cache-strategy-builder

What problem does it solve?

This Skill helps you implement effective caching strategies to drastically improve application performance, reduce database load, and speed up frequently accessed data or expensive computations.

Core Features & Use Cases

• Redis & In-Memory Caching: Implement caching solutions using Redis or simple in-memory LRU caches.
• TTL & Invalidation: Manage cache expiration with Time-To-Live (TTL) and implement strategies for cache invalidation upon data changes.
• Use Case: Implement a Redis cache-aside pattern in Python for a get_user(user_id) function, with a TTL of 10 minutes and a cache invalidation function for user updates, ensuring data consistency.

Quick Start

Implement a Redis cache-aside pattern in Python for a get_user(user_id) function, with a TTL of 10 minutes and a cache invalidation function for user updates.