values-example.yaml

#@data/values
---
ingress:
  domain: <INGRESS-DOMAIN>
  contour_tls_namespace: eduk8s
  contour_tls_secret: eduk8s-cert-tls
concourse:
  username: test
  password: test
  #! Optionally, you can specify a node selector if you only want to deploy Concourse workers on certain nodes
  #!   requiredNodeType: concourse
argocd:
  adminPassword: <PASSWORD> #! See how to get the auto generated password here: https://github.com/argoproj/argo-cd/blob/master/docs/getting_started.md#4-login-using-the-cli
harbor:
  adminPassword: Harbor12345
  diskSize: 50Gi
  #! Optionally, you could provide an s3 section instead of diskSize to use S3 to back Harbor
  #!   s3:
  #!     region: us-east-1
  #!     regionendpoint: http://freenas #! Not needed for AWS S3
  #!     access-key-id: access-key
  #!     secret-access-key: secret-key
  #!     bucket: bucket-name
  #!     secure: false #! set to true for HTTPS endpoints/AWS S3
gitea:
  adminPassword: <PASSWORD>
registry:
  dockerhub: docker.io
psp:
  cluster_role:
observability:
  url: https://vmware.wavefront.com
  apiToken: <wavefront-api-token>
git:
  account: tanzu-end-to-end
  branch: main
  #! Optionally, you can specify a Github token. This will be used by Harbor's Trivy scanner to avoid hitting rate limites
  #!   gitHubToken: <token>

#! Optionally, you can specify the passwords for the educates training portal. If not they will be auto generated
#! eduk8s:
#!  adminPassword: <password>
#!  robotPassword: <password>