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.
Golang
Breaking the Chain: Dependency Inversion, Interfaces, and Testable Go Code
A deep dive into the Dependency Inversion Principle, its implementation with interfaces and dependency injection, and how it unlocks clean, testable Go code.
DSA - Data Structures and Algorithms
A deep dive into Data Structures and Algorithms (DSA) using Go and its Python counterpart, covering essential concepts, implementations, and best practices.
Graph Theory Algorithms 4 Competitive Programming
A comprehensive guide to graph theory algorithms in Go, covering essential concepts, implementations, and best practices for competitive programming.
Concurrency in Go
A deep dive into concurrency in Go, covering goroutines, channels, and real-world patterns.
Debugging Go Code: Techniques, Tools, and IDE Support
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.
Profiling Go Applications: CPU, Memory, and Concurrency Insights
Learn how to profile Go applications using pprof, trace, and runtime tools to uncover bottlenecks, memory leaks, and concurrency issues in production and development.
Building SaaS Microservices in Go: REST, gRPC, GraphQL, and WebSocket APIs
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.
Kubernetes Operators in Go
Learn how to build and understand Kubernetes Operators in Go — from controllers and reconciliation loops to the Operator SDK.