Production Laravel architecture: queues, caching, search, observability, testing and the patterns that keep PHP applications fast and maintainable.
Showing 6 of 11 articles
The N+1 query problem is the most common cause of slow Laravel pages. Learn how to spot it, fix it with eager loading, and stop it coming back with tests and guards.
A practical Laravel slow queries fix: how to find the queries that hurt, read what MySQL says about them, and fix the five most common causes with before-and-after proof.
Shipping behind an if statement isn't a rollout strategy. Here's how flags become an actual release mechanism instead of permanent code debt.
A stack trace tells you what broke. It doesn't tell you which tenant, which request, or whether it's still happening right now.
A cache with no invalidation story isn't a performance win. It's stale data waiting to embarrass you in front of a customer.
WHERE title LIKE '%term%' works until customers expect search that's fast, relevant, and never leaks another tenant's records.
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These articles come from building and maintaining Laravel applications in production: SaaS platforms, logistics systems and data-heavy products that have to keep working as they grow.
The focus is on the decisions that matter after the tutorial ends: how to structure queues so jobs never silently fail, where caching helps and where it causes bugs, how to add search and observability without slowing the app down, and how to test the parts that handle money and data.
If you're planning a Laravel project or need help with an existing one, see my Laravel & PHP development service. For slow queries and scaling problems, database optimization is the better fit. You can also book a free 30-minute call to talk it through.