Technical Implementation Made Simple

This workflow leverages Redis's in-memory data store capabilities to implement efficient rate limiting:

1. User Identification: Uses API keys to uniquely identify each consumer
2. Request Tracking: Increments a Redis counter for each request from a specific API key
3. Threshold Enforcement: Checks if the request count exceeds predefined limits
4. Automated Response: Returns appropriate error messages when thresholds are reached
5. Key Management: Integrates with Airtable to maintain API key records and permissions

The solution provides a complete infrastructure for rate limiting without requiring extensive coding or deep technical knowledge of Redis implementations.