On-Premises Pricing Configuration

On-premises cluster pricing is supported in OpenCost by providing default prices for node data via the default.json.

{
    "provider": "custom",
    "description": "Default prices based on GCP us-central1",
    "CPU": "0.031611",
    "spotCPU": "0.006655",
    "RAM": "0.004237",
    "spotRAM": "0.000892",
    "GPU": "0.95",
    "storage": "0.00005479452",
    "zoneNetworkEgress": "0.01",
    "regionNetworkEgress": "0.01",
    "internetNetworkEgress": "0.12"
}

This file is loaded when the OpenCost starts up, providing default prices. You may verify these values by querying Prometheus:

kubectl port-forward -n prometheus-system service/prometheus-server 9003:80
curl -s 'http://localhost:9003/api/v1/query?query=node_cpu_hourly_cost' | jq '.data.result[0]'
{
  "metric": {
    "__name__": "node_cpu_hourly_cost",
    "instance": "mom.bottlebru.sh",
    "instance_type": "k3s",
    "job": "opencost",
    "node": "mom.bottlebru.sh",
    "provider_id": "k3s://mom.bottlebru.sh"
  },
  "value": [
    1675411231.44,
    "0.031611"
  ]
}

Similarly you can query node_ram_hourly_cost, node_total_hourly_cost, and pv_hourly_cost.

Modified Default.json Example

You can update the prices in the default.json file and rebuild your container with the modified source (make sure permissions are 644 on the default.json).

{
    "provider": "custom",
    "description": "Modified prices based on arbitrary whims",
    "CPU": "1.25",
    "spotCPU": "0.006655",
    "RAM": "0.50",
    "spotRAM": "0.000892",
    "GPU": "0.95",
    "storage": "0.25",
    "zoneNetworkEgress": "0.01",
    "regionNetworkEgress": "0.01",
    "internetNetworkEgress": "0.12"
}

produces output similar to

kubectl port-forward -n prometheus-system service/prometheus-server 9003:80
curl -s 'http://localhost:9003/api/v1/query?query=node_cpu_hourly_cost' | jq '.data.result[0]'
{
  "metric": {
    "__name__": "node_cpu_hourly_cost",
    "instance": "mom.bottlebru.sh",
    "instance_type": "k3s",
    "job": "opencost",
    "node": "ndnd.bottlebru.sh",
    "provider_id": "k3s://mom.bottlebru.sh"
  },
  "value": [
    1675416174.822,
    "1.25"
  ]
}

This is reflected in the OpenCost UI with substantially higher CPU, RAM and PV costs than before the update.

Custom pricing using the OpenCost Helm Chart

Method 1

You can either create your own ConfigMap containing your own pricing as structured below:

apiVersion: v1
kind: ConfigMap
metadata:
  name: CONFIGMAP_NAME_HERE
data:
  default.json: |
    {
      "provider": "custom",
      "description": "Modified prices based on arbitrary whims",
      "CPU": "1.25",
      "spotCPU": "0.006655",
      "RAM": "0.50",
      "spotRAM": "0.000892",
      "GPU": "0.95",
      "storage": "0.25",
      "zoneNetworkEgress": "0.01",
      "regionNetworkEgress": "0.01",
      "internetNetworkEgress": "0.12"
    }

then reference the ConfigMap created previously by providing helm overrides during install.

opencost:
  customPricing:
    # -- Enables custom pricing for on-premise setup.
    enabled: true
    configmapName: CONFIGMAP_NAME_HERE
    # -- Path for the pricing configuration.
    configPath: /tmp/custom-config
    # -- Configures the pricing model provided in the values file.
    createConfigmap: false

You can us this to overwrite pricings for your cloud provider in case you want to consider custom pricing agreements and/or benefits like reserved instances or licensing cost. In case you decide to to this make sure to provide the "correct" configmapName since OpenCost relies on distinct names for pricing configuration.

Provider	Filename
Azure	azure.json
AWS	aws.json
GCP	gcp.json
Scaleway	scaleway.json
Alibaba	alibaba.json

Method 2

Provide your custom pricing via helm overrides during install.

opencost:
  customPricing:
    # -- Enables custom pricing for on-premise setup.
    enabled: true
    configmapName: custom-pricing-model
    # -- Path for the pricing configuration.
    configPath: /tmp/custom-config
    # -- Configures the pricing model provided in the values file.
    createConfigmap: true
    # -- More information about these values here: https://www.opencost.io/docs/configuration/on-prem#custom-pricing-using-the-opencost-helm-chart
    costModel:
      description: Modified prices based on your internal pricing
      CPU: 1.25
      spotCPU: 0.006655
      RAM: 0.50
      spotRAM: 0.000892
      GPU: 0.95
      storage: 0.25
      zoneNetworkEgress: 0.01
      regionNetworkEgress: 0.01
      internetNetworkEgress: 0.12

On Premises Cloud Costs Configuration

There is currently no support for integrating on premises pricing.