azure-monitor-opentelemetry-py

原文涵盖的主题

• Azure Monitor OpenTelemetry Distro for Python
• Installation
• Environment Variables
• Authentication & Lifecycle
• Quick Start
• Explicit Connection String
• With Flask
• With Django

One-line setup for Application Insights with OpenTelemetry auto-instrumentation. 🔑 Two rules apply to every code sample below: 1. Prefer DefaultAzureCredential for ingestion auth when supported. APPLICATIONINSIGHTSCONNECTIONSTRING identifies the target Application Insights resource, and credential=DefaultAzureCredential(...) provides Microsoft Entra authentication. - Local dev: DefaultAzureCredential works as-is. - Production: set AZURETOKENCREDENTIALS=prod (or AZURETOKENCREDENTIALS= ) to constrain the credential chain to production-safe credentials. 2. Providers are not context managers. Flush and shut down telemetry providers explicitly at process exit so buffers are exported deterministically. Snippets may abbreviate this setup, but production code should always follow both rules. Pass the connection string explicitly by reading it from the environment variable. The value includes both InstrumentationKey and IngestionEndpoint. Set cloud role name for Application Map: | Library | Telemetry Type | |---------|---------------| | Flask | Traces | | Django | Traces | | FastAPI | Traces | | Requests | Traces | | urllib3 | Traces | | httpx | Traces | | aiohttp | Traces | | psycopg2 | T

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