DCGM exporter metrics carry the exporter's own namespace
(cozy-gpu-operator), not the workload namespace. Recording rules that
filtered namespace!~"cozy-.*" silently dropped all DCGM series,
producing empty dashboard panels.
Replace namespace-level hardware aggregations with node-level
equivalents (grouped by Hostname), keep namespace-level allocation
rules that use kube_pod_container_resource_requests (which carries the
real workload namespace), and rename pod-level efficiency rules to
gpu-level since DCGM cannot attribute hardware metrics to individual
pods.
Signed-off-by: Arsolitt <arsolitt@gmail.com>
- gpu-fleet: cluster-wide admin view — inventory, capacity (total /
allocated / free), per-node utilization and power, throttling,
temperatures, XID errors.
- gpu-tenants: per-namespace view — live allocation, utilization,
tensor saturation, power, and 24h GPU-hours / kWh integrations for
billing inputs.
Register both under gpu/* in dashboards-infra.list so they ship as
GrafanaDashboard CRs and fall under the bats cross-check introduced
earlier on this branch.
Update examples/README to spell out which DCGM counters each of the
five gpu/* dashboards actually needs on top of the upstream default
CSV — gpu-performance needs profiling and throttling counters,
gpu-efficiency needs profiling, gpu-tenants needs only
DCGM_FI_PROF_PIPE_TENSOR_ACTIVE for its tensor panel, and gpu-fleet
and gpu-quotas work on the default counter set alone.
Signed-off-by: Arsolitt <arsolitt@gmail.com>
Arsolitt