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
For an overview of how to conect Kubectl to a cluster see the following article

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