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Mastering High-Performance Image Processing in Go

Image processing is a staple requirement for modern backend systems. Whether you are building a user profile system that needs to generate thumbnails, an e-commerce platform that needs to standardize product photos, or a content management system (CMS) handling massive uploads, the way you handle images matters.

Mastering Concurrency: Building a High-Performance Distributed Cache in Go from Scratch

Introduction # In the landscape of modern backend architecture, caching is the unsung hero that stands between your database and a total meltdown. While tools like Redis or Memcached are industry standards, strictly using them without understanding their internals limits your growth as a senior engineer.

Mastering Go Concurrency: Advanced Worker Pools and Pipeline Patterns

It is 2025, and the landscape of backend development has solidified around high-concurrency, low-latency requirements. While the hardware isn’t getting infinitely faster per core, it is getting “wider”—more cores, more threads. Go (Golang) remains the undisputed champion of this domain, thanks to its lightweight goroutines and the CSP (Communicating Sequential Processes) model.