Caching Strategies

What problem does it solve?

Caching strategies reduce latency and database load by storing frequently accessed data closer to the application.

Core Features & Use Cases

• Cache-Aside (Lazy Loading): load from cache first, fallback to database, then populate cache.
• Write-Through / Write-Behind: ensure writes propagate to storage and cache consistently.
• Read-Through: automatic cache population on misses.
• CDN and ETag strategies for edge caching and content freshness. Use cases: API responses, product catalogs, session data, and page rendering.

Quick Start

Configure a Redis-backed cache, implement patterns across layers, and validate with simple scenarios.