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grafana/opentelemetry

OpenTelemetry mit dem Grafana-Stack. Deckt OTel SDK-Instrumentierung für Go/Java/Python/Node.js/.NET, OTLP-Protokoll- und Endpunkt-Konfiguration, Senden von Telemetriedaten an Grafana Cloud über den OTLP-Endpunkt, Grafana Alloy als OTel-Collector, Sampling-Strategien, Kubernetes-OTel-Operator und Migration von anderen Observability-Tools ab.

Was ist opentelemetry?

Diese Fähigkeit (Skill) bietet umfassende Anleitung zur Integration von OpenTelemetry (OTel) in den Grafana-Stack. Sie unterstützt Entwickler und Plattformingenieure bei der Instrumentierung von Anwendungen mit den OTel-SDKs für Go, Java, Python, Node.js und .NET. Die Anleitung behandelt die Konfiguration von OTLP-Endpunkten und -Protokollen, das Senden von Telemetriedaten an Grafana Cloud über den OTLP-Endpunkt, den Einsatz von Grafana Alloy als OTel-Collector, verschiedene Sampling-Strategien und den Kubernetes-OTel-Operator. Der Skill ist ideal für die Migration von anderen Observability-Tools zu OpenTelemetry und hilft dabei, eine konsistente, standardisierte Telemetrie-Pipeline aufzubauen.

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Dokumentation

Was macht opentelemetry?

OpenTelemetry mit dem Grafana-Stack. Deckt OTel SDK-Instrumentierung für Go/Java/Python/Node.js/.NET, OTLP-Protokoll- und Endpunkt-Konfiguration, Senden von Telemetriedaten an Grafana Cloud über den OTLP-Endpunkt, Grafana Alloy als OTel-Collector, Sampling-Strategien, Kubernetes-OTel-Operator und Migration von anderen Observability-Tools ab. Verwendung bei der Instrumentierung von Apps mit OTel, Konfiguration von OTLP-Endpunkten, Einrichtung von Collectors oder Migration zu OpenTelemetry.

Individual skills in this repo

This repo contains 4 individual skills — each has its own dedicated page.

grafana/dashboarding

Create, modify, and organise Grafana dashboards including panels, variables, transformations, and alerting. Use when the user asks to create a Grafana dashboard, add a panel, configure a time series or stat panel, add template variables, set up dashboard linking, use transformations, configure thresholds, build a dashboard for a service, or export dashboard JSON. Triggers on phrases like "create dashboard", "add panel", "time series panel", "Grafana dashboard JSON", "template variables", "dashboard variable", "panel transformation", "threshold", "stat panel", "table panel", "Grafana annotations", or "dashboard folder".

grafana/grafana-oss

Configure Grafana OSS — provisions dashboards from YAML, sets up data sources (Prometheus / Loki / Tempo / Pyroscope), writes dashboard JSON with template variables, builds panel queries, assigns built-in roles (Viewer / Editor / Admin / GrafanaAdmin), mints service-account tokens, edits grafana.ini server config, creates annotations, installs plugins via provisioning, and validates each step with a health-check curl. Use when building dashboards, configuring data sources, setting up provisioning YAML, picking a panel type, writing template variables, managing users and roles, configuring SMTP/OAuth in grafana.ini, creating annotations via API, troubleshooting why a provisioned dashboard isn't showing up, or running Grafana OSS locally — even when the user says "set up a Prometheus data source", "provision dashboards from git", "make a service account", or "configure SSO in OSS" without saying "Grafana OSS".

grafana/prometheus

Prometheus and Grafana Cloud Metrics overview including PromQL query language, Metrics Drilldown, alerting, recording rules, and integration patterns. Use when working with Prometheus, writing PromQL queries, configuring alerting, or discussing metrics architecture and best practices.

grafana/promql

Write, validate, and optimise PromQL queries for Prometheus and Grafana Cloud Metrics. Use when the user asks to query metrics, write a PromQL expression, calculate rates, aggregate across labels, build histogram quantiles, create recording rules, debug query performance, or understand metric cardinality. Triggers on phrases like "PromQL", "Prometheus query", "write a metric query", "calculate rate", "histogram_quantile", "recording rule", "metric cardinality", "sum by", "rate vs irate", "absent()", or "query is slow".

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