workloads-existing-brand-existing-client.example.tfvars

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# Licensed under the Apache License, Version 2.0 (the "License");
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##common variables  
## Need to pull this variables from tf output from previous infrastructure stage
project_id = "<gcp-prj-id>"

## 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          = "<cluster-name>"
cluster_location      = "us-central1"
cluster_membership_id = "" # required only for private cluster, default: cluster_name

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

## JupyterHub variables
kubernetes_namespace              = "ai-on-gke"
create_gcs_bucket                 = true
gcs_bucket                        = "<gcs-bucket>"
workload_identity_service_account = "jupyter-service-account"

# JupyterHub with IAP
add_auth                 = true
brand                    = "projects/<prj-number>/brands/<prj-number>"
support_email            = "<email>"
k8s_ingress_name         = "jupyter-ingress"
k8s_iap_secret_name      = "jupyter-iap-secret"
k8s_backend_config_name  = "jupyter-iap-config"
k8s_backend_service_name = "proxy-public"
k8s_backend_service_port = 80

domain            = "jupyter.example.com"
client_id         = "<client_id>"
client_secret     = "<client_secret>"
members_allowlist = "user:<email>,group:<email>,serviceAccount:<email>,domain:google.com"