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If OpenCost is installed, Radar surfaces a Cost view that breaks down spend by namespace, workload, and node, with trend lines and an efficiency score. No separate dashboard to set up - Radar reads OpenCost’s opencost_container_*_cost_total series from your Prometheus.

What you see

  • Top-line - total cost in the selected window, plus the change vs. the previous equivalent window.
  • By namespace - sortable, with breakdown into CPU, memory, GPU, storage, and network.
  • By workload - same axes, scoped to Deployments / StatefulSets / DaemonSets / Jobs.
  • By node - per-node cost, utilization, and idle %.
  • Efficiency - requested vs. used, surfaced both as a workload-level score and a cluster-level rollup.
  • Trends - cost over time (last 24h / 7d / 30d / custom).

How it auto-detects

Radar reads OpenCost via Prometheus - if the Prometheus auto-discovery (or manual traffic.prometheusUrl / --prometheus-url override) returns opencost_container_cpu_cost_total and opencost_container_memory_cost_total series, the Cost view appears in the sidebar. If those series aren’t queryable, the Cost view is hidden.

Common gaps

If OpenCost is misconfigured (no cloud provider integration, missing on-prem rate card), you’ll see CPU and memory dollars but not GPU, network, or persistent volume costs. Fix OpenCost and Radar picks up the new series automatically.
  • GPU pricing - needs a GPU pricing config in OpenCost.
  • Cloud egress - needs cloud-provider integration credentials.
  • Persistent volumes - needs storage-class to price mapping.
  • Spot vs. on-demand - needs node labels OpenCost can read.

RBAC

Radar’s ServiceAccount queries Prometheus via the in-cluster Service. Default rbac.create: true is sufficient - no extra permissions needed.

Limitations

  • No write actions. Radar reads OpenCost; it doesn’t change instance types or evict workloads. We’re not a cost remediation tool.
  • No multi-cluster aggregation in OSS. Costs are per-cluster. Radar Cloud rolls them up across the fleet.

See also