caching-patterns

What problem does it solve?

This Skill addresses the performance bottlenecks in web applications by implementing various caching strategies to reduce latency and database load.

Core Features & Use Cases

• In-Memory Caching: Utilizes LRU and simple Map-based caches for fast, local data retrieval.
• Distributed Caching: Integrates with Redis (including Upstash for serverless) for shared, persistent caching.
• Cache Strategies: Implements Cache-Aside, Write-Through, Write-Behind, and Read-Through patterns.
• Invalidation: Provides mechanisms for Tag-Based and Event-Based cache invalidation.
• HTTP Caching: Demonstrates Next.js cache headers and unstable_cache for server-side caching.
• Rate Limiting: Includes examples of rate limiting using Redis.
• Monitoring: Offers patterns for instrumenting cache performance.

Quick Start

Implement a cache-aside pattern to fetch user data, falling back to the database and storing the result in Redis.