There is a huge gap between learning Laravel by following a tutorial and maintaining a Laravel application in production with thousands of simultaneous users. In this article I share the most important lessons I have learned working as a backend developer at Euroinnova and EDUCA EDTECH, two of the largest Spanish-language online training platforms.
This is not an introduction to Laravel. It is an article about real technical credibility, with concrete examples and my own mistakes.
Context: what kinds of systems I worked on
At Euroinnova and EDUCA EDTECH I worked with Laravel applications that managed catalogues of thousands of courses, enrolment processes, certificate generation, payment platform integration and academic management systems. Traffic was constant, production errors had real impact on students and response time mattered.
That context forces you to make technical decisions you would never consider in a side project.
Eloquent vs Query Builder: when to use each
Eloquent ORM is Laravel's jewel: it lets you write expressive queries, relate models elegantly and keep the code readable. But it has a cost: every instantiated model is a PHP object with memory and construction time overhead.
Use Eloquent when:
- You need to work with relationships (belongsTo, hasMany, belongsToMany).
- You are going to mutate the model (create, update, delete) and want observers and events to fire.
- The volume of records is manageable (hundreds, not tens of thousands).
Use Query Builder when:
- You need to read large volumes of data for processing or export.
- The query does not require model logic (it is just data).
- Performance is critical and every millisecond counts.
The N+1 problem: the most expensive mistake I made
The N+1 problem occurs when you load a collection of models and then access a relationship on each of them in a loop, firing an additional query for each element.
Example of the mistake
Imagine you load 500 enrolments and then access $enrolment->student->name in the template. Laravel runs 1 query for the enrolments + 500 additional queries for the students. In production, this turns a page that should load in 200ms into one that takes 4 seconds.
The solution is eager loading: Enrolment::with('student')->get() loads enrolments and students with 2 queries instead of 501.
I discovered this problem because a report generation process that took 45 seconds dropped to 2 seconds simply by adding with() in the right places. Laravel Debugbar or Telescope are essential tools for detecting it.
Migrations: why you never edit them, only create new ones
A migration is an immutable record of the history of changes to your database. Editing it after running it in production is like editing the commit history of git: you break consistency between environments and cannot reliably reproduce the state of the database.
The rule is simple: if you need to change a column, add an index or modify a constraint, create a new migration that makes that change. Never edit an existing migration if it has already run in production or in the team's shared repository.
Jobs and queues: delegating heavy work
Some processes should not block the HTTP response to the user. In online training environments there are many examples: sending an enrolment confirmation email, generating a PDF certificate, syncing data with an external CRM, processing a payment.
Laravel has a queue system and background jobs that solve this elegantly. The user gets an immediate response and the heavy work runs in the background, without affecting the server response time.
In production we used Redis as the queue driver and Supervisor to keep workers running. Failure handling (retries, error notifications) is part of the system design from the very beginning.
Testing with PHPUnit: what I learned the hard way
Before working in real production environments, testing seemed optional to me. Once you see a production change break something that was working and have to roll back at 2am, you become a believer in testing.
In Laravel, testing with PHPUnit is integrated from the start. The most valuable things I learned:
- Integration tests before unit tests: in business applications, testing that an HTTP endpoint returns the correct response and that the database ends up in the expected state is more useful than testing individual methods in isolation.
- Factories and seeders for test data: the ability to generate realistic fake data for tests is one of the best features of the Laravel ecosystem.
- RefreshDatabase: the trait that cleans the database between tests is essential for tests to be predictable and independent from each other.
Error handling: try-catch is not enough
Wrapping code in try-catch is the minimum. In production you need more:
- Structured logging: using Laravel's log channels to record errors with enough context to reproduce them (user, input data, stack trace).
- Sentry or Bugsnag: error monitoring tools that send real-time notifications when something fails and aggregate repeated errors for prioritisation.
- Custom handlers: in
app/Exceptions/Handler.phpyou can define how the application behaves with different types of errors, preventing users from seeing generic error pages or, worse, PHP stack traces.
Why Laravel is still the best option for SMEs in 2025
With the proliferation of JavaScript frameworks and modern development tools, some question whether PHP and Laravel are still relevant. My answer: absolutely yes, especially for SME and business projects.
Laravel has a mature ecosystem, excellent documentation, an active community and tools like Forge, Vapor and Envoyer that simplify production deployment. For an SME that needs a robust, maintainable application with a developer you can easily find in the market, Laravel is the sanest choice in 2025.
Frequently asked questions about Laravel in production
When is it better to use Eloquent and when should you use Query Builder in Laravel?
Eloquent is the right choice when you are working with relationships between models (belongsTo, hasMany), when you need model observers and events to fire when mutating data, or when the volume of records is manageable. Query Builder is better when you need to read large volumes of data for processing or export, when the query requires no model logic and when performance is critical. The most common mistake is defaulting to Eloquent for bulk operations that could produce N+1 queries or needlessly instantiate thousands of PHP objects.
What is the N+1 problem in Laravel and how does it affect performance?
The N+1 problem occurs when you load a collection of models and then access a relationship on each one inside a loop, generating an additional query per item. With 100 posts and their authors, without eager loading you get 101 queries instead of 2. In production applications with thousands of users, this error can multiply response time by 50 and saturate the database. The solution is to use eager loading: Post::with('author')->get() instead of Post::all() followed by $post->author in the loop.
Why is Laravel still a good choice for production projects in 2025?
Laravel combines maturity (over 12 years of active development) with a complete ecosystem: Eloquent for the database, queues for heavy jobs, Sanctum and Passport for authenticated APIs, Telescope for production debugging, and Vapor for serverless deployment. For SMEs and mid-size projects, it offers the best balance between development speed, performance and long-term maintainability. Available talent is plentiful, the documentation is excellent and the community solves most problems before you encounter them.
