Dependency Injection in Go: Patterns & Best Practices
Master DI patterns for testable Go code
Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Go applications.
Master DI patterns for testable Go code
Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Go applications.
LongRAG, Self-RAG, GraphRAG - Next-gen techniques
Retrieval-Augmented Generation (RAG) has evolved far beyond simple vector similarity search. LongRAG, Self-RAG, and GraphRAG represent the cutting edge of these capabilities.
Build blazing-fast APIs with automatic docs and type safety
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.
Build production-ready REST APIs with Go's robust ecosystem
Building high-performance REST APIs with Go has become a standard approach for powering systems at Google, Uber, Dropbox, and countless startups.
Build maintainable Python apps with SOLID design patterns
Clean Architecture has revolutionized how developers build scalable, maintainable applications by emphasizing separation of concerns and dependency management.
Transactions in Microservices with Saga pattern
The Saga pattern provides an elegant solution by breaking distributed transactions into a series of local transactions with compensating actions.
Privacy-preserving systems with zero-knowledge proofs
Zero-knowledge architecture represents a paradigm shift in how we design privacy-preserving systems.
Complete guide to multi-tenancy database patterns
Multi-tenancy is a fundamental architectural pattern for SaaS applications, allowing multiple customers (tenants) to share the same application infrastructure while maintaining data isolation.
Event-driven architecture with AWS Kinesis for scale
AWS Kinesis has become a cornerstone for building modern event-driven microservices architectures, enabling real-time data processing at scale with minimal operational overhead.
Optimize frontend APIs with GraphQL BFF and Apollo Server
The Backend for Frontend (BFF) pattern combined with GraphQL and Apollo Server creates a powerful architecture for modern web applications.