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AppInsights Instrumentation Guide

Instrument applications with Azure Application Insights for telemetry, tracing, and performance monitoring

microsoftGitHub microsoftOfficialSource repo Original GitHub link Publisher page

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references/sdk/azure-monitor-opentelemetry-py.md

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Azure Monitor OpenTelemetry — Python SDK Quick Reference

Condensed from azure-monitor-opentelemetry-py. Full patterns (Flask/Django/FastAPI, custom metrics, sampling, live metrics) in the azure-monitor-opentelemetry-py plugin skill if installed.

Install

pip install azure-monitor-opentelemetry

Quick Start

from azure.monitor.opentelemetry import configure_azure_monitor
configure_azure_monitor()

Best Practices

Call configureazuremonitor() early — before importing instrumented libraries
Use environment variables for connection string in production
Set cloud role name for multi-service Application Map
Enable sampling in high-traffic applications
Use structured logging for better log analytics queries
Add custom attributes to spans for better debugging
Use AAD authentication for production workloads

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