Does it handle complex cache invalidation?

Yes, it provides specific implementation patterns for tag-based invalidation, event-based invalidation, and automatic cleanup of expired entries.

What cache providers are supported by this skill?

This skill includes templates for Redis (via ioredis), Upstash (Serverless Redis), LRU-cache for in-memory storage, and native HTTP caching for frameworks like Next.js.

Is this compatible with Next.js Server Components?

Absolutely. It includes patterns for Next.js 'unstable_cache', revalidation tags, and Cache-Control header management for optimal frontend performance.

Can I use these patterns for rate limiting?

Yes, the skill contains a dedicated implementation for Redis-based rate limiting using atomic increments and TTL-based window management.

Caching Patterns

Name: Caching Patterns
Author: JaveedIshaq

byJaveedIshaq

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API Development

Implements high-performance caching strategies including in-memory, distributed Redis, and HTTP caching to optimize application speed and scalability.

About

The Caching Patterns skill provides a comprehensive library of reusable implementation templates and best practices for managing data persistence and retrieval layers. It covers essential strategies like Cache-Aside, Write-Through, and Read-Through, alongside advanced techniques for tag-based invalidation and distributed rate limiting. By integrating these patterns, developers can significantly reduce database load, lower API latency, and handle traffic spikes more effectively using industry-standard tools like Redis, Upstash, and LRU-cache.

Key Features

Atomic Redis-based rate limiting patterns for API protection.
1 GitHub stars
Ready-to-use patterns for Cache-Aside, Write-Through, and Write-Behind workflows.
Advanced invalidation logic including tag-based and event-driven strategies.
Standardized templates for In-Memory (LRU) and distributed Redis caching implementations.
Integrated HTTP caching configurations for Next.js and CDN optimization.

Use Cases

Implementing stale-while-revalidate logic for public API responses and static assets.
Managing distributed sessions and user state across multiple server instances.
Optimizing heavy database queries in high-traffic e-commerce or analytics applications.

About

Key Features

Atomic Redis-based rate limiting patterns for API protection.
1 GitHub stars
Ready-to-use patterns for Cache-Aside, Write-Through, and Write-Behind workflows.
Advanced invalidation logic including tag-based and event-driven strategies.
Standardized templates for In-Memory (LRU) and distributed Redis caching implementations.
Integrated HTTP caching configurations for Next.js and CDN optimization.

Use Cases

Implementing stale-while-revalidate logic for public API responses and static assets.
Managing distributed sessions and user state across multiple server instances.
Optimizing heavy database queries in high-traffic e-commerce or analytics applications.