ccu, Administrators
684
edits
Changes
Jump to navigation
Jump to search
m
no edit summary
# Log in to the cluster and configure kubectl, the command line tool to talk to Kubernetes, to use your login credentials.
# Create a persistent container to access the global file systemsystems, and mount the Ceph volumes inside it. Use this container to transfer code and data to the cluster and back.
# (optional): Create your own custom container image with special libraries etc. which you need to run your code.
# Create a GPU-enabled container based on your own image or one of the ready-made images with Deep Learning toolkits or whatever workload you want to run.
We will cover these points in more detail below.
== Log in to the cluster and configure kubectl ==
The login page to the cluster is [https://ccu-k8s.inf.uni-konstanz.de here]. Enter your credentials, you will get back an authorization token.
'''Note 1:''' There will very likely be occasions where your login credentials become invalid - they might time out, services might have been updated, certificates have been renewed, etc. In this case, please login again and update your kubeconfig with the new credentials. You then only need to update the block with your user data. If this still does not work, please report immediately, as there might be a problem with the login services.
'''Note 2:''' It is not supported to store separate credentials on two different computers. What will happen in this case is that one of them will consume the refresh token, which will then become invalid on the other one. If you need to access the cluster from a second computer, it is advised to use a ssh connection to your primary one where you store the credentials.
== Create a pod to access the file systems ==
== Pod configuration on the new cluster ==
