caching

To implement cache-aside and write-through patterns in NestJS, use a Redis-based CacheService with generic get, set, and delete methods alongside the built-in NestJS cache module and decorators. This approach applies consistent key naming conventions and TTL management to reduce database load effectively.

The best way to prevent cache stampedes in a Node.js backend is by applying advanced caching techniques within your Redis CacheService. This Skill provides mechanisms for cache-stampede prevention and tag-based invalidation to ensure reliable performance under high concurrency.

You can configure HTTP cache headers and ETag support for API responses by integrating caching strategies directly into your Node.js service. This Skill guides the configuration of HTTP cache headers to optimize API response delivery and reduce latency.

Yes, this caching approach supports pattern-based cache invalidation with Redis. The CacheService includes generic delete and pattern-based invalidation methods, allowing you to efficiently clear specific keys or groups of cached data using tags and consistent naming conventions.

You should use write-behind caching instead of cache-aside when you need to asynchronously write data to the database after updating the cache, reducing write latency. Cache-aside is better suited for read-heavy workloads where data is loaded into the cache only when requested.