Clean Architecture

Series Hub: System Design Masterclass | Next Chapter: Part 2: L4/L7 Load Balancing, API Gateways & eBPF Routing → Prerequisite: This is Part 1 of the System Design Masterclass series. Familiarity with basic distributed systems concepts and Go syntax is assumed. Answer-first: System design in Go balances CAP and PACELC trade-offs across consistency, availability, and latency. Clean Architecture isolates core business logic behind strict Go interfaces, while dependency injection decouples domain entities from database and transport protocols. Deploying this pattern guarantees sub-50ms P99 latency bounds, zero-allocation memory pooling, and resilient microservice state synchronization. ...

← Previous Chapter: Part 2: Rush Monorepo for 21 Go & Next.js Apps | Series Hub | Next Chapter: Part 4: gRPC Internal + REST Gateway → Answer-first: The enterprise-grade Go microservice architecture on this platform is built on Kratos v2 with a strict 5-layer model, Google Wire dependency injection, parallel HTTP/REST and gRPC transports, and a shared library that standardizes logging and middleware. For engineers coming over from Magento PHP, the shift to Go microservices is not just a change of programming language — it is a fundamentally different way of organizing code. Magento has controllers, models, blocks, helpers, and plugins. Go with Kratos v3 (fully optimized for Go 1.25) has exactly 5 layers, each with a crisply defined responsibility. ...

Tech Radar: Kratos v2.9 & Dapr 1.15: Virtual Actors, Distributed Workflows & Resilience Patterns for High-Throughput Microservices in Go 1.25 Answer-First: Building high-throughput microservices capable of exceeding 150K RPS requires decoupling business domain logic from distributed infrastructure complexity. Go 1.25 combined with Kratos v2.9 establishes strict Clean Architecture boundaries with zero database leakage, while Dapr 1.15 offloads virtual actor concurrency, durable workflow sagas, and state resilience to high-performance localhost sidecars, reducing distributed coordination latency by 68% and eliminating manual mutex deadlocks. ...