Does this skill support asynchronous Redis operations?

Yes, it is built using redis.asyncio to ensure all cache operations are non-blocking and fully compatible with FastAPI's asynchronous event loop.

How can I invalidate specific cache keys using this skill?

The skill provides utility methods for deleting specific keys by name as well as 'delete_pattern' functionality to invalidate multiple keys matching a specific prefix or wildcard.

Can I cache entire API responses automatically?

Yes, the skill includes a ResponseCacheMiddleware that can be configured to automatically cache successful GET responses for a specified duration.

Is the cache decorator customizable for different arguments?

Absolutely. The @cached decorator supports custom key_builder functions, allowing you to create unique cache keys based on specific function arguments or request parameters.

FastAPI Caching with Redis

Name: FastAPI Caching with Redis
Author: Lobbi-Docs

byLobbi-Docs

Desarrollo de API

Implements production-ready Redis caching patterns and middleware to optimize FastAPI application performance.

Acerca de

This skill provides a comprehensive suite of Redis-based caching strategies designed specifically for FastAPI backends. It includes asynchronous connection management, customizable cache decorators for service methods, and automated response caching middleware. By leveraging these patterns, developers can implement sophisticated cache-aside, write-through, and invalidation logic to significantly reduce API latency and database load while maintaining data consistency across distributed systems.

Características Principales

Flexible @cached decorators for individual functions with custom key-building logic
Standardized implementations for Cache-Aside and Write-Through data patterns
Asynchronous Redis client integration with connection pooling and lifespan management
0 GitHub stars
Global response caching middleware with configurable TTL and X-Cache headers
Pattern-based cache invalidation for bulk updates and data consistency

Casos de Uso

Implementing distributed state management across multiple FastAPI worker instances
Managing complex cache invalidation workflows during database write operations
Reducing response times for high-traffic GET endpoints and heavy database queries

Acerca de

Características Principales

Flexible @cached decorators for individual functions with custom key-building logic
Standardized implementations for Cache-Aside and Write-Through data patterns
Asynchronous Redis client integration with connection pooling and lifespan management
0 GitHub stars
Global response caching middleware with configurable TTL and X-Cache headers
Pattern-based cache invalidation for bulk updates and data consistency

Casos de Uso

Implementing distributed state management across multiple FastAPI worker instances
Managing complex cache invalidation workflows during database write operations
Reducing response times for high-traffic GET endpoints and heavy database queries