In this episode, we're diving into how to efficiently clear cached data using tags—super useful if you've got things like paginated blog posts or want different users to have their caches cleared only when necessary.
We start off by fixing a detail from the previous episode: our cache durations were actually in seconds, not minutes! Once that's cleared up, we discuss why manually clearing cache every time a new post is published is a pain, and how clearing everything all at once is usually not ideal.
To solve this, we introduce cache tags. You'll see how using a cache store that supports tags (like Redis) lets you clear specific groups of cached data without blowing away your whole cache. We set everything up to cache posts under a 'posts' tag, and switch our driver from file-based to Redis so we can actually use tags.
From there, we hook up an observer to the Post model, ensuring whenever a post is created or updated, all related cache entries get automatically flushed. This means your users always get to see new posts shortly after they go live, without you needing to manage the cache by hand. The episode walks you through creating and registering the observer, and also demonstrates the process of actually testing this out.
Finally, we round things off by reflecting on how this setup covers most usual use-cases for caching lists of data, and it's a neat way to keep things fast and fresh without overcomplicating your code or infrastructure.