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AI-Driven Rate Limiting for Scalable and Cost-Efficient APIs

Conf42 via YouTube

Overview

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Explore AI-driven rate limiting techniques for building scalable and cost-efficient APIs in this comprehensive conference talk from Conf42 JS 2025. Learn why traditional static rate limiting approaches fall short in today's dynamic API landscape and discover how artificial intelligence can revolutionize API protection strategies. Understand the fundamental importance of rate limiting and examine the challenges that arise with conventional methods when dealing with modern threats like DDoS attacks. Dive deep into the process of implementing AI-powered rate limiting solutions, starting with data collection strategies for training machine learning models and progressing through feature engineering techniques that enable intelligent decision-making. Master the complete workflow from training AI models to deploying them in production environments, with practical insights into real-world implementation scenarios. Gain valuable knowledge about advanced strategies for optimizing API performance while maintaining robust security measures, and see concrete results from actual deployments that demonstrate the effectiveness of AI-driven approaches over traditional rate limiting methods.

Syllabus

00:00 Introduction and Welcome
00:21 The Importance of Rate Limiting
00:58 Challenges with Traditional Rate Limiting
01:44 The Need for Intelligent Rate Limiting
02:08 Understanding the Current API Landscape
02:42 Flaws in Static Rate Limiting
07:12 Modern Threats: DDoS Attacks
09:26 Introducing AI-Powered Rate Limiting
11:14 Data Collection for AI Models
17:40 Engineering Features for AI Models
24:13 Training the AI Model
29:04 Deploying the AI Model
34:35 Real-World Results and Advanced Strategies
38:16 Conclusion and Contact Information

Taught by

Conf42

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