Azure Monitor Opentelemetry Exporter Py

What it does

This skill enables Python applications to export OpenTelemetry traces, metrics, and logs directly to Azure Monitor. It provides a convenient way to instrument your code with OpenTelemetry and leverage Azure's observability platform for monitoring and troubleshooting. The exporter supports various configurations including resource attributes and custom spans.

When to use it

• Monitoring Python microservices: Instrument a collection of small Python services deployed in containers and send telemetry data to Azure Monitor for centralized visibility.
• Debugging performance bottlenecks: Use OpenTelemetry's tracing capabilities, exported to Azure Monitor, to identify slow database queries or inefficient code paths within your application.
• Collecting custom metrics: Define and export application-specific metrics (e.g., queue sizes, cache hit rates) to Azure Monitor for business intelligence and operational dashboards.
• Standardizing telemetry collection: Ensure consistent data format and reporting across multiple Python applications by using the OpenTelemetry standard and exporting to a common destination like Azure Monitor.

Key capabilities

• Exports OpenTelemetry traces, metrics, and logs.
• Supports resource attributes for context in Azure Monitor.
• Allows custom span creation for detailed tracing.
• Integrates with Azure Monitor's observability platform.

Example prompts

• "Configure the exporter to include my application name as a resource attribute."
• "Export OpenTelemetry metrics to Azure Monitor every 5 seconds."
• “Create a new span named 'database_query' and tag it with the query parameters.”

Tips & gotchas

• Requires an Azure subscription and appropriate permissions to send data to Azure Monitor.
• Ensure your application is properly instrumented with OpenTelemetry before using this exporter.