Why should I use useAzureMonitor() before other imports?

Calling useAzureMonitor() first ensures that the auto-instrumentation logic can hook into libraries like Express, MongoDB, or HTTP before they are initialized by your application.

How do I handle telemetry during network outages?

The Azure Monitor SDK includes options for offline storage, which caches telemetry locally and flushes it once the connection to the ingestion endpoint is restored.

Can I filter specific spans or traces?

Yes, the skill provides implementation patterns for custom SpanProcessors, allowing you to add custom dimensions or drop internal spans based on specific logic.

Does this skill support ECMAScript Modules (ESM)?

Yes, it includes specific instructions for using the Node.js 18.19+ loader flag to correctly instrument ESM-based TypeScript projects.

Azure Monitor OpenTelemetry for Node.js

Name: Azure Monitor OpenTelemetry for Node.js
Author: sickn33

bysickn33

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31,721

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分析と監視

Instruments Node.js applications with distributed tracing, metrics, and logs using the Azure Monitor OpenTelemetry SDK.

This skill provides comprehensive guidance and implementation patterns for integrating Azure Monitor with Node.js applications via OpenTelemetry. It enables developers to automatically capture distributed traces, performance metrics, and application logs with minimal configuration, while also offering advanced capabilities for custom telemetry, manual exporter setup, and ESM support. It is ideal for developers building cloud-native TypeScript applications on Azure who require robust observability, performance monitoring, and reliable telemetry ingestion.

主な機能

01Distributed tracing with custom span and attribute support

02Support for modern Node.js features like ESM loaders and offline storage

03Comprehensive metric collection including counters and histograms

04Integrated log ingestion and manual exporter configuration

0531,721 GitHub stars

06Auto-instrumentation for HTTP, databases, and Azure SDKs

ユースケース

01Setting up full-stack observability for Azure-hosted Node.js microservices

02Monitoring application performance and reliability using Azure Application Insights

03Debugging distributed systems with end-to-end request tracing and span filtering

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills azure-monitor-opentelemetry-ts

For use in Claude.ai and ChatGPT

主な機能

01Distributed tracing with custom span and attribute support

02Support for modern Node.js features like ESM loaders and offline storage

03Comprehensive metric collection including counters and histograms

04Integrated log ingestion and manual exporter configuration

0531,721 GitHub stars

06Auto-instrumentation for HTTP, databases, and Azure SDKs

ユースケース

01Setting up full-stack observability for Azure-hosted Node.js microservices

02Monitoring application performance and reliability using Azure Application Insights

03Debugging distributed systems with end-to-end request tracing and span filtering

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills azure-monitor-opentelemetry-ts

For use in Claude.ai and ChatGPT