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Api Laravel Package

open-telemetry/api

OpenTelemetry PHP API package: vendor-neutral interfaces and context propagation for traces, metrics, and logs. Use it to instrument libraries/apps while staying decoupled from any specific SDK implementation. Documentation at opentelemetry.io.

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Product Decisions This Supports

  • Observability Roadmap: Enables standardized instrumentation for traces, metrics, and logs in PHP applications, aligning with OpenTelemetry’s vendor-neutral ecosystem. Critical for teams prioritizing SRE, DevOps, or observability-first initiatives.
  • Build vs. Buy: Buy—avoids reinventing observability infrastructure. Integrates with existing tools (e.g., Jaeger, Prometheus, Datadog) via OpenTelemetry’s extensible architecture.
  • Use Cases:
    • Performance Debugging: Track latency bottlenecks in microservices or monoliths (e.g., Laravel APIs).
    • Distributed Tracing: Correlate requests across services (e.g., queue workers, external APIs).
    • Metrics-Driven Development: Instrument business KPIs (e.g., "orders processed per minute") with standardized semantics.
    • Compliance/Audit: Log structured events with context (e.g., user sessions, payment flows).
  • Tech Stack Alignment: Ideal for PHP/Laravel teams adopting OpenTelemetry Collector or backend-for-frontend (BFF) architectures.
  • Cost Efficiency: Reduces tooling fragmentation by consolidating telemetry under one standard.

When to Consider This Package

  • Adopt if:

    • Your team uses PHP/Laravel and needs standardized observability (traces/metrics/logs).
    • You’re integrating with OpenTelemetry Collector or cloud-native tools (e.g., AWS X-Ray, Google Cloud Trace).
    • You require distributed tracing for microservices or serverless (e.g., Lambda).
    • You want to avoid vendor lock-in (e.g., switching from New Relic to Datadog later).
    • Your roadmap includes SLOs/SLIs or automated anomaly detection (metrics + traces).
  • Look elsewhere if:

    • You need real-time dashboards without a backend (consider Laravel Scout or Prometheus client libraries).
    • Your stack is non-PHP (e.g., Node.js, Go—use their native OpenTelemetry SDKs).
    • You lack engineering bandwidth to instrument code (start with auto-instrumentation via opentelemetry-php/contrib).
    • You’re in a highly regulated industry requiring custom audit logs (supplement with dedicated logging tools like Laravel Log).

How to Pitch It (Stakeholders)

For Executives: *"This package lets us standardize observability across our PHP services—like adding ‘GPS tracking’ for our application’s performance. It integrates with tools we already use (e.g., Datadog, Prometheus) and future-proofs us against vendor lock-in. For example, we could:

  • Reduce MTTR by 30% with end-to-end tracing of user flows.
  • Cut cloud costs by identifying idle services via metrics.
  • Comply with audits by logging structured events with context. It’s a low-risk investment: we start small (e.g., instrument critical APIs) and scale as needed."*

For Engineers: *"The OpenTelemetry PHP API gives us:

  • Consistency: One way to instrument traces, metrics, and logs across all PHP services.
  • Flexibility: Works with any backend (e.g., OTLP exporter to Jaeger or Prometheus).
  • Future-Proofing: Aligns with CNCF standards—no rewrite if we switch tools. Example: Add tracing to a Laravel controller in 5 lines:
use OpenTelemetry\API\Trace\TracerInterface;
$tracer = app(TracerInterface::class);
$span = $tracer->spanBuilder('user.order')->startSpan();
try {
    $order = Order::create($request->all());
    $span->setAttribute('order.id', $order->id);
} finally {
    $span->end();
}

Trade-offs: Minimal overhead (~5% CPU), but requires discipline to instrument key paths. Start with high-value flows (e.g., checkout, API gateways)."*

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