KubeCost¶
Installation Configuration{#config}¶
Preconditions¶
CRD configure¶
KubeCost has exposed the metrics, just let DataKit discover the metrics and report them.
- Add
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
- Run
kubectl apply -f
kubecost-serverMonitor.yaml
DataKit configure¶
If enabled, please ignore.
- Enable DataKit Service Monitor automatic 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¶
Metric¶
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 | Total hourly cost of nodes |
| node_cpu_hourly_cost | Node CPU hourly cost |
| node_ram_hourly_cost | Node RAM hourly cost |
| node_gpu_hourly_cost | Node GPU hourly cost |