How does this skill handle high-cardinality data in metrics?

The skill provides guidance on keeping metric tag combinations under 1000 per instrument to prevent memory issues in collectors, recommending span attributes or logs for high-cardinality data like user IDs.

What is the recommended way to export telemetry data?

The skill recommends using UseOtlpExporter() for a cross-cutting approach that handles traces, metrics, and logs via environment variables like OTEL_EXPORTER_OTLP_ENDPOINT.

Why should I use IMeterFactory instead of creating new Meters?

Using IMeterFactory is a best practice in .NET as it manages the lifetime of Meter instances through Dependency Injection, preventing memory leaks and ensuring instruments are correctly disposed of.

Does it support the Aspire Dashboard?

Yes, it includes specific patterns and Docker configurations to run the standalone Aspire Dashboard for real-time visualization of traces and metrics during local development.

OpenTelemetry for .NET

Name: OpenTelemetry for .NET
Author: codewithmukesh

bycodewithmukesh

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189

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分析与监控

Implements comprehensive observability for .NET 10 applications using OpenTelemetry standards for traces, metrics, and logs.

This skill enables Claude to architect and implement robust observability in .NET 10 applications using the OpenTelemetry SDK. It provides standardized patterns for configuring distributed tracing with ActivitySource, managing high-performance metrics through IMeterFactory, and setting up unified OTLP export. By emphasizing environment-based configuration and avoiding common pitfalls like high-cardinality tags or memory-leaking Meter instances, this skill ensures your .NET services are production-ready and fully compatible with modern observability backends like the Aspire Dashboard, Prometheus, and Jaeger.

主要功能

01189 GitHub stars

02Null-safe distributed tracing implementation using ActivitySource.

03Unified configuration for traces, metrics, and logs via a single OpenTelemetry setup.

04Seamless integration with Aspire Dashboard for local telemetry visualization.

05Leak-proof metric management using IMeterFactory and singleton patterns.

06High-performance, allocation-free logging with [LoggerMessage] source generators.

使用场景

01Setting up distributed tracing across .NET microservices to debug cross-service latency.

02Implementing custom business KPIs and system metrics with multi-dimensional tagging.

03Standardizing telemetry export using OTLP to integrate with Grafana, Honeycomb, or Datadog.

主要功能

01189 GitHub stars

02Null-safe distributed tracing implementation using ActivitySource.

03Unified configuration for traces, metrics, and logs via a single OpenTelemetry setup.

04Seamless integration with Aspire Dashboard for local telemetry visualization.

05Leak-proof metric management using IMeterFactory and singleton patterns.

06High-performance, allocation-free logging with [LoggerMessage] source generators.

使用场景

01Setting up distributed tracing across .NET microservices to debug cross-service latency.

02Implementing custom business KPIs and system metrics with multi-dimensional tagging.

03Standardizing telemetry export using OTLP to integrate with Grafana, Honeycomb, or Datadog.