Documentation for automated readers
A curated documentation index is available at: https://grafana.com/llms.txt
A complete documentation index is available at: https://grafana.com/llms-full.txt
These indexes can help with page discovery before fetching individual documents.
This page is also available in Markdown, which may be easier for automated readers and AI tools to parse than HTML. The Markdown version is available at https://grafana.com/docs/grafana-cloud/observe-and-act/monitor-applications/application-observability-kg/service-detail/metrics.md, or by sending Accept: text/markdown to https://grafana.com/docs/grafana-cloud/observe-and-act/monitor-applications/application-observability-kg/service-detail/metrics/. For broader documentation discovery, the curated index is available at https://grafana.com/llms.txt and the complete index is available at https://grafana.com/llms-full.txt.
Metrics
The Metrics tab provides a metrics explorer scoped to the selected service. It displays all metrics associated with the service, including knowledge graph-generated asserts:* metrics for insights such as error ratios, anomaly thresholds, and predictions.
Data source and filters
The Metrics tab automatically configures:
- Data source: your Grafana Cloud Prometheus instance.
- Filters: pre-populated with
service,namespace, andasserts_envlabels matching the current service.
You can add additional label filters using the + label = value button.
Browse metrics
Metrics display in a grid of time-series previews. Use the controls at the top to:
- Search: filter metrics by name. Type
?to ask the Grafana Assistant for help finding relevant metrics. - Sort by: order metrics by name or other criteria.
- View: switch between Grid and Rows layout.
Each metric card shows:
- The metric name
- A small time-series preview
- A Select button to explore the metric in more detail
Common metrics
Typical metrics you’ll find include:
asserts:alerts: active alert state for the serviceasserts:error:ratio: calculated error ratioasserts:error:ratio:prediction: predicted error ratio based on baselinesasserts:error:ratio:anomaly_upper_threshold: upper threshold for anomaly detectionasserts:error:ratio:service:stddev: standard deviation of the error ratio
Next steps
- Use Service overview for a curated view of the most important RED metrics.
- Use the Grafana Assistant (type
?in search) to find metrics relevant to a specific investigation.
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