Rate Limiting Not Enforced on API Endpoint
API has no rate limiting. Malicious users can spam endpoints with thousands of requests, causing DoS attack. Legitimate requests are throttled. API was designed but rate limiting was deferred as 'optimization' and never implemented.
No mechanism exists to slow down or reject excessive requests from single client.
Error Messages You Might See
Common Causes
- Rate limiting not implemented at all, feature deferred
- Rate limiting framework installed but not activated
- Rate limit too high, effectively no limit
- Limit applies globally instead of per-IP or per-user
- No storage of request counts (memory resets, limit doesn't persist)
How to Fix It
Implement rate limiting: library (spring-cloud-gateway, express-rate-limit) or custom middleware. Limit by IP: 100 requests per minute. Limit by user: 1000 per day. Store counts in Redis for persistence across restarts. Return 429 Too Many Requests when limit exceeded. Include Retry-After header indicating when to retry.
Real developers can help you.
Omar Faruk
As a Product Engineer at Klasio, I contributed to end-to-end product development, focusing on scalability, performance, and user experience.
My work spanned building and refining core features, developing dynamic website templates, integrating secure and reliable payment gateways, and optimizing the overall system architecture.
I played a key role in creating a scalable and maintainable platform to support educators and learners globally.
I'm enthusiastic about embracing new challenges and making meaningful contributions.
Simon A.
I'm a backend developer building APIs, emulators, and interactive game systems. Professionally, I've developed Java/Spring reporting solutions, managed relational and NoSQL databases, and implemented CI/CD workflows.
Matthew Butler
Systems Development Engineer @ Amazon Web Services
Anthony Akpan
Developer with 8 years of experience building softwares fro startups
Franck Plazanet
I am a Strategic Engineering Leader with over 8 years of experience building high-availability enterprise systems and scaling high-performing technical teams. My focus is on bridging the gap between complex technology and business growth.
Core Expertise:
🚀 Leadership: Managing and coaching teams of 15+ engineers, fostering a culture of accountability and continuous improvement.
🏗️ Architecture: Enterprise Core Systems, Multi-system Integration (ERP/API/ETL), and Core Database Structure.
☁️ Cloud & Scale: AWS Expert; architected systems handling 10B+ monthly requests and managing 100k+ SKUs.
📈 Business Impact: Aligning tech strategy with P&L goals to drive $70k+ in monthly recurring revenue.
I thrive on "out-of-the-box" thinking to solve complex technical bottlenecks and am always looking for ways to use automation to improve business productivity.
Bastien Labelle
Full stack dev w/ 20+ years of experience
Daniel Vázquez
Software Engineer with over 10 years of experience on Startups, Government, big tech industry & consulting.
Stanislav Prigodich
15+ years building iOS and web apps at startups and enterprise companies. I want to use that experience to help builders ship real products - when something breaks, I'm here to fix it.
Matthew Jordan
I've been working at a large software company named Kainos for 2 years, and mainly specialise in Platform Engineering. I regularly enjoy working on software products outside of work, and I'm a huge fan of game development using Unity. I personally enjoy Python & C# in my spare time, but I also specialise in multiple different platform-related technologies from my day job.
Meïr Ankri
Full-stack developer specializing in React / Next.js / Node.js with 6+ years of experience. I've worked across various sectors including automotive (Reezocar/Société Générale), healthcare (Medical Link SaaS), and e-commerce (Glasman). I build web apps end-to-end, from architecture to production, with a focus on scalability, performance, and code quality. I also mentor junior developers and contribute to technical decisions and code reviews.
You don't need to be technical. Just describe what's wrong and a verified developer will handle the rest.
Get HelpFrequently Asked Questions
What's a reasonable rate limit?
Public APIs: 100-1000 per hour per IP. Authenticated: 10000+ per hour per user. Adjust based on use cases.
How to implement with Redis?
Redis INCR + EXPIRE on keys like rate_limit:ip:192.168.1.1. Increment on each request, check if > limit.
Should rate limit reset?
Yes. Common: per minute, per hour, per day. Use EXPIRE in Redis: EXPIRE key 60 (expires after 60 seconds).