Generate RED metrics, RUM data, and LLM telemetry for Grafana Cloud.
npx skills add https://github.com/grafana/skills --skill app-observability
Please help me install this Agent Skill. Skill: app-observability Source: https://github.com/grafana/skills/tree/main/skills/grafana-cloud/app-observability Command: npx skills add https://github.com/grafana/skills --skill app-observability
Consolidates application, frontend, and AI telemetry into a single observability workflow so teams can detect, diagnose, and correlate rate/error/duration (RED) metrics, traces, logs, and profiles without fragmented toolchains or manual instrumentation guesswork.
Use the app-observability skill to instrument your services with OpenTelemetry, configure Alloy or direct OTLP export, enable Faro for the frontend and OpenLIT for AI telemetry, and verify RED metrics and trace-log-profile correlation in Grafana Cloud.
High-intent search queries and answers about installing and using this skill.
Generate RED metrics from OpenTelemetry traces using Tempo metrics-generator or OTel Collector spanmetrics to analyze service inventory, overview, and operations-level latency. This provides rate, error, and duration metrics directly from your instrumented application traces.
Set up frontend observability by configuring the Faro web SDK to capture web vitals, session replay, errors, and frontend traces. This correlates browser sessions directly with backend traces for full-stack visibility into user experience.
Monitor AI and LLM applications by instrumenting calls with OpenLIT and OpenTelemetry GenAI conventions. This tracks token usage, latency, cost, and evaluation metrics, consolidating AI telemetry into your standard observability workflow.
Correlate traces, logs, and profiles in Grafana Cloud by applying mandatory resource attributes like service.name, service.namespace, and deployment.environment. This enables one-click navigation between metrics, exemplar traces in Tempo, logs in Loki, and profiles in Pyroscope.
Building service maps from span metrics requires mandatory resource attributes including service.name, service.namespace, and deployment.environment. These attributes enable Prometheus-compatible metrics stored in Mimir to generate accurate service inventory and topology views.
Configure OpenTelemetry exporters for Grafana Cloud by setting up Alloy or direct OTLP export pipelines. This routes your traces, metrics, and logs to generate span metrics, service maps, and enable trace-to-log-to-profile correlation.
MisLinkInstrument Go, Java, Node.js, Python, and .NET services to export telemetry to Grafana Cloud.
stefanbosakQuery Grafana metrics, logs, and traces in test environments.
1k-offImplement OpenTelemetry instrumentation and OTLP pipelines for Grafana telemetry.
vertivolatamImplement an observability stack with Prometheus, Grafana, OpenTelemetry, and Loki.
