Scalability
Load Balancing: L4 vs L7, Algorithms, and Health Checks
A load balancer is usually the first box you draw after the clients, and the depth you can give on it is a fast proxy for how senior you sound. This covers L4 vs L7, the algorithms and their failure modes, health checks, and the mistake of moving your single point of failure instead of removing it.
Back-of-the-Envelope Estimation for System Design
Most system design answers go wrong one step before the boxes and arrows: the candidate never works out how big the system is. Here are the four formulas, the latency numbers worth memorizing, and a worked Twitter example that turns four calculations into five architecture decisions.
A Repeatable Framework for High-Level Design Interviews
Most system design interviews are lost in the first five minutes, not because the candidate lacks knowledge, but because they jump to boxes and arrows before understanding what they are building. Here is the six-step framework that fixes it, and why the order matters more than any individual step.
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 …