Master Rate Limiting in Springboot - One Shot : LLD + HLD + Mini Project + Hands on Algorithm Demo!

Welcome to another deep-dive session by Sunchit Dudeja from Coding Decoded! In this video, we master one of the most critical concepts in backend system design — Rate Limiting. Whether you’re a backend engineer, a system design enthusiast, or preparing for top tech interviews, this comprehensive session will help you understand, design, and implement rate limiting in Spring Boot from the ground up. We’ll explore why rate limiting is essential, dive into real-world use cases (like banking systems and Zomato), and then move into a hands-on implementation using the Bucket4j library. You’ll also learn both High-Level Design (HLD) and Low-Level Design (LLD) aspects, followed by a live coding demo and an algorithm dry run to see how the Token Bucket mechanism actually works behind the scenes. 💡 By the end of this video, you’ll gain complete clarity on: When and where to apply rate limiting in your microservices How to protect APIs from the attacks and overloads How to implement throttling effectively using Bucket4j How the underlying algorithm (Token Bucket) maintains fair and stable API usage Chapters 00:00 - Introduction & Why Rate Limiting Matters 02:00 - What is Rate Limiting? (Definition + Real-life Use Cases) 04:00 - ATM Example: Preventing Brute-force Attacks 06:00 - Real-life Example: Protecting Zomato from Bot Attacks 08:00 - Importance of Throttling & Server Protection 10:00 - Spring Boot Project Demo Setup (Forgot Password API) 12:00 - Implementing Rate Limiting using Bucket4j Library 14:00 - Configuration & Bean Setup (RateLimiterConfig) 16:00 - Controller and Service Implementation Explained 18:00 - Algorithm Walkthrough (Token Bucket Consumption) 20:00 - Dry Run of the Algorithm with Live Execution 22:00 - Understanding Token Behavior & Request Rejection Logic 25:00 - Summary & Key Takeaways (When & How to Apply Rate Limiting) Github code link: https://github.com/Sunchit/ratelimiter 🧩 Technologies & Concepts Covered: Spring Boot | Microservices | Java | Bucket4j | Redis Integration | API Throttling | Rate Limiting Algorithms | Token Bucket | System Design | HLD + LLD | Scalable Backend Design 👨‍💻 About the Speaker: Sunchit Dudeja is a Senior Backend Engineer with over a decade of experience in building high-scale distributed systems. Through Coding Decoded, he simplifies complex backend and system design topics to help engineers crack interviews and build production-ready systems. 🔥 Don’t forget to like, share & subscribe to stay updated with more deep-dive sessions on advanced backend concepts, real-world architecture, and hands-on project demos! #SpringBoot #RateLimiting #SystemDesign #CodingDecoded #Java #Microservices #Bucket4j #BackendEngineering #Throttling Join this channel to get access to perks:    / @codewithsunchitdudeja