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Concurrency

Mastering High-Performance Image Processing in Go

·1753 words·9 mins
Go Advanced Media Processing Performance Golang Image-Processing Concurrency Backend Performance Go-Routines
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.

Demystifying Rust Async: Building Your Own Future and Executor from Scratch

·1988 words·10 mins
Advanced Rust Rust Async-Await Concurrency Performance Systems-Programming Internals
If you have been working with Rust for a while, you rely heavily on tokio or async-std. By 2025, these runtimes have become incredibly mature, handling everything from networking to file I/O with impressive efficiency. However, for a Senior Rust Developer, treating the async runtime as a “black box” is a liability.

Unblocking the Main Thread: A Deep Dive into Web Workers in React

·1484 words·7 mins
React Performance Web Development Advanced JavaScript React Web Workers Performance Typescript Vite Concurrency Multithreading
Let’s be real for a second. We’ve all been there: you build a beautiful dashboard, implement a complex data filter or a large CSV parser, and the moment the user clicks “Process,” the UI locks up. The spinner freezes, the hover effects die, and the browser screams “Page Unresponsive.”

Mastering Database Connection Pooling and Transaction Management in Go

·1795 words·9 mins
Backend Development Go Database Sql Performance PostgreSQL Best Practices Concurrency
Introduction # In the landscape of modern backend development, the database often becomes the first bottleneck as your application scales. While Go (Golang) is celebrated for its concurrency model and raw performance, its standard library package database/sql is frequently misunderstood. It is not just a connector; it is a sophisticated connection pool manager.

Mastering Rust Concurrency: A Deep Dive into Channels, Mutexes, and Atomics

·1859 words·9 mins
Systems Programming Rust Concurrency Multithreading Performance Software Architecture Best Practices
In the landscape of systems programming in 2026, hardware parallelism is no longer a luxury—it is the default. With consumer CPUs strictly increasing core counts, single-threaded applications are leaving performance on the table. However, concurrent programming remains one of the most notoriously difficult areas of software engineering, prone to race conditions, deadlocks, and impossible-to-reproduce bugs.