App Architecture

Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Python applications.

Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Go applications.

Table-driven tests are the idiomatic Go approach for testing multiple scenarios efficiently. When combined with parallel execution using t.Parallel(), you can dramatically reduce test suite runtime, especially for I/O-bound operations.

API documentation is crucial for any modern application, and for Go APIs Swagger (OpenAPI) has become the industry standard. For Go developers, swaggo provides an elegant solution to generate comprehensive API documentation directly from code annotations.

As AI and ML workloads become increasingly complex, the need for robust orchestration systems has become greater. Go’s simplicity, performance, and concurrency makes it an ideal choice for building the orchestration layer of ML pipelines, even when the models themselves are written in Python.

FastAPI has emerged as one of the most exciting Python web frameworks for building APIs, combining modern Python features with exceptional performance and developer experience.

Building high-performance REST APIs with Go has become a standard approach for powering systems at Google, Uber, Dropbox, and countless startups.

Go’s built-in testing package provides a powerful, minimalist framework for writing unit tests without external dependencies. Here are the testing fundamentals, project structure, and advanced patterns to build reliable Go applications.

Clean Architecture has revolutionized how developers build scalable, maintainable applications by emphasizing separation of concerns and dependency management.

The Saga pattern provides an elegant solution by breaking distributed transactions into a series of local transactions with compensating actions.

Zero-knowledge architecture represents a paradigm shift in how we design privacy-preserving systems.

Generics in Go represent one of the most significant language features added since Go 1.0. Introduced in Go 1.18, generics enable you to write type-safe, reusable code that works with multiple types without sacrificing performance or code clarity.

Multi-tenancy is a fundamental architectural pattern for SaaS applications, allowing multiple customers (tenants) to share the same application infrastructure while maintaining data isolation.

When data is the a valuable asset, securing it has never been more critical. From the moment information is created to the point it’s discarded, its journey is fraught with risks - whether stored, transferred, or actively used.

Unit testing ensures your Python code works correctly and continues to work as your project evolves. This comprehensive guide covers everything you need to know about unit testing in Python, from basic concepts to advanced techniques.

Most prominent ORMs for GO are GORM, Ent, Bun and sqlc. Here is a little comparison of them with examples of CRUD operations in pure GO.