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>
Pod-level panels on the efficiency dashboard and DCGM-level panels on
the performance dashboard ignored the $namespace template variable, so
changing it left the visualizations unchanged. Add the filter to each
query. Performance-side queries use the `$namespace|` empty-tolerant
form so host-level DCGM series without a namespace label remain
visible when a specific namespace is selected.
Signed-off-by: Arsolitt <arsolitt@gmail.com>
Align pod:tensor_saturation:avg5m with namespace:tensor_active:avg and
DCGM's native 0..1 range by dropping the * 100 from the recording rule
and multiplying at display time in gpu-efficiency.json. Also scope
pod:util_per_watt:avg5m with avg by (Hostname, gpu, UUID, namespace,
pod) so the series mirrors pod:tensor_saturation's grouping and stays
usable in topk queries.
Signed-off-by: Arsolitt <arsolitt@gmail.com>
- gpu-efficiency: scope Tensor Saturation, Util-per-Watt and Power
Throttle stats to the $namespace selector. Cluster-wide means were
misleading when a user had narrowed the dashboard to specific
tenants — the headline numbers lied relative to the panels below.
- gpu-fleet: show per-node power draw as % of combined TDP cap
(DCGM_FI_DEV_POWER_MGMT_LIMIT) instead of raw watts. Thresholds
(60 / 80 %) generalize across GPU SKUs without per-model tuning.
- gpu-quotas: read cluster:gpu_count:allocated from the recording
rules instead of recomputing sum(kube_pod_container_resource_requests)
inline. Keeps the dashboard aligned with the canonical definition
in gpu-recording.rules.yaml so the two can't drift.
Signed-off-by: Arsolitt <arsolitt@gmail.com>
Strip Grafana export boilerplate (__inputs, __elements, __requires,
default annotations, embedded datasource inputs) and tighten panel
layouts across the three GPU dashboards. All three continue to use
the $ds_prometheus template variable.
Assisted-By: Claude <noreply@anthropic.com>
Signed-off-by: Arsolitt <arsolitt@gmail.com>
Revise gpu-performance and add two new dashboards, registered in
dashboards-infra.list:
- gpu-efficiency (GPU Efficiency Score) — utilization vs. capacity
and workload efficiency signals.
- gpu-quotas (GPU Quotas & Allocation) — per-namespace requested vs.
used GPUs for tenant capacity planning.
All three dashboards use the $ds_prometheus template variable, per
the project convention.
Assisted-By: Claude <noreply@anthropic.com>
Signed-off-by: Arsolitt <arsolitt@gmail.com>
