What if libraries were active participants in their own observability and emit telemetry data themselves? Here's how Node's diagnostics API can make that a reality.

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Monkey-patching has long been the standard approach for instrumenting Node.js libraries in APM tools like Sentry and OpenTelemetry, but it breaks down with ES Modules. Node.js's built-in Diagnostics Channels and Tracing Channels offer a better alternative: libraries can proactively emit structured telemetry data themselves, eliminating the need for runtime patching. Tracing Channels provide a full operation lifecycle (start, end, error, asyncStart) with automatic async context propagation, near-zero overhead when unused, and no dependency on specific vendors. The post covers naming conventions, code examples for both library authors and SDK consumers, and highlights growing ecosystem adoption in libraries like undici, fastify, mysql2, ioredis, and node-redis.

There's better ways than Monkey-Patching: A Path to Node.js Observability with Tracing Channels

How server-side JavaScript is instrumented

Libraries Should Emit Their Own Telemetry

How Libraries Can Implement Tracing Channels