Architecture and Data: System Structure, Domain Modeling, and Persistence

By Sergey Nosov

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 doctrineDomain-Driven Design-Bounded Contexts, Aggregates, and strategic patterns that keep large systems coherentData 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.

• Format: Paperback
• Language: English
• ISBN: B0GNZWB4NB
• ISBN13: 9798248816804
• Release Date: February 2026
• Publisher: Independently Published
• Length: 568 Pages
• Weight: 2.45 lbs.
• Dimensions: 1.1" x 8.0" x 10.0"