Bring Your Own Kubernetes (BYOK8s) Upgrade¶
Contact the Anaconda implementation team before you begin for assistance upgrading your version of Anaconda Enterprise 5. It is intended for you to follow along with these instructions as an Anaconda Implementation team member guides you through the upgrade process. They will provide you with a Helm Chart archive that contains all the necessary components needed for upgrading.
Have all users save their work, stop any open sessions, jobs, and deployments, and log out of the platform prior to the upgrade process. Any sessions, deployments, or jobs not stopped prior to the upgrade process will not be using the latest docker images and must be restarted manually post upgrade.
Upgrade your BYOK8s cluster by performing the following steps:
Log in to the service account on the Administrative Server running your Anaconda Enterprise software.
Unpack the Helm Charts provided by Anaconda onto the Administrative Server:
# Replace <HELM_CHARTS> with the Helm Charts you received from Anaconda tar xvzf <HELM_CHARTS>
Save your current configurations with the
extract_config.shscript delivered with your Helm Chart by running the following command:
# Replace <NAMESPACE> with the namespace Anaconda Enterprise is installed in NAMESPACE=<NAMESPACE> ./extract_config.sh
extract_config.shscript creates a file called
helm_values.yamland saves it in the directory where the script was run.
Verify the information captured in
helm_values.yamlfile is correct and contains all of your current cluster configuration settings.
Begin the upgrade by running the following command:
helm upgrade --values ./helm_values.yaml anaconda-enterprise ./Anaconda-Enterprise/
If the upgrade is successful, your output will look like this:
Release "anaconda-enterprise" has been upgraded. Happy Helming! NAME: anaconda-enterprise LAST DEPLOYED: Wed Dec 7 21:52:34 2022 NAMESPACE: aaron STATUS: deployed REVISION: 10 TEST SUITE: None
The duration of the upgrade depends on both the cluster node count and the speed of the new docker images loading into each node. You can view the status of the upgrade process by running the following command:
kubectl get pods
Once all pods display a Running status and each pod is running all their containers, you may return to using the cluster as normal.