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Node Library for [HyperDX](https://www.hyperdx.io/)","maintainers":[{"name":"wrn14897","email":"warren@hyperdx.io"},{"name":"mikeshi42","email":"hi@michaelshi.me"}],"readme":"# HyperDX OpenTelemetry Node\n\nOpenTelemetry Node Library for [HyperDX](https://www.hyperdx.io/)\n\n### Install HyperDX OpenTelemetry Instrumentation Package\n\nUse the following command to install the OpenTelemetry package.\n\n```sh\nnpm install @hyperdx/node-opentelemetry\n```\n\nor\n\n```sh\nyarn add @hyperdx/node-opentelemetry\n```\n\n### Add The Logger Transport\n\nTo collect logs from your application, you'll need to add a few lines of code to\nconfigure your logging module.\n\n#### Winston Transport\n\n```ts\nimport winston from 'winston';\nimport * as HyperDX from '@hyperdx/node-opentelemetry';\n\nconst MAX_LEVEL = 'info';\n\nconst logger = winston.createLogger({\n  level: MAX_LEVEL,\n  format: winston.format.json(),\n  transports: [\n    new winston.transports.Console(),\n    HyperDX.getWinstonTransport(MAX_LEVEL), // append this to the existing transports\n  ],\n});\n\nexport default logger;\n```\n\n#### Pino Transport\n\n```ts\nimport pino from 'pino';\nimport * as HyperDX from '@hyperdx/node-opentelemetry';\n\nconst MAX_LEVEL = 'info';\n\nconst logger = pino({\n  mixin: HyperDX.getPinoMixinFunction,\n  transport: {\n    targets: [\n      HyperDX.getPinoTransport(MAX_LEVEL),\n      // other transports\n    ],\n  },\n});\n\nexport default logger;\n```\n\n### Configure Environment Variables\n\nAfterwards you'll need to configure the following environment variables in your\nshell to ship telemetry to HyperDX:\n\n```sh\nexport HYPERDX_API_KEY=<YOUR_HYPERDX_API_KEY_HERE> \\\nOTEL_SERVICE_NAME='<NAME_OF_YOUR_APP_OR_SERVICE>'\n```\n\n_Self-hosted users will need to additionally specify the `OTEL_EXPORTER_OTLP_ENDPOINT` env var to point to their self-hosted endpoint (ex. `http://localhost:4318`)_\n\n### Run the Application with HyperDX OpenTelemetry CLI\n\n#### Option 1 (Recommended)\n\nNow you can run the application with the HyperdxDX `opentelemetry-instrument`\nCLI.\n\n```sh\nnpx opentelemetry-instrument index.js\n```\n\n#### Option 2\n\nIn case you want to run the application with a custom entry point (nodemon,\nts-node, etc.).\n\nRun your application with the following command (example using `ts-node`):\n\n```sh\nnpx ts-node -r '@hyperdx/node-opentelemetry/build/src/tracing' index.ts\n```\n\n#### Option 3\n\nYou can also manually instrument the SDK. In the `instrument.ts`, add the following code:\n\n```ts\nimport { initSDK } from '@hyperdx/node-opentelemetry';\n\ninitSDK({\n  consoleCapture: true, // optional, default: true\n  additionalInstrumentations: [], // optional, default: []\n  additionalResourceAttributes: { // optional, default: {}\n    // Add custom resource attributes to all telemetry data\n    'environment': 'production',\n    'deployment.version': '1.0.0',\n    'custom.attribute': 'value'\n  },\n});\n\n// Other instrumentation code...\n// Details link: https://opentelemetry.io/docs/instrumentation/js/manual/#manual-instrumentation-setup\n```\n\nAnd run your application with the following command (example using `ts-node`):\n\n```sh\nnpx ts-node -r './instrument.ts' index.ts\n```\n\n### Troubleshooting\n\nIf you are having trouble getting events to show up in HyperDX, you can enable verbose logging by setting the environment variable `OTEL_LOG_LEVEL=debug`. This will print out additional debug logging to isolate any issues.\n\nIf you're pointing to a self-hosted collector, ensure the `OTEL_EXPORTER_OTLP_ENDPOINT` environment variable is set to the correct endpoint (ex. `http://localhost:4318`) and is reachable (ex. `curl http://localhost:4318/v1/traces` should return a HTTP 405).\n\n#### Bundlers (esbuild, webpack, etc.)\n\nWhen using bundlers like esbuild with OpenTelemetry, in order to auto-instrument supported libraries, you'll want to make sure you make them available outside of the bundle. For instance:\n\n- For **esbuild**: Use a plugin like [esbuild-node-externals](https://www.npmjs.com/package/esbuild-node-externals) to exclude Node.js modules and libraries from bundling\n- For **other bundlers**: Use equivalent plugins or configurations that prevent bundling of Node.js modules and dependencies that OpenTelemetry needs to instrument\n\nThis ensures that OpenTelemetry can properly access and patch the original modules at runtime rather than using bundled versions, which would make them unavailable to auto-instrumentation.\n\n### (Optional) Attach User Information or Metadata (BETA)\n\nTo easily tag all events related to a given attribute or identifier (ex. user id or email), you can call the `setTraceAttributes` function which will tag every log/span associated with the current trace after the call with the declared attributes. It's recommended to call this function as early as possible within a given request/trace (ex. as early in an Express middleware stack as possible).\n\nThis is a convenient way to ensure all logs/spans are automatically tagged with the right identifiers to be searched on later, instead of needing to manually tagging and propagating identifiers yourself.\n\n`userId`, `userEmail`, `userName`, and `teamName` will populate the sessions UI with the corresponding values, but can be omitted. Any other additional values can be specified and used to search for events.\n\n```sh\nexport HDX_NODE_BETA_MODE=1\n```\n\n```ts\nimport { setTraceAttributes } from '@hyperdx/node-opentelemetry';\n\napp.use((req, res, next) => {\n  // Get user information from the request...\n\n  // Attach user information to the current trace\n  setTraceAttributes({\n    userId,\n    userEmail,\n  });\n  next();\n});\n```\n\n### (Optional) Advanced Instrumentation Configuration\n\n#### Adding Custom Resource Attributes\n\nResource attributes are key-value pairs that describe the resource (service/application) producing telemetry data. These attributes are attached to all traces, metrics, and logs exported from your application. Common use cases include adding environment information, deployment versions, or custom metadata for filtering and grouping telemetry data.\n\nWhen using manual instrumentation with `initSDK`, you can add custom resource attributes using the `additionalResourceAttributes` parameter:\n\n```ts\nimport { initSDK } from '@hyperdx/node-opentelemetry';\n\ninitSDK({\n  additionalResourceAttributes: {\n    'deployment.environment': process.env.NODE_ENV || 'development',\n    'service.version': process.env.APP_VERSION || '0.0.0',\n    'service.namespace': 'my-namespace',\n    'cloud.region': process.env.AWS_REGION,\n    // Add any custom attributes your organization needs\n    'team.name': 'backend-team',\n    'feature.flag': 'new-checkout-flow'\n  },\n});\n```\n\nThese attributes will be included with all telemetry data sent to HyperDX, making it easier to filter and analyze your observability data. For standard attribute names, refer to the [OpenTelemetry Resource Semantic Conventions](https://opentelemetry.io/docs/specs/semconv/resource/).\n\n#### Adding Additional 3rd-Party Instrumentation Packages\n\nWhen manually instrumenting the SDK, use the `additionalInstrumentations` key to create an array of additional 3rd-party instrumentations. Check [here](https://github.com/open-telemetry/opentelemetry-js-contrib/tree/main/metapackages/auto-instrumentations-node#supported-instrumentations) to see the current automatically instrumented packages.\n\n```js\n// In your instrument.js/ts file...\nconst { initSDK } = require('@hyperdx/node-opentelemetry');\nconst { RemixInstrumentation } = require('opentelemetry-instrumentation-remix');\n\ninitSDK({\n  consoleCapture: true, // optional, default: true\n  additionalInstrumentations: [new RemixInstrumentation()], // your custom instrumentations here\n});\n```\n\nYou can then use the instrumentation file above by requiring it when starting your application:\n\n```sh\nnode -r './instrument.js' index.js\n```\n\nor see [manual instrumentation steps](#option-3) for more options.\n\n#### Capture Console Logs\n\nBy default, the HyperDX SDK will capture console logs.\nYou can disable it by setting `HDX_NODE_CONSOLE_CAPTURE` environment variable to 0.\n\n```sh\nexport HDX_NODE_CONSOLE_CAPTURE=0\n```\n\nTo attach trace id to console logs, you can set `HDX_NODE_BETA_MODE` environment variable to 1.\n\n```sh\nexport HDX_NODE_BETA_MODE=1\n```\n\n#### Advanced Network Capture (BETA)\n\nBy enabling advanced network capture, the SDK will additionally capture full HTTP request/response headers\nand bodies for all inbound/outbound HTTP requests, to help with more in-depth request debugging.\nThis can be accomplished by setting `HDX_NODE_ADVANCED_NETWORK_CAPTURE` environment variable to 1.\n\n```sh\nexport HDX_NODE_ADVANCED_NETWORK_CAPTURE=1\n```\n\nBy default, all request/response headers will be captured. You can specify a custom list of headers to capture\nby setting `OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_CLIENT_REQUEST`,\n`OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_CLIENT_RESPONSE`,\n`OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SERVER_REQUEST`,\n`OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SERVER_RESPONSE`\nenvironment variable to a comma-separated list of headers.\n\nFor example:\n\n```sh\nexport OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_CLIENT_REQUEST=authorization,accept\n```\n\n### Custom Termination/Shutdown Handler\n\nIf your application specifies its own shutdown procedure by capturing `SIGTERM` or `SIGINT` events, you'll want to disable the default shutdown handler by specifying `stopOnTerminationSignals` to false in the `initSDK` call or by setting `HDX_NODE_STOP_ON_TERMINATION_SIGNALS` to `false`.\n\nYou can then import and call the `shutdown` async function to manually stop the SDK.\n\n```ts\nimport { shutdown } from '@hyperdx/node-opentelemetry';\n\nprocess.on('SIGTERM', async () => {\n  // Your shutdown code here...\n\n  await shutdown();\n  process.exit();\n});\n```\n\n### GCP Cloud Function Event Handler\n\nIf your application runs on GCP (Google Cloud Platform) Cloud Functions, you can use the `registerGCPCloudFunctionEventHandler` function to automatically instrument your function.\nCurrently the event handler will ensure traces gets propagated through PubSub as long as the publisher has `enableOpenTelemetryTracing: true` (see [example](https://github.com/googleapis/nodejs-pubsub/blob/730e9dc0ab20a5f02508a82310d58b0da1f54330/samples/openTelemetryTracing.js#L86)).\n\n```ts\nimport functions from '@google-cloud/functions-framework';\nimport { registerGCPCloudFunctionEventHandler } from '@hyperdx/node-opentelemetry';\n\nfunctions.cloudEvent(\n  'helloCloudEvent',\n  registerGCPCloudFunctionEventHandler(async (event) => {\n    // Your code here...\n  }),\n);\n```\n","readmeFilename":"README.md"}