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System Design

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 the Go Scheduler: A Deep Dive into Goroutines and the G-M-P Model

Introduction # If you have been writing Go for any length of time, you likely know the “magic” of the language: put the keyword go in front of a function, and it runs concurrently. It feels almost free. You can spawn 100,000 goroutines on a standard laptop, and the program just hums along. Try doing that with Java threads or OS pthreads, and your machine will likely grind to a halt before you hit 10,000.

Mastering PHP Microservices: A Complete Implementation Guide from Scratch

Mastering PHP Microservices: A Complete Implementation Guide from Scratch # The debate between Monolithic architecture and Microservices has been raging for over a decade. But here we are in 2025, and the dust has largely settled. The answer, as always in software engineering, is “it depends.” However, for enterprise-grade applications requiring high scalability, independent deployment cycles, and team autonomy, Microservices remain the gold standard.

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.