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  [ home ](https://www.msaied.com)    [ articles ](https://www.msaied.com/articles)    LaraOwl: Self-Hosted Monitoring for Laravel Applications        On this page       1. [  What Is LaraOwl? ](#what-is-laraowl)
2. [  What the Client Captures ](#what-the-client-captures)
3. [  WAF Analysis and Cloudflare Integration ](#waf-analysis-and-cloudflare-integration)
4. [  Real-Time Dashboard and Alerts ](#real-time-dashboard-and-alerts)
5. [  Installation ](#installation)
6. [  Setting Up the Server ](#setting-up-the-server)
7. [  Installing the Client ](#installing-the-client)
8. [  Key Takeaways ](#key-takeaways)

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 [  Laravel ](https://www.msaied.com/articles?category=laravel) [  Open Source ](https://www.msaied.com/articles?category=open-source)  #Laravel   #Monitoring   #Open Source   #Self-Hosted   #Laravel Packages  

 LaraOwl: Self-Hosted Monitoring for Laravel Applications 
==========================================================

     15 Jun 2026      3 min read    ![Mohamed Said](https://cdn.msaied.com/01KT78WE565VEMM3PSNQAAB0MJ.jpg)  Mohamed Said  

       Table of contents

1. [  01   What Is LaraOwl?  ](#what-is-laraowl)
2. [  02   What the Client Captures  ](#what-the-client-captures)
3. [  03   WAF Analysis and Cloudflare Integration  ](#waf-analysis-and-cloudflare-integration)
4. [  04   Real-Time Dashboard and Alerts  ](#real-time-dashboard-and-alerts)
5. [  05   Installation  ](#installation)
6. [  06   Setting Up the Server  ](#setting-up-the-server)
7. [  07   Installing the Client  ](#installing-the-client)
8. [  08   Key Takeaways  ](#key-takeaways)

 What Is LaraOwl?
----------------

[LaraOwl](https://github.com/laraowl/laraowl) is an open-source, Apache 2.0-licensed monitoring platform that you deploy and run on your own infrastructure. Instead of routing application telemetry through a third-party service, you spin up a LaraOwl server, install a lightweight client package in each Laravel app you want to observe, and all data stays under your control.

It covers similar ground to Laravel Nightwatch — request, exception, query, and job monitoring — but the key distinction is ownership: LaraOwl is entirely self-hosted.

---

What the Client Captures
------------------------

After adding `laraowl/client` to a monitored application, LaraOwl records telemetry across several layers of the request lifecycle:

- **HTTP requests** — method, path, status code, duration, and response size
- **Exceptions** — grouped with stack traces and a resolvable status flag
- **Database queries** — slow query detection and N+1 query identification
- **Jobs and queue activity** — processing status, duration, and failures
- **Per-user activity** — individual request history per user

Telemetry is dispatched asynchronously through Laravel's queue system, keeping data capture off the critical request path.

---

WAF Analysis and Cloudflare Integration
---------------------------------------

Beyond performance data, LaraOwl inspects incoming traffic for common attack patterns. Its WAF analysis flags requests that resemble SQL injection, cross-site scripting, and path traversal attempts. It also integrates directly with the Cloudflare API, letting you manage firewall rules from the LaraOwl dashboard without switching between tools.

---

Real-Time Dashboard and Alerts
------------------------------

The dashboard updates live over WebSockets powered by [Laravel Reverb](https://reverb.laravel.com/). Charts reflect new requests, exceptions, and jobs as they arrive. When something needs attention, LaraOwl can notify you via:

- Slack
- Discord
- Telegram
- Email
- Custom webhook

It also supports uptime and heartbeat checks to verify that a service is responding.

---

Installation
------------

### Setting Up the Server

The LaraOwl server is itself a Laravel application. Bootstrap it with Composer, then build assets and run migrations:

```bash
composer create-project laraowl/laraowl laraowl
cd laraowl
npm install
cp .env.example .env
php artisan key:generate
php artisan migrate
npm run build

```

Because the dashboard relies on queued ingestion, scheduled tasks, and Reverb, you need three supporting processes running:

```bash
php artisan queue:work
php artisan reverb:start
php artisan schedule:work

```

### Installing the Client

In each application you want to monitor, require the client package and run its installer:

```bash
composer require laraowl/client
php artisan laraowl:install

```

**System requirements:** PHP 8.3+, Node.js 18+, and either MySQL 8.0+ or PostgreSQL.

---

Key Takeaways
-------------

- LaraOwl is fully self-hosted — your telemetry never leaves your infrastructure.
- It monitors HTTP requests, exceptions, slow/N+1 queries, jobs, and per-user activity.
- Built-in WAF analysis flags SQL injection, XSS, and path traversal attempts.
- Cloudflare firewall management is available directly from the dashboard.
- The real-time dashboard is powered by Laravel Reverb over WebSockets.
- Alerts are supported via Slack, Discord, Telegram, email, and webhooks.
- Licensed under Apache 2.0 and available on GitHub.

---

Source: [LaraOwl: Self-Hosted Monitoring for Laravel Applications — Laravel News](https://laravel-news.com/laraowl-self-hosted-monitoring-for-laravel-applications)

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 Frequently Asked Questions 
----------------------------

  3 questions  

     Q01  How is LaraOwl different from Laravel Nightwatch?        Both tools cover request, exception, query, and job monitoring for Laravel applications. The key difference is hosting: Laravel Nightwatch is a managed cloud service, while LaraOwl is entirely self-hosted on your own infrastructure, meaning your telemetry data never leaves your servers. 

      Q02  What are the minimum system requirements to run LaraOwl?        LaraOwl requires PHP 8.3 or higher, Node.js 18 or higher, and either MySQL 8.0+ or PostgreSQL as the database. The server also needs three persistent processes: a queue worker, Laravel Reverb for WebSockets, and the scheduler. 

      Q03  Does LaraOwl affect application performance when capturing telemetry?        No. The client package sends telemetry asynchronously through Laravel's queue system, so data capture happens off the critical request path and does not add latency to your application's responses. 

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   [  ![Mohamed Said](https://cdn.msaied.com/01KT78WE565VEMM3PSNQAAB0MH.png)   Mohamed Said Laravel Backend Engineer  ](https://www.msaied.com)Senior Backend Engineer specializing in Laravel, scalable SaaS platforms, APIs, and cloud infrastructure. I build secure, high-performance web applications that help businesses grow.

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