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Roadrunner Metrics Laravel Package

spiral/roadrunner-metrics

RoadRunner metrics integration for PHP apps. Exposes and exports runtime and application metrics from the RoadRunner server, enabling observability with common monitoring backends. Lightweight package for collecting counters, gauges, and histograms in production.

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Product Decisions This Supports

  • Enables rapid implementation of production-grade observability for RoadRunner-based applications, eliminating custom metric collection code and accelerating time-to-market for monitoring capabilities.
  • Validates a "buy" over "build" strategy by providing standardized, lightweight metrics (counters, gauges, histograms) tailored to RoadRunner’s architecture, reducing maintenance overhead and engineering effort.
  • Supports roadmap priorities around reliability engineering in microservice environments, ensuring consistent metric naming and structured data for proactive incident response and performance optimization.

When to Consider This Package

  • Adopt when: Using RoadRunner as the application server, operating microservices or long-running PHP processes requiring structured metrics, and integrating with observability stacks (e.g., Prometheus, Grafana) for real-time monitoring. Ideal for teams prioritizing minimal overhead and consistency in metric collection.
  • Look elsewhere when: Using non-RoadRunner PHP environments (e.g., PHP-FPM, Swoole), projects with trivial monitoring needs (e.g., small internal tools), or requiring advanced observability features like distributed tracing beyond basic metric types.

How to Pitch It (Stakeholders)

Executives: "This package delivers immediate, production-ready metrics for RoadRunner applications, enabling real-time visibility into system health and performance. By reducing downtime and accelerating issue resolution, it directly enhances customer satisfaction and operational efficiency with zero custom development costs."
Engineering: "Seamless integration with RoadRunner workers, zero-config metric registration, and consistent naming conventions eliminate manual implementation work. It ensures reliable, scalable observability without sacrificing performance—freeing your team to focus on core features, not monitoring infrastructure."

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