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High-traffic Laravel architecture: Octane, queues, cache layers and replicas

We took a Laravel API from 300 to 4,000 requests per second without rewriting it. The wins came from four layers: Octane workers, a layered cache, Horizon queues with separate supervisors, and read replicas with sticky writes. Here is the setup and the traps.

John Nguyen @devbugs · October 03, 2026 · 9 min read · 140 Views

Banner: layered Laravel architecture with app workers, cache tier, queue workers and database replicas

Our marketplace API ran on a fairly standard Laravel stack: PHP-FPM behind Nginx, one MySQL primary, Redis for cache and sessions. It was comfortable at around 300 requests per second. A partner integration was going to push sustained traffic past 3,000 requests per second with spikes above that, and the budget did not allow for "rewrite it in something else". We got there in about six weeks by changing the shape of the deployment, not the framework. This post walks through the four la...

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#laravel #php #mysql #redis #octane #horizon

Written by

John Nguyen @devbugs

I am a Senior Software Engineer with over a decade of hands-on experience building, scaling, and maintaining complex systems across the full stack—spanning frontend, backend, and DevOps. Over the last 10 years, I have navigated diverse architectures and untangled some of the most frustrating, elusive bugs in production. I believe that every production incident is a massive learning opportunity. Having discovered hibug.me, I am excited to contribute to this knowledge base, breaking down root causes, and sharing verified fixes to help fellow developers debug faster and build more resilient systems.

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