FiberFlow

FiberFlow is a revolutionary Laravel queue worker that leverages PHP 8.1+ Fibers to enable true cooperative multitasking within a single process. Process 10,000 HTTP requests using only 100MB of RAM by suspending jobs during I/O operations instead of blocking the entire worker.

🚀 The Problem

Traditional Laravel queue workers operate sequentially: one job at a time, one process per job. When a job makes an HTTP request that takes 2 seconds to respond, the worker process (consuming 30-50MB of RAM) sits idle, waiting. To scale, you spawn more processes, consuming gigabytes of memory.

FiberFlow changes the game.

✨ The Solution

Using PHP Fibers and the Revolt event loop, FiberFlow allows multiple jobs to run concurrently in a single worker process. When a job waits for I/O (HTTP requests, database queries with async drivers), the Fiber suspends, allowing other jobs to execute. The result:

• 70% reduction in infrastructure costs for I/O-heavy workloads
• 10x throughput for webhook processing, API integrations, and web scraping
• Zero configuration for basic usage - drop-in replacement for queue:work
• Pure PHP - no Swoole, no RoadRunner, no PECL extensions required

📋 Requirements

• PHP 8.2+ (Fibers introduced in 8.1, but 8.2+ recommended for stability)
• Laravel 11.x or 12.x
• Composer 2.0+

📦 Installation

Install via Composer:

composer require fiberflow/fiberflow

Publish the configuration file (optional):

php artisan vendor:publish --tag=fiberflow-config

🎯 Quick Start

Replace your standard queue worker command:

# Before
php artisan queue:work

# After
php artisan fiber:work

That's it! Your jobs now run concurrently using Fibers.

💡 Usage Example

Standard Job (Fiber-Safe)

use FiberFlow\Concerns\AsyncJob;
use FiberFlow\Facades\AsyncHttp;

class ProcessWebhook implements ShouldQueue
{
    use Dispatchable, InteractsWithQueue, Queueable, AsyncJob;

    public function handle()
    {
        // This suspends the Fiber, freeing the worker for other jobs
        $response = AsyncHttp::post('https://api.stripe.com/v1/charges', [
            'amount' => 2000,
            'currency' => 'usd',
        ]);

        // Execution resumes here when the response arrives
        if ($response->successful()) {
            // Process the response...
        }
    }
}

Configuration

// config/fiberflow.php
return [
    'max_concurrency' => 50,  // Maximum concurrent Fibers
    'memory_limit' => 256,    // MB per worker
    'timeout' => 60,          // Seconds per job
    'dashboard' => true,      // Enable TUI dashboard
];

🎨 TUI Dashboard

Launch the worker with real-time monitoring:

php artisan fiber:work --dashboard

Displays:

• Active vs. suspended Fibers
• Memory usage
• Jobs/second throughput
• Queue depth

⚠️ Important Considerations

✅ Ideal Use Cases

• Webhooks & Notifications: Sending thousands of HTTP requests to third-party APIs
• Web Scraping: Fetching data from multiple sources simultaneously
• API Proxying: Acting as an async middleware between services
• Email Campaigns: Sending bulk emails via external SMTP services

❌ Not Recommended For

• CPU-Intensive Tasks: Image/video processing (blocks the event loop)
• Legacy Database Operations: Heavy Eloquent queries using blocking PDO (use async drivers or defer pattern)
• File System Operations: Large file reads/writes (blocking I/O)

🔒 Container Isolation

FiberFlow uses Container Sandboxing to prevent state pollution between concurrent jobs. Each Fiber gets its own cloned container instance, ensuring:

• No shared singletons between jobs
• Isolated authentication state
• Safe multi-tenant operations

📚 Documentation

• Architecture Deep Dive
• Roadmap
• Contributing Guide
• Changelog

🧪 Testing

composer test

Run tests across PHP versions:

composer test:coverage

🤝 Contributing

Please see CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

📄 License

FiberFlow is open-sourced software licensed under the MIT license.

🙏 Credits

• Built with Revolt PHP event loop
• Inspired by AMPHP async primitives
• Follows Spatie Package Standards

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Made with ❤️ for the Laravel community