ray-on-gke/templates/tfvars_examples/raycluster-with-workload-identity.tfvars

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##common variables
## Need to pull this variables from tf output from previous platform stage
project_id = "andrewsy-gke-dev"

## this is required for terraform to connect to GKE master and deploy workloads
create_cluster   = false # this flag will create a new standard public gke cluster in default network
cluster_name     = "rag-demo-us-east4"
cluster_location = "us-east4"

#######################################################
####    APPLICATIONS
#######################################################

## GKE environment variables
kubernetes_namespace = "ai-on-gke"

# Creates a google service account & k8s service account & configures workload identity with appropriate permissions.
# Set to false & update the variable `workload_identity_service_account` to use an existing IAM service account.
create_service_account            = true
workload_identity_service_account = "ray-service-account-dkfjadf"

# Bucket name should be globally unique.
create_gcs_bucket               = true
gcs_bucket                      = "<add-your-bucket>"
create_ray_cluster              = true
ray_cluster_name                = "ray-cluster"
enable_grafana_on_ray_dashboard = false