Optimizing Laravel's Eloquent relationships for SEO-driven data retrieval
I've spent hours debugging this and I'm performance testing and Currently developing a Laravel-based web application focused on SEO optimization... The application relies heavily on Eloquent relationships to fetch data that drives our SEO strategy. The challenge arises when trying to optimize these relationships for performance, especially when handling large datasets. I've implemented eager loading to reduce N+1 query problems, as shown below: ```php $articles = Article::with('comments', 'tags')->paginate(10); ``` However, the application still experiences slow response times, particularly when the `tags` relationship has many entries. I've also tried using `withCount` to fetch the count of related models upfront, yet the performance isn’t significantly improved: ```php $articles = Article::withCount('comments')->with('tags')->paginate(10); ``` In addition to that, I’ve considered leveraging caching strategies, but I’m not sure where to start. Should I cache the entire result set or just the relationships? Another aspect I’ve looked into is restructuring the database to have fewer relationships, but that poses its own challenges in terms of data integrity and normalization. What approaches or best practices can I adopt to enhance the performance of these Eloquent queries while ensuring that the data remains SEO-friendly? Any insights on balancing eager loading with caching or restructuring would be particularly helpful. I appreciate any insights! This is part of a larger microservice I'm building. Thanks for taking the time to read this!