Best Practices for Software Development in Go
A collection of real-world Go best practices from years of building backend systems, APIs, and cloud-native services.
A collection of real-world Go best practices from years of building backend systems, APIs, and cloud-native services.
A deep dive into the Dependency Inversion Principle, its implementation with interfaces and dependency injection, and how it unlocks clean, testable Go code.
Explore creational, structural, and behavioral design patterns in Go with clear explanations and code snippets.
A deep dive into Data Structures and Algorithms (DSA) using Go, covering essential concepts, implementations, and best practices.
A comprehensive guide to graph theory algorithms in Go, covering essential concepts, implementations, and best practices for competitive programming.
A deep dive into concurrency in Go, covering goroutines, channels, and real-world patterns.
Learn effective debugging techniques for Go code using tools like Delve, and how to leverage modern IDEs such as VSCode and IntelliJ IDEA for faster diagnosis and fixes.
Learn how to profile Go applications using pprof, trace, and runtime tools to uncover bottlenecks, memory leaks, and concurrency issues in production and development.
Explore how to build SaaS-ready microservices in Go using REST, gRPC, GraphQL, and WebSockets. Learn the trade-offs, use cases, and tooling for each API style.
Learn how to implement a flexible and extensible protocol pattern in Go for building structured CLI interfaces and stream-based IPC communication.