Laravel Octane Performance Swoole vs RoadRunner – In‑Depth Analysis and Practical Guide

Laravel Octane is an extension that allows you to run a Laravel application on asynchronous servers, eliminating the cost of bootstrapping the framework on every request. The two most popular modes – Swoole and RoadRunner – differ in architecture, environment requirements, and performance characteristics. In this article we will conduct a comparison of Laravel Octane Swoole and RoadRunner, provide concrete configuration examples, and discuss pitfalls when using Swoole with Laravel and Laravel Octane memory optimization.

Architecture Swoole vs RoadRunner

Swoole is a PHP extension written in C that runs its own event‑loop and manages TCP/HTTP connections at the operating‑system level. It operates as a multithreaded server where each worker has its own PHP‑FPM‑like process but retains memory between requests. RoadRunner, on the other hand, is a Go‑based proxy. It receives HTTP requests, forwards them to a PHP process (worker), returns the result, and then keeps the worker in memory, ready for subsequent calls.

The key difference is that Swoole handles both the networking layer and PHP code execution, enabling coroutine support and low I/O latency. RoadRunner delegates networking to Go, resulting in fewer dependencies in the PHP environment but adding an extra inter‑process communication layer.

Why Choose Octane?

Traditional PHP‑FPM creates a new application instance for each request. This generates a significant overhead – loading files, registering services, compiling containers. Octane eliminates this cost by keeping the application in memory, which in practice translates to a 2‑3‑fold reduction in response time under typical API loads.

However, these benefits come with new challenges: memory is not released after each request, and some Laravel components (e.g., file‑based sessions) are not designed out‑of‑the‑box for long‑living processes. Therefore it is crucial to understand the performance and architectural trade‑offs before deployment.

Practical Configuration – Swoole

composer require laravel/octane
php artisan octane:install --server=swoole

# .env file
OCTANE_SERVER=swoole
OCTANE_WORKERS=8
OCTANE_MAX_REQUESTS=500
OCTANE_MAX_EXECUTION_TIME=30

After installation the most important parameters are OCTANE_WORKERS – the number of worker processes, and OCTANE_MAX_REQUESTS, which define after how many requests a worker will be restarted to free used memory. For applications with intensive in‑memory caching, it is advisable to set a lower value to avoid leaks.

Practical Configuration – RoadRunner

# composer require spiral/roadrunner laravel/octane
php artisan octane:install --server=roadrunner

# .rr.yaml file
rpc:
  listen: tcp://127.0.0.1:6001
http:
  address: 0.0.0.0:8080
  workers:
    command: "php worker.php"
    relay: "pipes"
    pool:
      numWorkers: 8
      maxJobs: 500

RoadRunner requires a separate configuration file .rr.yaml. The numWorkers parameter corresponds to the number of PHP processes, and maxJobs serves the same purpose as OCTANE_MAX_REQUESTS in Swoole. Additionally, RoadRunner provides built‑in support for static files and gzip, which can offload work from the application.

When to Use Swoole and When to Use RoadRunner?

• Swoole – ideal when you need low I/O latency, WebSocket support, and coroutines. It shines in microservices, real‑time APIs, and high‑throughput applications.
• RoadRunner – a better choice when you want to minimize system dependencies (no Swoole extension), already have a Go infrastructure, or need a simple Docker‑friendly deployment.

Both solutions work great in Kubernetes environments, but Swoole requires an additional step to install the extension (pecl install swoole) in the container image, which can lengthen CI/CD pipelines.

Pitfalls When Using Swoole with Laravel

Common issues include:

• Improper database connection management – connections are not automatically closed after a request, leading to pool exhaustion. Fix: register an Octane::terminating listener in AppProvidersAppServiceProvider::boot() and call DB::disconnect().
• In‑memory cache (the array driver) is not shared between workers, which can cause inconsistencies. Use redis or memcached instead.
• Static global variables and singletons are not reset after worker restarts, potentially leaving stale data in memory.

Solutions include precise state clearing in the Octane::restarting hook and limiting the use of static properties.

Laravel Octane Memory Optimization

Key techniques:

• Set OCTANE_MAX_REQUESTS to a value of 300‑500 to regularly refresh worker memory.
• Enable opcache.preload in php.ini to speed up class loading when workers start.
• Use php artisan config:cache and route:cache – Octane works with already cached files, reducing CPU usage.

Monitor memory consumption with top or htop and tools like Octane::stats(), which return information about the number of active workers and memory usage.

“Performance is not just numbers – it’s the ability to maintain stability under increasing load.”

Checklist – Deploying Laravel Octane in Production

# 1. Server choice
#    - Swoole: requires extension, better I/O
#    - RoadRunner: no extensions, simpler Docker

# 2. Environment configuration
OCTANE_SERVER=swoole   # or roadrunner
OCTANE_WORKERS=8
OCTANE_MAX_REQUESTS=400
OCTANE_MAX_EXECUTION_TIME=30

# 3. Safe DB connections
use Laravel\Octane\Facades\Octane;
Octane::terminating(function () {
    DB::disconnect();
});

# 4. Cache and sessions
CACHE_DRIVER=redis
SESSION_DRIVER=redis

# 5. Optimizations
php artisan config:cache
php artisan route:cache
php artisan view:cache

# 6. Monitoring
php artisan octane:stats --watch

After applying the above checklist, the application should run stably under a high RPS rate. Remember to regularly test max_requests in a staging environment, as production data differences can affect memory consumption.

Common Mistakes and Trade‑offs

Deploying Octane often leads to a false sense that “performance is already maxed out”. In reality:

• Using session: file causes file locks in long‑running workers – switch to Redis.
• Heavy events in boot() may be triggered on every request when they shouldn’t be – move them to Octane::booting or Octane::reloading.
• Not all packages are compatible with long‑running processes (e.g., some SOAP libraries). Test them in isolation.

Trade‑offs include increased memory usage (each worker holds a full Laravel container) in exchange for lower response times. In memory‑constrained environments, fewer workers and more frequent restarts may be preferable.

In summary, the choice between Swoole and RoadRunner depends on your project’s specifics – real‑time needs, resource availability, and operational preferences. Both solutions significantly boost Laravel Octane performance, provided they are properly configured and production pitfalls are understood.

If you need assistance migrating to Octane, optimizing memory, or building a scalable architecture, get in touch with the Coderia.it team – together we’ll accelerate your code.