Logs, traces & metrics
rtz logs --since 15m --level ERRORrtz logs -s checkout -q 'status:5* AND @http.method:POST'rtz logs --follow # polls; the API has no log stream-q takes the Datadog-style filter language — free text, field:value, @attributes,
wildcards, ranges, AND / OR / NOT. The server rejects an unparseable query rather
than silently matching everything, which is the failure mode that quietly turns a filter into
a full scan.
Traces
Section titled “Traces”rtz trace list --since 2h --errorsrtz trace get <trace-id> # span tree, nested, errors markedrtz trace analyze <trace-id>rtz trace logs <trace-id> # logs correlated to that traceMetrics
Section titled “Metrics”rtz metrics list --entity-type K8S_PODrtz metrics query k8s.pod.memory.usage --entity-type K8S_POD --group-by k8s.pod.name --agg maxrtz metrics tags --entity-type K8S_POD --key namespacertz metrics entities --entity-type K8S_NODE--entity-type is required on the metrics endpoints. The API answers a missing one with a
500, so the CLI catches it first and names the flag.
A terminal cannot draw a curve, so metrics query summarises each series as last / min / max
plus the point count — and says when the backend rewrote the query as a per-second rate. Use
-o json for the raw points.
See Metrics for the same data in the UI.
