When should I use this exporter instead of the standard azure-monitor-opentelemetry distro?

Use this low-level exporter when you need fine-grained control over your OpenTelemetry pipeline, such as custom processors, specific exporters for different telemetry types, or advanced sampling logic.

Can I use this for logging in Python?

Yes, this skill includes configurations for AzureMonitorLogExporter, which integrates with the standard Python logging library via OpenTelemetry's LoggerProvider.

Does this skill support keyless authentication?

Yes, it provides implementation examples for using DefaultAzureCredential, which allows for secure Azure Active Directory (AAD) authentication without managing instrumentation keys.

How is data loss prevented during network outages?

The exporter supports a local offline storage directory. When enabled, it caches telemetry locally and automatically retries the export once the connection to Azure Monitor is restored.

Azure Monitor OTel Python Exporter

Name: Azure Monitor OTel Python Exporter
Author: microsoft

bymicrosoft

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1,777

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Analytics & Monitoring

Exports OpenTelemetry traces, metrics, and logs from Python applications directly to Azure Application Insights with granular control.

This skill provides expert guidance for implementing the low-level Azure Monitor OpenTelemetry Exporter for Python. It enables developers to build highly customized observability pipelines, offering fine-grained control over how telemetry data is processed and sent to Application Insights. It includes implementation patterns for traces, metrics, and logs, as well as advanced configurations for Azure Active Directory (AAD) authentication, offline storage for reliability, and consistent sampling across distributed environments.

Key Features

01Support for Azure Sovereign Clouds including US Government and China

02Advanced sampling patterns with ApplicationInsightsSampler for consistent data

03Secure authentication using Azure Active Directory (AAD) and Managed Identities

04Configurable offline storage and retry logic for high-reliability telemetry

051,777 GitHub stars

06Low-level export of traces, metrics, and logs to Application Insights

Use Cases

01Building custom OpenTelemetry pipelines where the standard Azure distro is too restrictive

02Migrating legacy Python logging and monitoring to modern OpenTelemetry standards on Azure

03Implementing reliable telemetry collection in environments with intermittent connectivity

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microsoft/skills azure-monitor-opentelemetry-exporter-py

For use in Claude.ai and ChatGPT

Download Skill