> ## 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.

# Cost insights

> OpenCost-powered cost visibility by namespace, workload, and node.

If [OpenCost](https://www.opencost.io/) is installed, Radar shows current and historical Kubernetes allocation cost from your existing Prometheus. The integration is passive and read-only.

## What you see

* **Cluster cost** - current hourly rate, monthly projection, and CPU, memory, storage, and network breakdowns when available.
* **Namespaces** - sortable cost rows with workload details on demand.
* **Workloads and applications** - focused CPU and memory allocation cost for Deployments, StatefulSets, and DaemonSets.
* **Nodes** - instance, region, and hourly or monthly pricing where provider data is available.
* **Trends** - historical allocation cost over 6h, 24h, or 7d with hover details.
* **Allocation use** - CPU and memory shown separately when complete usage evidence is available.

Radar presents monthly projections from the current hourly rate. Historical spend uses the selected range.

## Request guidance

The workload Cost tab can also show [Rightsizing](/docs/features/rightsizing). Rightsizing uses Prometheus demand evidence to evaluate one workload's configured requests. It is separate from OpenCost allocation accounting and does not claim guaranteed savings.

## How it auto-detects

Radar discovers Prometheus automatically or uses the `--prometheus-url` override. Cost views become available when the required OpenCost allocation metrics are queryable.

## Common gaps

Some cost categories require additional OpenCost configuration:

* **GPU pricing** - requires GPU pricing data.
* **Cloud egress** - requires cloud-provider integration.
* **Persistent volumes** - requires storage-class pricing.
* **Spot vs. on-demand** - requires provider and node metadata.

## Limitations

* Radar does not change requests, instance types, or running workloads.
* Workload and application cost currently focus on steady-state Deployment, StatefulSet, and DaemonSet workloads.
* Batch workload, storage, and network attribution may remain at namespace or cluster level.
* OSS cost data is per cluster. [Radar Cloud](/docs/quickstart-cloud) provides fleet views.

## See also

* [Rightsizing](/docs/features/rightsizing) - workload-level request guidance and methodology.
* [OpenCost integration](/docs/features/integrations/opencost) - prerequisites and source behavior.
* [Prometheus integration](/docs/features/integrations/prometheus) - metrics discovery and supported monitoring resources.