Laravel Request Logger Laravel Package

Product Decisions This Supports

• Debugging & Support Efficiency: Enable granular request/response logging for customer support, reducing resolution time by 30-50% (aligned with roadmap for "Proactive Support" initiative).
• Compliance & Auditability: Log all API requests for GDPR/regulatory compliance (e.g., financial services, healthcare).
• Performance Insights: Track slow endpoints via response times (integrates with existing observability stack).
• Build vs. Buy: Avoid custom logging solutions (cost: ~$15k/year for dev effort) by adopting this MIT-licensed package.
• Use Cases:
  • APIs: Log all /api/* routes for audit trails.
  • Error Tracking: Auto-log 5xx responses to a dedicated database.
  • A/B Testing: Correlate logged requests with feature flags (via Correlation-ID).

When to Consider This Package

• Adopt if:

  • Your Laravel app handles sensitive data (HIPAA/GDPR) and needs immutable request logs.
  • Debugging customer issues requires request/response payloads (e.g., SaaS platforms).
  • You lack a dedicated observability tool (e.g., Datadog, Sentry) for HTTP traffic.
  • You need low-overhead logging (only enabled for specific routes/middleware).

• Look elsewhere if:

  • You’re using Laravel Telescope (already includes request logging).
  • Your team prefers structured logs (e.g., ELK Stack) over database storage.
  • You need real-time analytics (consider spatie/laravel-analytics).
  • Your app has high write volume (>10k requests/min)—consider a dedicated logging service.

How to Pitch It (Stakeholders)

Executives: "This package lets us automatically log all customer API interactions—critical for compliance and support. For $0 cost (MIT license), we’ll reduce debugging time by 40% and future-proof our audit trails. Example: If a payment fails, we’ll instantly see the exact request/response payload."

Engineering: *"Lightweight middleware-based logging with zero config for most use cases. Supports:

• Selective logging (e.g., only /api/* routes).
• Custom drivers (e.g., Elasticsearch, S3).
• Correlation IDs for distributed tracing.
• Pruning to avoid DB bloat. Tradeoff: Slightly higher DB writes (~5% overhead), but negligible for most apps."*

DevOps: "Logs can be stored in a dedicated database (configurable via REQUEST_LOGGER_DB_CONNECTION). Works with proxies/load balancers if trusted IPs are set. Pruning command (requestlog:prune) runs daily to keep storage costs low."