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/appinsights-instrumentation

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Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.

12 files
22.8 KB
MIT
Updated 2 months ago
GitHub
1 warning

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referencessdkazure-monitor-opentelemetry-ts.md

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Azure Monitor OpenTelemetry — TypeScript SDK Quick Reference

Condensed from azure-monitor-opentelemetry-ts. Full patterns (ESM loader, custom span processors, manual exporters, live metrics) in the azure-monitor-opentelemetry-ts plugin skill if installed.

Install

npm install @azure/monitor-opentelemetry

Quick Start

import { useAzureMonitor } from "@azure/monitor-opentelemetry";
useAzureMonitor({
  azureMonitorExporterOptions: {
    connectionString: process.env.APPLICATIONINSIGHTS_CONNECTION_STRING
  }
});

Best Practices

Call useAzureMonitor() first — before importing other modules
Use ESM loader for ESM projects — --import @azure/monitor-opentelemetry/loader
Enable offline storage for reliable telemetry in disconnected scenarios
Set sampling ratio for high-traffic applications
Add custom dimensions — use span processors for enrichment
Graceful shutdown — call shutdownAzureMonitor() to flush telemetry

Source: SKILL.md on GitHub

Third-party checks

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Gen Agent Trust Hub15d
This skill provides guidance and technical reference for instrumenting applications with Azure Application Insights. It follows industry best practices for configuration management, including secret handling, and uses official Microsoft libraries and tools. No security issues were detected.
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Risk: LOW · No issues
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Signed by skilld at b3c238e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 2 months ago

Capability

metadata: { "author": "Microsoft", "version": "1.2.1" }

/appinsights-instrumentation