Spring Boot Rate Limiting: Prevent DDoS Attacks in Minutes

Описание: Build a production-grade rate limiter in Spring Boot using Bucket4j and Redis to prevent DDoS attacks and block traffic.

In this tutorial, you will learn how to protect your Spring Boot REST APIs from traffic spikes and malicious Denial of Service (DoS) attacks. We will move beyond basic theory and implement a distributed rate-limiting solution using Bucket4j backed by *Redis*. This ensures your application remains stable even under heavy load, and because we use Redis, this solution works perfectly in distributed microservices architectures.

We will build a custom OncePerRequestFilter to intercept incoming traffic, identify clients via IP address (handling proxies correctly), and enforce strict request quotas. You will also see how to integrate this logic seamlessly into the Spring Security filter chain and return clean, informative 429 Too Many Requests JSON responses to clients when they exceed their limits.

📝 Technical Key Takeaways
Distributed Rate Limiting: Configure Bucket4j with Redis to manage request buckets across multiple application instances.
Redis Configuration: Set up LettuceBasedProxyManager and define TTL strategies to prevent memory leaks in Redis.
Custom Security Filters: Create a OncePerRequestFilter to intercept requests before they hit the controller.
Real Client IPs: Correctly extract client IPs behind load balancers using the X-Forwarded-For header.

Error Handling: Generate structured 429 Too Many Requests responses with X-Rate-Limit-Retry-After-Seconds headers.

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00:00 Intro
02:39 Project Overview
03:54 Creating Test Controller
04:43 Initial API Test
06:46 Adding Bucket4j and Redis Dependencies
07:59 Configuring Redis Client and ProxyManager
13:59 Creating the Rate Limiting Service
18:21 Creating Rate Limit Filter
20:55 Extracting Client IP
22:53 Token Consumption
24:20 429 Response Logic
26:54 Security Configuration
29:46 Final Testing with Postman

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