opentelemetry

Use a vendor-neutral standard to generate and collect traces, metrics, and logs across distributed systems. This framework integrates with various backends like Jaeger and Zipkin without locking you into a specific vendor.

Auto-instrumentation automatically traces popular frameworks like Express and HTTP in Node.js applications. This reduces manual effort by generating telemetry data and exporting it directly to your configured observability backend.

Yes, you can export traces, metrics, and logs to backends like Jaeger, Zipkin, and OTLP. The framework provides a standardized way to collect telemetry data and seamlessly integrate it with these observability platforms.

Resource detection automatically identifies and tags telemetry data with environment details. This ensures that traces, metrics, and logs collected across distributed systems include contextual information about their originating infrastructure.

No, the framework supports context propagation for seamless integration across distributed systems. This allows you to trace requests as they move across microservices, identify performance bottlenecks, and aggregate logs for debugging.

You need it when monitoring distributed systems becomes complex and requires a standardized way to collect telemetry. It solves the challenge of generating and exporting traces, metrics, and logs to identify bottlenecks and debug effectively.