Dashboard and code-driven configuration for Laravel Redis queues.
Laravel Horizon is a dashboard and configuration tool for managing Laravel Redis queues. It provides real-time monitoring of job throughput, runtime, and failures, making queue management more transparent and efficient. All worker configuration is stored in a single file, allowing teams to collaborate through source control.
Laravel developers who use Redis queues and need better visibility and management of their queue systems.
Developers choose Horizon for its elegant dashboard that simplifies queue monitoring and its code-driven configuration approach that keeps settings version-controlled and collaborative.
Dashboard and code-driven configuration for Laravel queues.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Provides a beautiful, real-time dashboard for monitoring job throughput, runtime, and failures, as shown in the README with an example image, enhancing visibility without custom tooling.
Stores all worker settings in a single configuration file, enabling version control and team collaboration, which is emphasized in the introduction as a key feature for consistency.
Specifically designed for Laravel powered Redis queues, ensuring optimized performance and easy setup within the Laravel ecosystem, as highlighted in the key features.
Tracks key performance indicators like job throughput and runtime in real-time, making queue management transparent and efficient, as stated in the README's introduction.
Horizon only supports Redis queues, so it's incompatible with Laravel's other queue drivers like database or SQS, which can be a deal-breaker for mixed environments.
Tightly coupled with Laravel, meaning it cannot be used with other PHP frameworks or standalone applications, reducing flexibility for non-Laravel projects.
Requires additional configuration, Redis dependency, and separate processes, which might be overkill for simple queue needs and add complexity to deployment.