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/services/performance.md, or by sending Accept: text/markdown to https://grafana.com/docs/grafana-cloud/observe-and-act/monitor-applications/application-observability-kg/services/performance/. 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.
Performance view
The Performance tab in the services catalog displays key performance indicators for all discovered services. It provides an at-a-glance view of service health using RED metrics and knowledge graph insights.
Columns
The performance table displays the following columns:
| Column | Description |
|---|---|
| Insights | Colored rings indicating active knowledge graph insights for the service (Saturation, Amend, Anomaly, Failure, Error). |
| Name | The service name and namespace, derived from OTel resource attributes. |
| Technology | The detected technology or language, inferred from telemetry.sdk.language. |
| Latency P95 | The 95th percentile request latency with a sparkline trend. |
| Error Ratio % | The percentage of requests resulting in errors with a sparkline trend. |
| Request Rate | Requests per second with a sparkline trend. |
Insight rings
Each service displays colored insight rings based on the knowledge graph’s insight categories:
- Saturation: resource utilization approaching limits
- Amend: configuration changes detected
- Anomaly: unusual behavior patterns
- Failure: service failures
- Error: elevated error rates
For details on how insights work, refer to the knowledge graph insights documentation.
RED metrics
The RED method (Rate, Errors, Duration) provides a consistent framework for monitoring request-driven services:
- Rate: the number of requests per second the service handles.
- Errors: the percentage of requests that fail.
- Duration: the time it takes to process a request (shown as P95 latency).
These metrics are generated from span metrics. For details on how they’re produced, refer to Set up instrumentation.
Next steps
- Click a service name to open its service detail page.
- Switch to the Instrumentation quality tab to assess data coverage.
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