02 · Laravel Web Applications
Laravel backends built for production scale.
Three hundred–plus Laravel projects in, the interesting problems are never the CRUD. They are queue backpressure, transaction boundaries, and what happens on the day traffic is ten times what anyone planned for.
The problem
It worked until it was used.
Most Laravel applications we are asked to fix were fine as prototypes. Then a job that took 200ms started taking nine seconds, a queue backed up behind one poisoned payload, and a report query started locking a table during business hours.
The usual cause is not bad code. It is architecture that assumed synchronous, single-tenant, low-volume behaviour, and never got revisited once the assumptions changed.
Rewrites are rarely the answer. Usually the fix is to move the right work into queues, put boundaries between modules, and make failure observable.
What we build
Backends, not just apps.
- Custom SaaS applications with admin dashboards and role-based access
- REST and GraphQL APIs designed for third-party and internal consumers
- Queue architecture on Horizon and Redis, with isolation between job classes
- Modular backend structure that keeps domains separable at production scale
- MySQL, PostgreSQL and Redis data layers with indexing and caching strategy
- Reporting layers that do not compete with transactional load
Architecture
A typical request path.
- 01edgeNginx and PHP-FPM, tuned for the real concurrency profile
- 02applicationLaravel 11 on PHP 8.3 — thin controllers, domain logic in services
- 03dispatchAnything slow or third-party goes to a queue, not the request cycle
- 04workersHorizon supervises per-queue workers so one backlog cannot starve another
- 05dataMySQL or PostgreSQL for state, Redis for cache and locks
- 06observeFailed jobs, slow queries and queue depth are visible before users notice
Stack
- Laravel 11
- PHP 8.3
- Horizon
- Redis
- MySQL
- PostgreSQL
- REST
- GraphQL
- Blade
- Node.js
Questions
Asked most often.
Will you work on an existing codebase?
Yes. Most engagements begin with an audit of a system that already exists and already has users, and proceed by extending it rather than restarting.
Monolith or microservices?
A well-structured modular application, in almost every case. Services get extracted when a specific boundary earns it — different scaling profile, different language, different team — not as a starting position.
Do you write tests?
Yes, weighted toward the parts where failure is expensive: money, queues, integrations. We do not chase a coverage number.
What about the frontend?
Blade where server-rendered is right, React or Next.js where the interface genuinely needs it. Server-rendered by default, because it is faster and more crawlable.
Next step