Best practices and real-world tips for backend-heavy fullstack developers using Laravel and PostgreSQL.
In today's digital ecosystem, users expect fast, responsive, and reliable applications. Whether you're building a SaaS product or an internal dashboard, scalability is no longer optional — it's a requirement.
Laravel, combined with PostgreSQL, offers a powerful and flexible stack for developers who prioritize maintainability without sacrificing performance.
Laravel’s expressive syntax and robust ecosystem (queues, caching, event broadcasting) make it ideal for large-scale backend systems. Here are a few practices I follow in production:
Laravel Horizon
.cache()
or remember()
functions to reduce repeated database hits.with()
and load()
wisely.PostgreSQL brings power, reliability, and features perfect for data-heavy applications:
Here's a high-level view of how I structure backend-heavy applications:
Client
↓
Nuxt/Vue Frontend
↓
Laravel API (Octane + Redis + Horizon)
↓
PostgreSQL + S3 + 3rd-party APIs
I recently built an internal platform for a financial client handling thousands of requests daily. Using a combination of Laravel Octane, Redis cache tags, and database read replicas, we reduced API response time from ~800ms to ~120ms.
Choosing Laravel and PostgreSQL isn't about trends — it's about developer productivity and long-term sustainability. With the right patterns and tooling, you can serve both startups and enterprises with confidence.
Are you using Laravel + PostgreSQL in production? Let me know what patterns work for you!
Written by
Hendri Triwanto