How do I control the volume of data sent to Azure?

You can configure the samplingRatio (0.0 to 1.0) to determine the percentage of traces recorded and exported.

Can I record custom business metrics with this skill?

Yes, you can use the OpenTelemetry Meter API to create counters, histograms, and gauges that export directly to Azure Monitor.

Does this support reliable telemetry during network outages?

Yes, it supports configurable offline storage to buffer telemetry data until the connection to Azure Monitor is restored.

How do I enable ESM support for Azure Monitor?

Use the --import @azure/monitor-opentelemetry/loader flag when starting your Node.js process (version 18.19+).

Why must useAzureMonitor() be called before other imports?

It must be initialized first to allow the OpenTelemetry library to patch and instrument downstream modules like Express or HTTP.

Azure Monitor OpenTelemetry for Node.js

Name: Azure Monitor OpenTelemetry for Node.js
Author: lingxling

bylingxling

•

Analíticas y Monitorización

Instruments Node.js applications with OpenTelemetry for seamless distributed tracing, metrics, and logging in Azure Monitor.

This skill provides comprehensive guidance and implementation patterns for integrating OpenTelemetry with Azure Monitor in TypeScript environments. It simplifies the process of auto-instrumenting Node.js applications, configuring distributed tracing, and capturing custom metrics or logs for Application Insights. Whether you are using the high-level Azure Monitor SDK or low-level OpenTelemetry exporters, this skill helps you set up observability best practices, including ESM support, sampling strategies, and offline storage to ensure reliable telemetry delivery even in disconnected scenarios.

Características Principales

01Advanced configuration for sampling, offline storage, and span processing.

02Direct integration instructions for Azure SDKs, databases, and Redis.

0339 GitHub stars

04One-click auto-instrumentation for Node.js tracing, metrics, and logs.

05Comprehensive patterns for custom trace, metric, and log ingestion.

06Native ESM support via Node.js loaders for modern project structures.

Casos de Uso

01Migrating legacy Application Insights SDKs to modern OpenTelemetry standards.

02Implementing full-stack observability in an Azure-hosted microservice architecture.

03Debugging distributed request flows and performance bottlenecks in production Node.js apps.

Características Principales

01Advanced configuration for sampling, offline storage, and span processing.

02Direct integration instructions for Azure SDKs, databases, and Redis.

0339 GitHub stars

04One-click auto-instrumentation for Node.js tracing, metrics, and logs.

05Comprehensive patterns for custom trace, metric, and log ingestion.

06Native ESM support via Node.js loaders for modern project structures.

Casos de Uso

01Migrating legacy Application Insights SDKs to modern OpenTelemetry standards.

02Implementing full-stack observability in an Azure-hosted microservice architecture.

03Debugging distributed request flows and performance bottlenecks in production Node.js apps.