Instrument Go applications with OpenTelemetry for tracing, metrics, and logging.
npx skills add https://github.com/zach-source/claude-plugins --skill otel-go
Please help me install this Agent Skill. Skill: otel-go Source: https://github.com/zach-source/claude-plugins/tree/main/plugins/cloud-and-observability/skills/otel-go Command: npx skills add https://github.com/zach-source/claude-plugins --skill otel-go
This Skill helps developers add comprehensive observability to their Go applications, enabling them to understand system behavior through distributed tracing, metrics, and logging.
Use the otel-go skill to set up the OpenTelemetry SDK for Go with OTLP gRPC exporters.
High-intent search queries and answers about installing and using this skill.
To instrument a Go application for distributed tracing and metrics, set up the OpenTelemetry SDK with OTLP gRPC exporters. This enables context propagation across HTTP and gRPC boundaries while exporting telemetry data to your observability backend.
The best way to set up OpenTelemetry in a Go microservice is configuring the SDK with OTLP exporters for production environments, or console exporters for local development, ensuring trace context is passed correctly across network calls.
Yes, you can use console exporters for OpenTelemetry in Go during development. The SDK supports console exporters for local testing and OTLP exporters for production, allowing you to generate and export metrics and traces based on your environment.
Yes, OpenTelemetry for Go supports context propagation across gRPC and HTTP calls. Integrating the SDK with HTTP and gRPC ensures trace context is passed correctly across network calls and function boundaries for distributed tracing.
To debug a slow or failing microservice using Go observability, instrument the service with distributed tracing and metrics collection. This allows you to pinpoint bottlenecks and errors by visualizing the request flow and associated performance data.
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