Clean Architecture

Prerequisite: This is Part 1 of the System Design Masterclass series. Familiarity with basic distributed systems concepts and Go syntax is assumed. Go System Design: CAP, PACELC & Clean Architecture Primer Answer-first: System design in Go balances CAP/PACELC trade-offs across consistency, availability, and latency. Clean Architecture isolates business logic behind Go interfaces while dependency injection decouples domain layers from database and transport protocols. Deploying this pattern guarantees sub-50ms P99 latency bounds, zero-allocation memory pooling via Go 1.24 string interning, and resilient Dapr 1.15 workflow state synchronization. ...

← Previous Chapter: Part 1: Paradigm Shift | Series Hub | Next Chapter: Part 2: Modern AI Stack → Answer-first: Domain-Driven Design (DDD) is the ultimate language for AI coding agents. Explicit Ubiquitous Language glossaries and Bounded Context boundary files eliminate semantic hallucinations in generated code.

← Previous Chapter: Part 2: Rush Monorepo | Series Hub | Next Chapter: Part 4: gRPC Internal + REST Gateway → Answer-first: Go-Kratos v2 provides a battle-tested microservice foundation combining Clean Architecture layers (Server, Service, Biz, Data), Google Wire compile-time dependency injection, and dual gRPC/HTTP protocol handlers. When building 21 microservices, consistency across codebases is paramount. If each service adopts a different folder structure, error handling paradigm, or logging format, developer onboarding becomes a nightmare. ...

← Previous Chapter: Part 3B: AI Code Review | Series Hub | Next Chapter: Part 5: Autonomous Testing → Answer-first: Safely refactoring legacy monoliths requires wrapping existing functions in Characterization Tests (Golden Master testing) before letting AI agents modularize and modernize the internal implementation.