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CNOE Backstage

This repository contains code for the Backstage images used by the CNOE stacks.

Container Images

Container images are pushed to the GitHub Container Registry and available here.

Local Development

Use of idpbuilder is recommended for local setup. See the instructions in the idpbuilder repository for details.

Create your local cluster

Once idpbuilder is installed on your computer, create a stack that you are interested in. For example:

./idpbuilder create -p https://github.com/cnoe-io/stacks//ref-implementation

Wait for ArgoCD applications to be healthy:

$ kubectl get applications -A

NAMESPACE   NAME                  SYNC STATUS   HEALTH STATUS
argocd      argo-workflows        Synced        Healthy
argocd      argocd                Synced        Healthy
argocd      backstage             Synced        Healthy
argocd      backstage-templates   Synced        Healthy
argocd      coredns               Synced        Healthy
argocd      external-secrets      Synced        Healthy
argocd      gitea                 Synced        Healthy
argocd      keycloak              Synced        Healthy
argocd      metric-server         Synced        Healthy
argocd      nginx                 Synced        Healthy
argocd      spark-operator        Synced        Healthy

Update Backstage application config

Once all ArgoCD applications are healthy, you need to update a few fields in the app-config.yaml file.

Update control plane URL

The control plane port must be updated every time a cluster is created. Run the kubectl cluster-info command to get the control plane URL. Once you have your URL, update your app-config.yaml file at this line.

For example:

$ kubectl cluster-info

Kubernetes control plane is running at https://127.0.0.1:36463
CoreDNS is running at https://127.0.0.1:36463/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy

For this particular example output, the https://127.0.0.1:36463 above is the URL you need to use in your app-config.yaml.

Update service account token

Since tokens are generated each time the backstage service account is created, you need to update this value as well. The command to retrieve the service account token is:

kubectl -n backstage exec -it deploy/backstage -- cat /var/run/secrets/kubernetes.io/serviceaccount/token

Copy the token value and updated the app-config file at this line.

For example:

$ kubectl -n backstage exec -it deploy/backstage -- cat /var/run/secrets/kubernetes.io/serviceaccount/token

eyJhbGciOiJSUzI1NiIsImtpZCI6IkRxbDRCSnNicjFwekFqdmxwNDc5MHJqeUlFSjhxNHU0LV95OC1s...

If you do not want to place the token value in your file, you can use environment variables instead:

  1. Set this line value to be ${BACKSTAGE_SA_TOKEN}.
  2. Then export the token value:
    export BACKSTAGE_SA_TOKEN=$(kubectl -n backstage exec -it deploy/backstage -- cat /var/run/secrets/kubernetes.io/serviceaccount/token)

Update ArgoCD token

ArgoCD admin passwords are generated on each fresh installation. You need to update the configuration file accordingly. To obtain your password, run: ./idpbuilder get secrets -p argocd. Then update this line

For example:

$ ./idpbuilder get secrets -p argocd

---------------------------
Name: argocd-initial-admin-secret
Namespace: argocd
Data:
  password : abc
  username : admin

Update Gitea Credentials

Gitea admin passwords are generated on each fresh installation as well. To obtain your password, run: ./idpbuilder get secrets -p argocd. Then update this line and this line.

For example:

$ ./idpbuilder get secrets -p gitea

---------------------------
Name: gitea-credential
Namespace: gitea
Data:
  password : abc
  username : giteaAdmin

Start Backstage processes

Once the app-config.yaml file is updated, you are ready to start your backstage instance. For development purposes, using two terminal windows or tabs is recommended. You can also run them through your favorite IDE.

In the first terminal tab, install dependencies and start the backend.

yarn install
yarn run start-backend

In the first terminal tab, run the frontend.

yarn run start

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