Overview

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.

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