with simultaneously executing state-changing commands and tailors locking strategies to expected traffic volume.

Aggregate design requires analyzing transitivity requirements and parameter-dependent conflicts because missing these edge cases during manual boundary decisions can lead to concurrency bugs, incorrect locking units, and compromised system consistency.