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KubeCost¶

Configuration¶

Prerequisites¶

Install K8S environment
Install KubeCost
Install DataKit
Install Prometheus Operator

CRD Configuration¶

KubeCost has exposed Metrics, and all that is needed is for DataKit to discover these Metrics and report them.

Create kubecost-serverMonitor.yaml

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: kubecost-metrics
  labels:
    app.kubernetes.io/name: cost-analyzer
  namespace: kubecost
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: cost-analyzer
  endpoints:
  - port: metrics

Execute

kubectl apply -f kubecost-serverMonitor.yaml

DataKit Configuration¶

If already enabled, please ignore

Enable DataKit Service Monitor auto-discovery

Add env : ENV_INPUT_CONTAINER_ENABLE_AUTO_DISCOVERY_OF_PROMETHEUS_SERVICE_MONITORS

apiVersion: apps/v1
kind: DaemonSet
metadata:
  labels:
    app: daemonset-datakit
  name: datakit
  namespace: datakit
spec:
  ...
  template:
    ...
    spec:
      ...
      containers:
      - env:
        ...
        - name: ENV_INPUT_CONTAINER_ENABLE_AUTO_DISCOVERY_OF_PROMETHEUS_SERVICE_MONITORS
          value: "true"
        ...

Restart DataKit

Restart DataKit

Metrics¶

`kubecost-cost-analyzer`¶

Metric	Description
container_cpu_allocation	Container CPU allocation
container_gpu_allocation	Container GPU allocation
container_memory_allocation_bytes	Container memory allocation
pv_hourly_cost	PersistentVolume hourly cost
node_total_hourly_cost	Node total hourly cost
node_cpu_hourly_cost	Node CPU hourly cost
node_ram_hourly_cost	Node RAM hourly cost
node_gpu_hourly_cost	Node GPU hourly cost