Scalability

Batching API requests is a proven technique to improve throughput, reduce overhead, and tame the N+1 request problem across web and mobile apps. But batching is more than “combine a few calls into one.” To do it well you need to consider protocol details, error semantics, idempotency, observability, rate limiting, and more. This article explains how batching works, when to use it, and how to design and implement robust batch endpoints with real code examples. ...

Introduction System design is the craft of turning ideas into resilient, scalable, and cost‑effective products. It spans protocols, storage engines, compute orchestration, observability, and more. This deep, zero‑to‑hero tutorial curates the top 50 technologies you should know—organized by category—with concise explanations, practical tips, code samples, and a learning path. Whether you’re preparing for interviews or architecting large‑scale systems, use this guide as your roadmap. Note: You don’t have to master everything at once. Build a foundation, then layer on technologies as your use cases demand. ...