Section 2 · 14 Articles

Architecture Styles

Comprehensive reference for all major architectural styles — from monoliths to event-driven systems, covering when to apply each, trade-offs, and migration paths.

Monolith Architecture

A single deployable unit — when it's the right choice and how to keep it well-structured as it grows.

Arch Style Simplicity

Modular Monolith

Enforced internal boundaries within a monolith — simplicity now with migration flexibility later.

Arch Style

Microservices Architecture

Independently deployable services aligned to business capabilities — autonomy, isolation, and scaling trade-offs.

Arch Style Essential

Service-Oriented Architecture (SOA)

Coarse-grained services with strong integration orientation for enterprise and legacy integration.

Arch Style Enterprise

Event-Driven Architecture

Components communicate through events — enabling decoupling, scalability, and asynchronous processing.

Arch Style Essential

Hexagonal Architecture

Business logic isolated from infrastructure via ports and adapters — for testability and replaceability.

Arch Style Clean Code

Clean Architecture

Concentric layers separating business rules from frameworks and external systems.

Arch Style Clean Code

Onion Architecture

Domain-centric layering where all dependencies point inward toward the domain model.

Arch Style

CQRS Pattern

Separating read and write models when read and write workloads have very different requirements.

Arch Style Essential

Event Sourcing

Persisting state as a sequence of events for auditability, replay, and temporal reconstruction.

Arch Style Advanced

Serverless Architecture

Managed compute with event-triggered execution — for intermittent or bursty workloads.

Arch Style Cloud

Peer-to-Peer Systems

Nodes coordinate without a central controller — for distribution, resilience, and trust minimization.

Arch Style

Data Mesh Architecture

Domain-owned data products as a distributed approach to analytical data management.

Arch Style Data

Space-Based Architecture

Distributing processing and storage across multiple nodes using in-memory data grids.

Arch Style Scalability