API Rate Limit Adoption
A Pattern Collection
This comprehensive pattern collection explores prevailing patterns for Rate Limit adoption and their real-world applications. Rate limiting is a crucial aspect of API design that helps protect services from abuse, ensures fair usage, and maintains service quality for all users.
Our research examines various rate limiting strategies employed by major API providers, analyzing their effectiveness, implementation patterns, and impact on user experience. We present a systematic collection of patterns that can guide API developers in choosing appropriate rate limiting strategies for their specific use cases.
Pattern Categories
- Token Bucket Patterns: Classic rate limiting using token-based algorithms
- Sliding Window Patterns: Time-based restrictions with flexible windows
- Quota-based Patterns: Usage-based limitations with reset periods
- Adaptive Patterns: Dynamic rate limiting based on system load and user behavior
- Tiered Patterns: Different limits for different user categories
Research Paper
Complete pattern collection with detailed analysis and implementation guidelines.
Download PDFPattern Map
Visual representation of rate limiting patterns and their relationships.
View Pattern Map