Skip to main content

Documentation Index

Fetch the complete documentation index at: https://radarhq.io/docs/llms.txt

Use this file to discover all available pages before exploring further.

OpenCost is a CNCF tool for Kubernetes cost monitoring, exposing cloud provider pricing and workload resource allocation as Prometheus metrics. Radar discovers if OpenCost metrics are available in the already-discovered Prometheus. If OpenCost is installed and scraping into Prometheus, cost data appears automatically with no additional configuration. The integration is passive and read-only.

​
What Radar Shows

Resource Costs Dashboard Cost Card: Cluster hourly cost and projected monthly cost, top 5 most expensive namespaces with a horizontal bar chart. Clicking navigates to the full Cost Insights view. Cost Insights View (/cost):
  • Header: cluster hourly/monthly cost, efficiency %, idle cost projection
  • Resource cost split bar: CPU / Memory / Storage percentage breakdown
  • Cost trend chart with 6h/24h/7d range selector and per-namespace hover tooltips
  • Namespace breakdown table (sortable by cost, efficiency, CPU/memory split) - click any row to expand per-workload costs on demand
  • Node costs table: instance type, region, and hourly/monthly pricing per machine
  • Efficiency color coding: green (50%+), amber (25–50%), red (below 25%)

​
Prerequisites

  1. OpenCost (or Kubecost) deployed in your cluster, with its metrics being scraped by Prometheus
OpenCost cost data is not CRD-based - no custom resources are required. Cost views appear automatically when metrics are detected; they are hidden when no OpenCost metrics are found in Prometheus.