Why must useAzureMonitor() be called before other imports?

OpenTelemetry needs to be initialized early to successfully hook into and patch the loading of other modules for automatic instrumentation to function.

How do I use this skill with Node.js ES Modules (ESM)?

You should use the Node.js --import flag pointing to the @azure/monitor-opentelemetry/loader to ensure instrumentation works correctly in ESM environments.

How do I handle application shutdown to prevent data loss?

The skill demonstrates how to use the shutdownAzureMonitor() function within process event listeners to flush all remaining telemetry before the process exits.

Does this skill help with unreliable network conditions?

Yes, it provides configuration patterns for enabling offline storage to ensure telemetry data is cached locally and sent once the connection to Azure is restored.

Can I record custom business metrics with this setup?

Yes, the skill includes patterns for using the OpenTelemetry API to create counters, histograms, and gauges that export directly to Azure Monitor.

Azure Monitor OpenTelemetry for Node.js

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

byJantonioFC

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分析与监控

Instruments Node.js applications with Azure Monitor and OpenTelemetry to provide distributed tracing, metrics, and logs.

This skill provides comprehensive patterns and best practices for integrating OpenTelemetry with Azure Monitor (Application Insights) in TypeScript and Node.js environments. It simplifies the implementation of distributed tracing, performance metrics, and log ingestion, ensuring developers follow critical requirements such as early initialization for auto-instrumentation and proper ESM support. By utilizing this skill, teams can quickly establish enterprise-grade observability, configure custom span processors, and implement reliable telemetry export with features like offline storage and graceful shutdowns.

主要功能

01Distributed tracing with support for custom spans and processors

02Performance metrics collection including counters and gauges

03Azure Monitor Log Ingestion for custom telemetry streaming

042 GitHub stars

05Automatic instrumentation of common Node.js libraries and frameworks

06Configuration patterns for ESM, offline storage, and sampling

使用场景

01Debugging performance bottlenecks in distributed TypeScript applications

02Implementing end-to-end observability in Azure-hosted microservices

03Standardizing logging and metrics across cloud-native Node.js projects

主要功能

01Distributed tracing with support for custom spans and processors

02Performance metrics collection including counters and gauges

03Azure Monitor Log Ingestion for custom telemetry streaming

042 GitHub stars

05Automatic instrumentation of common Node.js libraries and frameworks

06Configuration patterns for ESM, offline storage, and sampling

使用场景

01Debugging performance bottlenecks in distributed TypeScript applications

02Implementing end-to-end observability in Azure-hosted microservices

03Standardizing logging and metrics across cloud-native Node.js projects