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Installing Kubecost on GKE Autopilot Clusters
Installing Kubecost on a GKE Autopilot cluster is similar to other cloud providers with Helm v3.1+, with a few changes. Autopilot requires the use of Google Managed Prometheus service, which generates additional costs within your Google Cloud account.
helm install kubecost/cost-analyzer -n kubecost -f values.yamlYour values.yaml files must contain the below parameters. Resources are specified for each section of the Kubecost deployment, and Pod Security Policies are disabled.
kubecostProductConfigs:
clusterName: "<clusterName>" # used for display in Kubecost UI
kubecostModel:
promClusterIDLabel: cluster # warning: usage and efficiency will show as zero without this setting enabled
resources:
requests:
cpu: 500m
memory: 512Mi
kubecostFrontend:
resources:
requests:
cpu: 250m
memory: 55Mi
global:
gmp:
enabled: true # If true, kubecost will be configured to use GMP Prometheus image and query from Google Cloud Managed Service for Prometheus.
gmpProxy:
projectId: <GCP Project ID>
serviceAccount:
annotations:
iam.gke.io/gcp-service-account: <GCP Service Account with Metrics Writer/Reader Permissions>
prometheus:
server:
image:
repository: gke.gcr.io/prometheus-engine/prometheus
tag: v2.41.0-gmp.4-gke.1
global:
external_labels:
cluster_id: <GKE Autopilot Cluster Name> # cluster_id should be unique for all clusters and the same value as .kubecostProductConfigs.clusterName
podSecurityPolicy:
enabled: false
configmapReload:
prometheus:
resources:
requests:
cpu: 250m
memory: 256Mi
nodeExporter:
enabled: false
serviceAccounts:
nodeExporter:
create: false
server:
annotations:
iam.gke.io/gcp-service-account: <GCP Service Account with Metrics Writer/Reader Permissions>
networkCosts:
enabled: false
podSecurityPolicy:
enabled: false
grafana:
rbac:
pspEnabled: false
resources:
requests:
cpu: 250m
memory: 128Mi
sidecar:
resources:
requests:
cpu: 250m
memory: 384Mi
Open the OperatorConfig on your Autopilot Cluster resource for editing:
kubectl -n gmp-public edit operatorconfig config
Add the following collection section to the resource:
apiVersion: monitoring.googleapis.com/v1
kind: OperatorConfig
metadata:
namespace: gmp-public
name: config
collection:
kubeletScraping:
interval: 30s
Save the file and close the editor. After a short time, the Kubelet metric endpoints will be scraped and the metrics become available for querying in Managed Service for Prometheus.
Last modified 1mo ago