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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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14

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n/a

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23.9 KB

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SKILL.md

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references/sdk/azure-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