kube-metrics-server-exporter provides cpu and memory metrics for Kubernetes nodes and pods, directly querying the metrics-server API /apis/metrics.k8s.io/v1beta1/{pods, nodes}

• kube_metrics_server_nodes_mem
  • Provides nodes memory information in kibibytes.
• kube_metrics_server_nodes_cpu
  • Provides nodes CPU information in nanocores.

• instance

• kube_metrics_server_pods_mem
  • Provides pods/container memory information.
• kube_metrics_server_pods_cpu
  • Provides pods/container memory information.

• pod_name
• pod_namespace
• pod_container_name

• kube_metrics_server_response_time
  • Provides API response time in seconds.

• K8S_ENDPOINT

  • Url of API of kubernetes (default kubernetes.default.svc)

• K8S_TOKEN

  • The authorization token (default ServiceAccount token)

• K8S_FILEPATH_TOKEN

  • Path of ServiceAccount token file (default /var/run/secrets/kubernetes.io/serviceaccount/token)

• K8S_CA_CERT_PATH

  • Path of Kubernetes CA certificate (default /var/run/secrets/kubernetes.io/serviceaccount/ca.crt)

• NAMES_BLACKLIST

  • A list of names from pods, containers or namespaces to exclude from metrics.

• NAMESPACE_WHITELIST

  • A list of namespace to scrape from this way you can create namespaced rolebinding instead of cluster binding. ( quite useful for larger clusters ) ( default : '' (all namespaces))

• LABEL_SELECTOR

  • A list of Label Selectors.

• --insecure-tls
  • Disables TLS verification of the Kubernetes API Server. (Not recommended in production)

If you want, you could blacklist some names of namespaces, pods or containers, you just need to apply this ConfigMap, replacing the example names:

apiVersion: v1
kind: ConfigMap
metadata:
  name: metrics-server-exporter
  labels:
    k8s-app: metrics-server-exporter
data:
  NAMES_BLACKLIST: kube-proxy,calico-node,kube2iam  # example names

You will need K8S_TOKEN and K8S_ENDPOINT to access the api-server. Use "--insecure-tls" or mount the CA certificate into the container. Kubernetes will provide the CA certificate in a Kubernetes installation.

docker run -p 8000:8000 -e "K8S_ENDPOINT=${K8S_ENDPOINT}" -e "K8S_TOKEN=${K8S_TOKEN}" vivareal/metrics-server-exporter --insecure-tls

docker buildx build --push --platform=linux/amd64,linux/arm64 -t vfabi/kube-metrics-server-exporter:latest -f Dockerfile .

Use helm chart from deploy/helm folder.

helm install --name=metrics-server-exporter --namespace kube-system deploy/helm