Laravel Prometheus Laravel Package

Product Decisions This Supports

• Observability Roadmap: Accelerates adoption of SRE/DevOps best practices by integrating standardized metrics (e.g., HTTP request latency, queue processing, DB queries) into Prometheus/Grafana ecosystems. Aligns with initiatives to reduce MTTR and improve system reliability.
• Build vs. Buy: Buy—avoids reinventing Prometheus exporters for Laravel (e.g., custom middleware, queue listeners, or database monitoring). Reduces dev effort by ~80% compared to DIY solutions.
• Use Cases:
  • Performance Monitoring: Track API response times, error rates, and resource usage (CPU, memory) in real-time.
  • Incident Response: Correlate metrics (e.g., queue backlog + slow DB queries) to diagnose bottlenecks faster.
  • Scaling Decisions: Identify underutilized vs. overloaded services for auto-scaling (e.g., Kubernetes HPA).
  • Compliance/Reporting: Export metrics to audit logs or dashboards for SOX/GDPR requirements.
• Tech Stack Alignment: Enables unified monitoring across polyglot environments (PHP + Node.js + Go) using Prometheus as the backbone.
• Cost Efficiency: Free (MIT license) and lightweight (~1MB overhead), avoiding proprietary tools like Datadog or New Relic for basic metrics.

When to Consider This Package

• Adopt if:
  • Your team uses Laravel and needs standardized metrics for Prometheus (e.g., Grafana dashboards, alerting).
  • You’re migrating from custom logging or basic APM tools (e.g., Laravel Debugbar) to a scalable observability stack.
  • You require low-latency metric collection with minimal performance impact (<1% overhead).
  • Your org already uses Prometheus (or plans to) for infrastructure monitoring (e.g., Kubernetes, AWS).
• Look elsewhere if:
  • You need distributed tracing (use OpenTelemetry or Laravel Telescope).
  • Your app is serverless (e.g., AWS Lambda)—consider Prometheus Push Gateway or CloudWatch.
  • You require advanced APM features (e.g., flame graphs, SQL query analysis)—evaluate Laravel Scout + New Relic or Blackfire.
  • Your team lacks Prometheus/Grafana expertise—pair with a managed service (e.g., Grafana Cloud) or SRE hiring.
  • You’re using non-Laravel PHP frameworks (e.g., Symfony)—check symfony/prometheus-bundle.

How to Pitch It (Stakeholders)

For Executives:

"This package lets us instrument our Laravel apps with industry-standard metrics—like a ‘black box’ for our services—so we can proactively detect issues, optimize performance, and reduce downtime. It’s a low-cost, high-impact way to align with DevOps best practices, similar to how we use Prometheus for infrastructure. No vendor lock-in; we own the data, and it integrates seamlessly with our existing tools. ROI: Faster incident resolution, better scaling decisions, and compliance-ready dashboards—all for the cost of a few developer hours."

For Engineering:

*"spatie/laravel-prometheus gives us first-class Prometheus support out of the box:

• Automatic metrics: HTTP routes, queues, DB queries, cache hits/misses—no manual instrumentation.
• Extensible: Add custom metrics (e.g., business KPIs) via Laravel’s service container.
• Lightweight: Minimal overhead (~1% latency impact) and zero external dependencies.
• Future-proof: Works with Grafana, Alertmanager, or Thanos for long-term storage. Trade-off: We’ll need to set up Prometheus (but we can use docker-compose or managed Grafana Cloud). Alternatives? Only if we need tracing or non-PHP tools—but this covers 80% of our needs for <20% of the effort."*

For DevOps/SRE:

*"This fills a gap in our Laravel observability stack by:

1. Standardizing metrics (exposition format, labels, naming conventions) for consistency across teams.
2. Reducing alert noise by surfacing only actionable data (e.g., laravel_http_request_duration_seconds).
3. Enabling cross-service correlation (e.g., link API latency to queue depth or DB load). Next steps: We’ll need to:

• Deploy Prometheus + Grafana (or use a managed service).
• Define critical alerts (e.g., ‘P99 latency > 1s’).
• Document how to add custom metrics for non-HTTP workflows (e.g., cron jobs). Blockers? Only if we’re locked into a non-Prometheus monitoring tool."*