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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.

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22.8 KB
MIT
Updated 2 months ago
GitHub
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referencessdkazure-monitor-opentelemetry-exporter-py.md

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Azure Monitor OpenTelemetry Exporter — Python SDK Quick Reference

Condensed from azure-monitor-opentelemetry-exporter-py. Full patterns (metric exporter, log exporter, offline storage, sovereign clouds) in the azure-monitor-opentelemetry-exporter-py plugin skill if installed.

Install

pip install azure-monitor-opentelemetry-exporter

Quick Start

from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
exporter = AzureMonitorTraceExporter()  # reads APPLICATIONINSIGHTS_CONNECTION_STRING

Best Practices

Use BatchSpanProcessor for production (not SimpleSpanProcessor)
Use ApplicationInsightsSampler for consistent sampling across services
Enable offline storage for reliability in production
Use AAD authentication instead of instrumentation keys
Set export intervals appropriate for your workload
Use the distro (azure-monitor-opentelemetry) unless you need custom pipelines

Source: SKILL.md on GitHub

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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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Activeupdated 2 months ago

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

/appinsights-instrumentation