ray-on-gke/templates/workloads.tfvars

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##common variables
## Need to pull this variables from tf output from previous platform stage
project_id = "<your project ID>"

## This is required for terraform to connect to GKE cluster and deploy workloads.
cluster_name     = "<cluster name>"
cluster_location = "us-central1"

## If terraform should create a new GKE cluster, fill in this section as well.
##    By default, a public autopilot GKE cluster will be created in the default network.
##    Set the autopilot_cluster variable to false to create a standard cluster instead.
create_cluster    = false
autopilot_cluster = true

#######################################################
####    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-sa"

# Bucket name should be globally unique.
create_gcs_bucket               = true
gcs_bucket                      = "ray-bucket-zydg"
create_ray_cluster              = true
ray_cluster_name                = "ray-cluster"
enable_grafana_on_ray_dashboard = false
enable_gpu                      = false

## IAP config - if you choose to disable IAP authenticated access for your endpoints, ignore everthing below this line.
create_brand  = false
support_email = "<email>" ## specify if create_brand=true

## Ray Dashboard IAP Settings
ray_dashboard_add_auth                 = false # Set to true when using auth with IAP
ray_dashboard_k8s_ingress_name         = "ray-dashboard-ingress"
ray_dashboard_k8s_managed_cert_name    = "ray-dashboard-managed-cert"
ray_dashboard_k8s_iap_secret_name      = "ray-dashboard-iap-secret"
ray_dashboard_k8s_backend_config_name  = "ray-dashboard-iap-config"
ray_dashboard_k8s_backend_service_port = 8265

ray_dashboard_domain            = "ray.example.com"
ray_dashboard_client_id         = ""
ray_dashboard_client_secret     = ""
ray_dashboard_members_allowlist = "user:<email>,group:<email>,serviceAccount:<email>,domain:google.com"