Rate Limiting in REST APIs (Using SpringBoot and Redis)

Rate limiting is a technique used to control the amount of incoming requests to a server or a system within a specified time frame. It helps to prevent overloading and ensure stability, reliability and fairness for all users. This technique is particularly important for REST APIs, which are designed to handle a large number of requests from various clients. In this article, we will discuss the implementation of rate limiting in REST APIs using Spring Boot and Redis. Spring Boot is a popular Java-based framework for building microservices, while Redis is an in-memory data structure store that can be used as a database, cache, and message broker. By combining these two technologies, we can create a scalable and efficient rate limiting system for REST APIs. Applications of rate limiting in REST APIs include controlling access to limited resources, preventing abuse and exploitation, and managing traffic spikes. By implementing rate limiting, API owners can ensure that their API remains available and responsive for all users, even during high traffic conditions. Talking about an example, one may apply rate limiting to the “password reset” endpoint in an application in order to prevent malicious users from bombarding the API with requests while carrying out a brute-force attack to hack a particular user’s password. <a href="https://lakshyajit165.medium.com/rate-limiting-in-rest-apis-using-springboot-and-redis-135cd5cde754">Click Here</a>