# This holds instructions on how to setup a GKE cluster and link it to to Azure Arc

For an overview of setting up a cluster please see [the following article](https://cloud.google.com/kubernetes-engine/docs/deploy-app-cluster)
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For an overview of how to conect Kubectl to a cluster see [the following article](https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl#overview)

## Create a new cluster and connect to it

Start a cluster from the UI in Google cloud, make sure to create a node cluster with the following minimal specs

- 3 nodes
- 4 VCPU's per node
- 16GB RAM per node

You wil also need the following IAM permissions to be able to execute the commands needed

- "Kubernetes Engine Admin" = this is set at the seagen-devops account for your user through IAM
- Kubectl createclusterrolebinding "your-name"-cluster-admin-binding --clusterrole=cluster-admin --user="your-email-or-user"

## Install gcloud locally or use a cloud shell in the UI to run the following commands

To connect to the cluster run the following commands:

- gcloud components install gke-gcloud-auth-plugin
- gcloud config set account seagen-devops
- gcloud auth login
- gcloud config set project seagen-devops
- gcloud container clusters get-credentials "cluster-name" --region="region"

Then we can run kubectl commands on the GKE

- kubectl get namespaces

## Hook it up to ARC, this will be run locally or on the Azure side:

- Az connectedk8s connect --name "your-arc-gke-name" --resource-group "resource-group"

## Once the cluster is conected, you can move on to install the data controller and app services extensions with a new location

See file install-extensions.md