zeeshantariq/laravel-api-profiler

Production-grade performance observability for Laravel APIs - track database queries, external API calls, memory usage, and execution time with interactive dashboard

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pkg:composer/zeeshantariq/laravel-api-profiler

1.0.0 2026-01-11 09:43 UTC

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Last update: 2026-01-11 09:44:00 UTC


README

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Production‑grade performance observability for Laravel APIs

Laravel API Profiler helps you understand why your APIs are slow by tracking database queries, external API calls, memory usage, and execution time — all in one powerful dashboard.

✨ Features

  • ⏱️ Request & route performance
  • 🗄️ SQL query timing + N+1 detection
  • 🌐 External HTTP call tracking
  • 🧠 Bottleneck detection (DB, HTTP, Memory, App)
  • 📊 Interactive dashboard with charts
  • 🚨 Slow request & anomaly alerts
  • 🧭 Route based analytics

🧠 Why not Telescope?

Feature Telescope Laravel API Profiler
Production safe
N+1 detection
Bottleneck detection
API focused
Performance charts

🛠 Installation

composer require zeeshantariq/laravel-api-profiler
php artisan migrate

🔧 Usage

Basic Setup

Add the middleware to your API routes:

use ZeeshanTariq\LaravelApiProfiler\Middleware\ApiProfilerMiddleware;

Route::middleware(['api', ApiProfilerMiddleware::class])->group(function () {
    // Your API routes
});

Or use the middleware alias:

Route::middleware(['api', 'api-profiler'])->group(function () {
    // Your API routes
});

Access the Dashboard

Visit the dashboard at:

http://your-app.test/api-profiler/dashboard

Configuration

Publish the config file:

php artisan vendor:publish --tag=config --provider="ZeeshanTariq\LaravelApiProfiler\LaravelApiProfilerServiceProvider"

Available configuration options in config/api-profiler.php:

return [
    // Enable/disable the profiler
    'enabled' => env('API_PROFILER_ENABLED', true),
    
    // Slow request threshold in milliseconds
    'slow_request_threshold_ms' => 500,
    
    // High memory threshold in bytes (default: 128MB)
    'high_memory_bytes' => 128 * 1024 * 1024,
    
    // N+1 query detection threshold
    'n_plus_one_threshold' => 5,
    
    // Number of samples for baseline calculation
    'baseline_sample_size' => 50,
    
    // Middleware for dashboard routes
    'middleware' => ['web', 'auth'],
];

Environment Variables

Add to your .env file:

API_PROFILER_ENABLED=true

📊 Dashboard Features

Main Dashboard (/api-profiler/dashboard)

  • Overview Stats: Total requests, slow requests, active alerts
  • Request Breakdown Chart: Visual timeline showing DB, HTTP, Middleware, and Controller time
  • Route Performance Chart: Average duration per route over time

Requests Page (/api-profiler/requests)

  • List of all profiled requests
  • Search and filter functionality
  • Click any request to see detailed analysis

Request Detail Page

For each request, you can see:

  • Performance Metrics: Duration, memory usage, query count, HTTP calls
  • Bottleneck Detection: Identifies if the issue is Database, HTTP, Memory, or Application
  • N+1 Detection: Highlights repeated queries with suggestions
  • Timeline Tab: Visual breakdown of request execution
  • Queries Tab: All SQL queries with execution times
  • HTTP Calls Tab: External API calls with durations

Routes Page (/api-profiler/routes)

  • Performance metrics grouped by route
  • Average duration, slow request count, error count
  • Health status indicators

Alerts Page (/api-profiler/alerts)

  • Slow requests (>500ms by default)
  • High memory usage alerts
  • N+1 query detection alerts
  • Click to view detailed request analysis

🧪 Example

Calling:

GET /api/v1/clients/15/assets

The profiler will show:

  • Total Duration: 980ms
  • Database Time: 760ms (77% of total)
  • SQL Queries: 32 queries executed
  • N+1 Detected: Query executed 15+ times
  • Bottleneck: Database
  • Alert: Slow Request (>500ms)

This helps you identify that the issue is database-related and likely due to N+1 queries.

🔍 How It Works

Automatic Tracking

The profiler automatically tracks:

  1. Database Queries: Every SQL query with execution time
  2. HTTP Calls: External API requests via Laravel's HTTP client
  3. Memory Usage: Peak memory consumption per request
  4. Execution Time: Total request duration broken down by component

Bottleneck Detection

The profiler identifies the main performance bottleneck:

  • Database: If DB time > 200ms
  • External API: If HTTP time > 300ms
  • Memory: If memory usage > 128MB
  • Application: Otherwise

N+1 Query Detection

Automatically detects when the same query is executed multiple times (threshold: 5+ times), suggesting potential N+1 problems that can be solved with eager loading.

Performance impact

The profiler is designed to be lightweight:

  • Data is stored asynchronously
  • Minimal overhead on requests
  • Can be disabled in production if needed via config

📸 Screenshots

(Add screenshots of your dashboard here)

📝 Requirements

  • PHP >= 8.2
  • Laravel >= 11.0
  • MySQL/PostgreSQL/SQLite

🧭 Roadmap

  • Real‑time WebSocket dashboard
  • Slack & Email alerts
  • Per‑route baselines
  • Anomaly detection
  • Team dashboards
  • Export reports
  • API endpoints for programmatic access

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This package is open-sourced software licensed under the MIT license.

👤 Author

Zeeshan Tariq
Laravel Architect & AI Engineer

📄 License

MIT