Designing the structure of software systems: patterns, principles, trade-offs and decision-making.
Most architecture docs rot within months. This guide shows how to keep architecture knowledge alive with decision records and living diagrams — or how to know when to stop documenting.
Capacity planning is estimating the resources a system needs to handle its load. Learn to estimate traffic, size databases, and build scale-out architectures before users arrive.
Great APIs feel obvious. This guide covers naming, versioning, error handling, pagination and idempotency — the practices that keep an API stable and teams productive for years.
CQRS and event sourcing are powerful but often overused patterns. Here is what each one is, the problems they solve, and the concrete conditions under which they are worth adopting.
Domain-driven design aligns software structure with the business domain. Learn the tactical building blocks — entities, value objects and aggregates — with plain examples.
The monolith-versus-microservices debate usually misses the point. Here is a decision framework based on team size, deployment needs and change frequency — not hype.
The layered architecture is the most widely used software pattern in industry. Learn how presentation, business and data layers work, and where the pattern shines or struggles.
Software architecture is the set of structural decisions that shape how a system is built and evolved. Learn the core concepts, why they matter, and how to start thinking like an architect.