Building an API Request Limiter with Hashtables

Modern web applications must handle API requests efficiently to prevent abuse and manage rate limits. This text-based course guides you through building a robust request limiter from scratch, focusing on the fundamental data structures and logic required to throttle requests by resource identifier. You will start with the essential theory of rate limiting and hashtables before moving on to practical implementation patterns. By reading through clear, step-by-step explanations and structured code snippets, you will learn how to design a system that tracks request frequencies and filters out duplicates in real time. What you'll learn: Understand the core principles of rate limiting and duplicate prevention; Configure hashtables for rapid lookup and efficient memory management; Implement time-based filtering algorithms to track request intervals; Apply clean coding principles to structure your throttling logic; Analyze performance trade-offs of different data structures for high-throughput APIs. The course begins with foundational concepts of API rate limits and hashtable mechanics, then progresses to step-by-step code walkthroughs where you construct the limiter logic and handle edge cases like time window resets. This course is designed for beginner to intermediate developers who want to understand backend system design and data structures. No advanced prerequisites are required, though a basic familiarity with programming logic is helpful. Start reading to master the mechanics of API throttling and optimize your backend performance.