Instrumentation quality

The Instrumentation quality tab in the services catalog shows how well each service is instrumented and identifies gaps that reduce the value you get from Application Observability.

Columns

The instrumentation quality table displays the following columns:

Column	Description
Insights	Colored insight rings for the service.
Name	The service name and namespace.
Quality	A progress bar and rating (for example, “Very good”) indicating overall instrumentation completeness.
Failing checks	A summary of which checks are failing for the service (for example, “Service graph metrics presence +3”).
Quality report	A link to the service’s detailed quality report.

Filter by check type

Use the left panel to filter services by specific failing checks:

Cardinality breach: high-cardinality span names detected
K8s labels: missing Kubernetes resource attributes
Mixed histograms: inconsistent histogram types across sources
Service graph metrics presence: service graph metrics not found
Service logs: no logs correlated to the service
Service name: issues with service naming (slashes or duplicates)
Service Profiles: no profiling data found
Span metrics k8s labels presence: span metrics missing K8s labels
Span metrics presence: span metrics not found
Unique service source: duplicate metrics from multiple sources

Export data

Click Download CSV to export the instrumentation quality data for all services.

Next steps

Click Quality report for a service to view detailed failing and passing checks with remediation guidance.
Refer to Set up instrumentation for details on required metrics and attributes.