What rate limiting algorithms are supported?

The skill provides implementations for Token Bucket, Leaky Bucket, and Sliding Window Log/Counter algorithms using Redis.

Which programming languages are compatible?

It includes templates and examples specifically for TypeScript/Node.js and Python, though the Redis logic can be adapted for any language.

How does it handle Redis configuration?

The skill includes shell scripts for initial Redis setup, connectivity testing, and validation of your configuration files.

Is this suitable for production API environments?

Yes, it follows security best practices, including the use of environment variables for credentials and optimized Redis commands for high-performance throttling.

Redis Rate Limiting Patterns

Name: Redis Rate Limiting Patterns
Author: vanman2024

byvanman2024

API 开发

Implements robust Redis-based rate limiting algorithms to protect APIs from abuse and manage request quotas efficiently.

关于

This skill provides production-ready implementations of essential rate-limiting algorithms including token bucket, leaky bucket, and sliding window patterns using Redis. It enables developers to quickly integrate API throttling and request quota management into backend services with pre-built templates for TypeScript, Python, FastAPI, and Next.js. By offering standardized scripts for Redis configuration, connectivity testing, and security-compliant code patterns, it streamlines the process of building scalable and resilient traffic management systems for modern web applications.

主要功能

Ready-to-use templates for TypeScript and Python integrations
Framework-specific examples for FastAPI and Next.js
Automated scripts for Redis setup and configuration validation
Security-focused code patterns using environment variables
0 GitHub stars
Support for Token Bucket, Leaky Bucket, and Sliding Window algorithms

使用场景

Protecting public REST APIs from brute-force attacks and volumetric abuse
Implementing distributed throttling across microservices using a central Redis store
Managing tiered request quotas for SaaS subscription models

关于

主要功能

Ready-to-use templates for TypeScript and Python integrations
Framework-specific examples for FastAPI and Next.js
Automated scripts for Redis setup and configuration validation
Security-focused code patterns using environment variables
0 GitHub stars
Support for Token Bucket, Leaky Bucket, and Sliding Window algorithms

使用场景

Protecting public REST APIs from brute-force attacks and volumetric abuse
Implementing distributed throttling across microservices using a central Redis store
Managing tiered request quotas for SaaS subscription models