Backend

Concurrency vs. Parallelism: Architecting Backend Systems That Don't Suck

Look, as backend engineers, we all know the drill. We spend our days building systems that need to be rock-solid, scale like crazy, and, most importantly, not be slow. That means we’re constantly juggling a million things: tons of client requests, mountains of data, and integrations with all …

Unlocking Node.js Performance: A Deep Dive into Garbage Collection

Node.js, celebrated for its asynchronous, event-driven architecture and non-blocking I/O, is a cornerstone of modern web development. It empowers developers to build highly scalable and performant network applications. However, beneath its efficient exterior lies a critical component: the V8 …

Java Buzzwords: Decoding Spring, Spring Boot, Hibernate, Gradle & Maven

In the fast-paced world of software development, you’re bound to hear a lot of “buzzwords.” Some are fleeting trends, but others represent powerful tools and fundamental shifts that define how we build software. Today, we’re diving into the Java ecosystem to decode some key …

Unlock Thread Safety in Java: A Practical Guide to Locks

Java’s multithreading capabilities are a cornerstone of modern application development, allowing us to build responsive and efficient systems that can handle multiple tasks concurrently. But with great power comes great responsibility. When multiple threads interact with shared data, the risk …

Mastering Concurrent Java: A Deep Dive into the Java Memory Model

Java’s power shines in multithreaded applications, but writing correct and efficient concurrent code can feel like navigating a minefield. Threads often need to share data, yet the intricate dance between hardware optimizations and the Java Virtual Machine (JVM) can lead to insidious bugs like …