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效率与协作 · SKILL.md

opentelemetry

opentelemetry

【效率与协作】OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting

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GitHub

name: opentelemetry description: "OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting" user-invocable: false disable-model-invocation: true version: 1.0.0 category: universal author: Claude MPM Team license: MIT progressive_disclosure: entry_point: summary: "Instrument services with OpenTelemetry and export OTLP traces/metrics/logs through a Collector for correlation and troubleshooting" when_to_use: "When building production observability, adding tracing to distributed systems, or standardizing telemetry across languages" quick_start: "1. Set service.name 2. Add auto-instrumentation 3. Export OTLP 4. Deploy Collector 5. Correlate logs with trace IDs" token_estimate: entry: 150 full: 9000 context_limit: 900 tags:

  • observability
  • opentelemetry
  • tracing
  • metrics
  • logs
  • otlp requires_tools: []

OpenTelemetry

Quick Start (signal design)

  • Export OTLP via an OpenTelemetry Collector (vendor-neutral endpoint).
  • Standardize resource attributes: service.name, service.version, deployment.environment.
  • Start with auto-instrumentation, then add manual spans and log correlation.

Load Next (References)

  • references/concepts.md — traces/metrics/logs, context propagation, sampling, semantic conventions
  • references/collector-and-otlp.md — Collector pipelines, processors, deployment patterns, tail sampling
  • references/instrumentation-and-troubleshooting.md — manual spans, propagation pitfalls, cardinality, debugging
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