What caching providers are supported by this skill?

The skill includes implementation patterns for local in-memory (LRU), standard Redis (ioredis), and serverless Redis via Upstash.

Can I use these patterns in a serverless environment?

Absolutely. It specifically includes configurations for Upstash and Next.js server actions which are ideal for serverless deployments.

Does it include frontend caching patterns?

Yes, it provides implementation guides for React Query (TanStack Query) and HTTP-level caching headers.

How does this skill handle cache invalidation?

It provides code templates for tag-based invalidation, event-based invalidation, and Next.js-specific revalidation techniques.

Advanced Caching Patterns

Name: Advanced Caching Patterns
Author: antoineschaller

byantoineschaller

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API 개발

Implements optimized caching strategies for web applications using Redis, in-memory, and HTTP patterns to enhance performance and scalability.

소개

This skill provides a comprehensive collection of production-ready caching implementations for modern web architectures. It includes patterns for in-memory LRU caches, distributed Redis and Upstash setups, and advanced cache invalidation techniques like tag-based and event-driven systems. Designed for developers using Node.js, Next.js, and Express, it offers standardized boilerplate for Cache-Aside, Write-Through, and Read-Through strategies, ensuring applications reduce database load and minimize API latency effectively.

주요 기능

Scalable Redis client configurations for both traditional and serverless (Upstash) environments
1 GitHub stars
Pre-built patterns for Cache-Aside, Write-Through, and Write-Behind strategies
Advanced invalidation logic including tag-based and event-based systems
Multi-tier caching including In-memory (LRU), Redis, and HTTP
Framework-specific implementations for Next.js (unstable_cache) and React Query

사용 사례

Managing high-speed user session data and rate limiting in distributed systems
Reducing database load for high-traffic e-commerce product catalogs
Optimizing API response times through intelligent stale-while-revalidate headers

소개

주요 기능

Scalable Redis client configurations for both traditional and serverless (Upstash) environments
1 GitHub stars
Pre-built patterns for Cache-Aside, Write-Through, and Write-Behind strategies
Advanced invalidation logic including tag-based and event-based systems
Multi-tier caching including In-memory (LRU), Redis, and HTTP
Framework-specific implementations for Next.js (unstable_cache) and React Query

사용 사례

Managing high-speed user session data and rate limiting in distributed systems
Reducing database load for high-traffic e-commerce product catalogs
Optimizing API response times through intelligent stale-while-revalidate headers