Server provisioning, deployment pipelines, infrastructure as code, and the operational decisions that determine whether your Laravel application stays up when it matters. Written for developers who own their infrastructure or need to understand it well enough to direct someone who does.
The gap between a working application and a reliable one is almost always here.
These articles treat infrastructure with the same discipline the rest of the site applies to application code — versioned, reviewed, and production-hardened.
Running LLM API calls through PHP-FPM means one tied-up worker per open connection. At any meaningful scale, worker exhaustion, not CPU or memory, becomes your ceiling. This breakdown covers real benchmark numbers, Swoole-specific trade-offs, and exactly what breaks when you migrate.
Laravel Octane vs PHP-FPM for AI Workloads: What the Benchmarks Actually Show Read More »
Standard Horizon defaults will quietly fail your AI inference jobs. LLM calls are slow, rate-limited, and unpredictably billed, none of which the default 60-second timeout was designed to handle. This guide covers the specific supervisor configuration, retry strategies, and monitoring thresholds that make AI queue workloads reliable in production Laravel applications.
Laravel Horizon in Production: Configuring AI Queue Workloads That Actually Hold Read More »
Most Laravel teams get the first deployment working and then leave the rest manual. This guide builds a complete GitHub Actions CI/CD pipeline that deploys Laravel without downtime, using a symlink-based release strategy, automated database migrations, queue worker restarts via php artisan reload, and automatic rollback when health checks fail. No Envoyer subscription required.
In this article, we will move beyond surface-level definitions and examine how IaC actually behaves in real environments, why many implementations fail under pressure, and what architectural decisions separate sustainable setups from fragile ones.
Infrastructure as Code for Laravel Teams: Building Reliable Systems Without Scaling Risk Read More »
