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docs(edot-nodejs): instr-runtime-node is now in auto-instrumentations-node (#213)
As of open-telemetry/opentelemetry-js-contrib#2786 auto-instrumentations-node v0.58.0 includes instrumentation-runtime-node by default.
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docs/_edot-sdks/nodejs/index.md

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@@ -11,7 +11,7 @@ The Elastic Distribution of OpenTelemetry Node.js (EDOT Node.js) is a light wrap
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- A single package that includes several OpenTelemetry packages as dependencies, so you only need to install and update a single package (for most use cases). This is similar to OpenTelemetry's `@opentelemetry/auto-instrumentations-node` package.
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- The [`@elastic/opentelemetry-instrumentation-openai`](https://github.com/elastic/elastic-otel-node/tree/main/packages/instrumentation-openai#readme) instrumentation for monitoring usage of the OpenAI Node.js client library.
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- Additional metrics are collected by default: `process.cpu.*` and `process.memory.*` metrics from the [host-metrics package](https://github.com/open-telemetry/opentelemetry-js-contrib/tree/main/packages/opentelemetry-host-metrics/) and `nodejs.*` and `v8js.*` metrics from the [instrumentation-runtime-node package](https://github.com/open-telemetry/opentelemetry-js-contrib/tree/main/plugins/node/instrumentation-runtime-node/).
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- Additional metrics are collected by default: `process.cpu.*` and `process.memory.*` metrics from the [host-metrics package](https://github.com/open-telemetry/opentelemetry-js-contrib/tree/main/packages/opentelemetry-host-metrics/).
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Use EDOT Node.js with your Node.js application to automatically capture distributed tracing data, performance metrics, and logs. EDOT Node.js will automatically instrument [popular modules](./supported-technologies#instrumentations) used by your service, and send the data to your configured observability backend.
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