Architecture and Data

Your database schema made perfect sense two years ago. Now every query joins six tables, migrations take full weekends, and the team treats the billing module as a no-go zone.

Architecture and data decisions compound. Good ones buy you options. Bad ones become constraints disguised as "the way things work."

68 principles. Zero hand-waving. Each follows the same rigorous format: a clear explanation, warning signs that reveal violations, and markers that confirm correct application. No "it depends" without explaining why.

Three chapters cover:

• Architectural Patterns-from Hexagonal and Clean Architecture to Modular Monolith and Event-Driven, evaluated as trade-offs rather than doctrine
• Domain-Driven Design-Bounded Contexts, Aggregates, and strategic patterns that keep large systems coherent
• Data Management-caching strategies, Event Sourcing, CQRS, and persistence patterns that prevent your data layer from bottlenecking every decision

For engineers making system-level decisions who already understand foundational design concepts like SOLID, cohesion, and coupling.

Architecture and Data is Book 2 of the Software Development Principles series. Language-agnostic. Framework-independent. Built to last.

Good architecture is not about picking the right pattern. It is about making decisions that keep future decisions open.