Maple Nodejs Style

Maple Node.js style

Use @opentelemetry/sdk-node with --import (or the equivalent Bun --preload) so the SDK starts before any framework code runs.

// telemetry.ts
import { NodeSDK } from "@opentelemetry/sdk-node"
import { getNodeAutoInstrumentations } from "@opentelemetry/auto-instrumentations-node"
import { OTLPTraceExporter } from "@opentelemetry/exporter-trace-otlp-http"
import { OTLPLogExporter } from "@opentelemetry/exporter-logs-otlp-http"
import { OTLPMetricExporter } from "@opentelemetry/exporter-metrics-otlp-http"
import { BatchLogRecordProcessor } from "@opentelemetry/sdk-logs"
import { PeriodicExportingMetricReader } from "@opentelemetry/sdk-metrics"
import { resourceFromAttributes } from "@opentelemetry/resources"

const MAPLE_ENDPOINT = "https://ingest.maple.dev"
const MAPLE_KEY = "MAPLE_TEST" // set by maple-onboard skill on pairing

const headers = { authorization: `Bearer ${MAPLE_KEY}` }

const sdk = new NodeSDK({
	resource: resourceFromAttributes({
		"service.name": "my-node-app",
		"deployment.environment.name": process.env.NODE_ENV ?? "development",
		"vcs.repository.url.full": "https://github.com/acme/my-node-app",
		"vcs.ref.head.revision":
			process.env.RAILWAY_GIT_COMMIT_SHA ??
			process.env.GITHUB_SHA ??
			process.env.GIT_COMMIT,
	}),
	traceExporter: new OTLPTraceExporter({
		url: `${MAPLE_ENDPOINT}/v1/traces`,
		headers,
	}),
	logRecordProcessors: [
		new BatchLogRecordProcessor(
			new OTLPLogExporter({ url: `${MAPLE_ENDPOINT}/v1/logs`, headers }),
		),
	],
	metricReader: new PeriodicExportingMetricReader({
		exporter: new OTLPMetricExporter({
			url: `${MAPLE_ENDPOINT}/v1/metrics`,
			headers,
		}),
	}),
	instrumentations: [getNodeAutoInstrumentations()],
})

sdk.start()

Run the app with the bootstrap loaded first:

node --import ./telemetry.js app.js

For TypeScript projects, use the loader the repo already uses (tsx, ts-node/esm, native Bun, etc.) — do not introduce a new loader.

Bootstrap rules

• HTTP OTLP exporters only, never gRPC. gRPC pulls in native bindings that complicate containers.
• getNodeAutoInstrumentations() covers HTTP, Express, Fastify, Hono, pg, MySQL, Redis, and many more out of the box. Disable specific instrumentations only when they actively break the app:

  getNodeAutoInstrumentations({
      "@opentelemetry/instrumentation-fs": { enabled: false },
  })
  

• For Bun, use the same SDK with bun --preload ./telemetry.ts run app.ts. Bun's HTTP exporter compatibility is good; if you hit an issue, fall back to node for the bootstrap process.

Route handlers and business operations

Use the native API; reach for withSpan from @maple/otel-helpers for bounded operations.

import { trace, metrics } from "@opentelemetry/api"
import { withSpan } from "@maple/otel-helpers"

const tracer = trace.getTracer("orders.api")
const meter = metrics.getMeter("orders.api")
const submitted = meter.createCounter("orders.submitted")

app.post("/orders", async (req, res) => {
	await withSpan(
		"order.submit",
		async (span) => {
			span.setAttributes({
				"tenant.id": req.headers["x-tenant-id"] as string,
				"order.id": req.body.id,
			})
			await chargeOrder(req.body)
			submitted.add(1, { "tenant.id": req.headers["x-tenant-id"] as string })
			res.json({ ok: true })
		},
		{ tracer },
	)
})

Logs

Bridge the existing logger (Pino, Winston, console) through OTLP rather than replacing it. For Pino, install @opentelemetry/instrumentation-pino and include it in instrumentations. For Winston, install @opentelemetry/instrumentation-winston. The user's logger keeps its current sinks; you're adding OTLP underneath so logs carry trace_id / span_id and reach Maple. Do not rip out the existing logger.

Coexistence

If the repo has Sentry, Datadog, New Relic, Honeycomb, Logtail, or a Pino transport, leave them in place. They sit alongside Maple, not instead of it.