A practical Go example application demonstrating DDD, Clean Architecture, and CQRS through step-by-step refactoring.
Wild Workouts is an example Go application that demonstrates how to apply Domain-Driven Design, Clean Architecture, and CQRS patterns through practical refactoring. It shows developers how to transform a typical Go application into a maintainable, well-structured system that remains easy to work with over time. The project includes a complete working application with infrastructure code and detailed articles explaining each refactoring step.
Go developers and software architects who want to learn how to implement DDD, Clean Architecture, and CQRS patterns in real-world applications. It's particularly valuable for teams building business applications that need to remain maintainable over the long term.
Unlike theoretical tutorials, this project provides a complete, working application that evolves through documented refactoring steps, showing both the problems in initial implementations and practical solutions. It combines multiple architectural patterns into a cohesive example with production-ready infrastructure.
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
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Demonstrates Domain-Driven Design patterns through iterative refactoring with real code examples, as detailed in the series of articles that show common issues and fixes.
Combines Clean Architecture, CQRS, and repository patterns in a cohesive Go application, providing clear separation of concerns in the internal code structure.
Includes complete Terraform setup for Google Cloud Run and Firebase, with deployment scripts that simplify cloud deployment, as shown in the live demo and articles.
Backed by over a dozen detailed articles that explain each refactoring step, offering hands-on learning from initial implementation to refined architecture.
Heavily reliant on Google Cloud Run and Firebase for authentication and deployment, making it difficult to adapt to other cloud providers or on-premise environments without significant changes.
Requires familiarity with multiple architectural patterns and cloud tools, as evidenced by the lengthy docker-compose and Terraform setup, which can be daunting for those new to these concepts.
Explicitly described as an ongoing refactoring project with more articles planned, leading to potential breaking changes or incomplete features that may affect stability.