Windsurf api

Cascade Removed Rate Limiting Configuration

API rate limiting is disabled after Cascade removed rate limiting configuration. This exposes endpoints to abuse attacks. Users can make unlimited requests, potentially causing DoS or rapid data exfiltration.

Cascade likely removed @RateLimiting or rate limiting bean configuration thinking it was unnecessary.

Error Messages You Might See

API rate limit exceeded Too many requests: 429 Too Many Requests Rate limit not enforced
API rate limit exceededToo many requests: 429 Too Many RequestsRate limit not enforced

Common Causes

  1. Cascade removed @RateLimiting annotation from controller methods
  2. Rate limiting bean or interceptor configuration deleted
  3. Cascade removed rate limiting properties from application.yml
  4. Redis connection for distributed rate limiting removed or misconfigured

How to Fix It

Implement rate limiting using Spring Cloud Gateway or custom interceptor. Configure request limits per IP/user (e.g., 100 requests/minute). Use Redis for distributed rate limiting across instances. Apply stricter limits to sensitive endpoints (/login, /payments). Test rate limiting with load testing tools.

Real developers can help you.

Luca Liberati Luca Liberati I work on monoliths and microservices, backends and frontends, manage K8s clusters and love to design apps architecture Nam Tran Nam Tran 10 years as fullstack developer Alvin Voo Alvin Voo I’ve watched the tech landscape evolve over the last decade—from the structured days of Java Server Pages to the current "wild west" of Agentic-driven development. While AI can "vibe" a frontend into existence, I specialize in the architecture that keeps it from collapsing. My expertise lies in the critical backend infrastructure: the parts that must be fast, secure, and scalable. I thrive on high-pressure environments, such as when I had only three weeks to architect and launch an Ethereum redemption system with minimal prior crypto knowledge, turning it into a major revenue stream. What I bring to your project: Forensic Debugging: I don't just "patch" bugs; I use tools like Datadog and Explain Analyzers to map out bottlenecks and resolve root causes—like significantly reducing memory usage by optimizing complex DB joins. Full-Stack Context: Deep experience in Node.js and React, ensuring backends play perfectly with mobile and web teams. Sanity in the Age of AI: I bridge the gap between "best practices" and modern speed, ensuring your project isn't just built fast, but built to last. zipking zipking I am a technologist and product builder dedicated to creating high-impact solutions at the intersection of AI and specialized markets. Currently, I am focused on PropScan (EstateGuard), an AI-driven SaaS platform tailored for the Japanese real estate industry, and exploring the potential of Archify. As an INFJ-T, I approach development with a "systems-thinking" mindset—balancing technical precision with a deep understanding of user needs. I particularly enjoy the challenge of architecting Vertical AI SaaS and optimizing Small Language Models (SLMs) to solve specific, real-world business problems. Whether I'm in a CTO-level leadership role or hands-on with the code, I thrive on building tools that turn complex data into actionable value. MFox MFox Full-stack professional senior engineer (15+years). Extensive experience in software development, qa, and IP networking. Prakash Prajapati Prakash Prajapati I’m a Senior Python Developer specializing in building secure, scalable, and highly available systems. I work primarily with Python, Django, FastAPI, Docker, PostgreSQL, and modern AI tooling such as PydanticAI, focusing on clean architecture, strong design principles, and reliable DevOps practices. I enjoy solving complex engineering problems and designing systems that are maintainable, resilient, and built to scale. Rudra Bhikadiya Rudra Bhikadiya I build and fix web apps across Next.js, Node.js, and DBs. Comfortable jumping into messy code, broken APIs, and mysterious bugs. If your project works in theory but not in reality, I help close that gap. Anthony Akpan Anthony Akpan Developer with 8 years of experience building softwares fro startups Daniel Vázquez Daniel Vázquez Software Engineer with over 10 years of experience on Startups, Government, big tech industry & consulting. Yovel Cohen Yovel Cohen I got a lot of experience in building Long-horizon AI Agents in production, Backend apps that scale to millions of users and frontend knowledge as well.

You don't need to be technical. Just describe what's wrong and a verified developer will handle the rest.

Get Help

Frequently Asked Questions

How do I implement rate limiting?

Use Spring Cloud Gateway RateLimiter filter or implement custom interceptor with Redis for distributed counting.

What's a reasonable rate limit?

Public APIs: 100-1000 req/min per IP. Authenticated: 1000-10000 req/min per user. Adjust for use case.

Related Windsurf Issues

Can't fix it yourself?
Real developers can help.

You don't need to be technical. Just describe what's wrong and a verified developer will handle the rest.

Get Help