Chapter 1. Overview of upgrading OpenShift Data Science self-managed
As a cluster administrator, you can configure the Red Hat OpenShift Data Science Operator to upgrade automatically or manually.
Upgrading directly from the Red Hat OpenShift Data Science self-managed Beta version to the Generally Available (GA) release is not supported. See Uninstalling Red Hat OpenShift DataScience self-managed Beta version prior to installing a General Availability (GA) release for more information.
- If you choose automatic updates, when a new version of the Red Hat OpenShift Data Science Operator is available, Operator Lifecycle Manager (OLM) automatically upgrades the running instance of your Operator without human intervention.
- If you select manual updates, when a new version of the Red Hat OpenShift Data Science Operator is available, OLM creates an update request.
A cluster administrator must manually approve the update request to update the Operator to the new version. See Manually approving a pending Operator upgrade for more information about approving a pending Operator upgrade to remain on a supported version of OpenShift Data Science self-managed.
Red Hat supports the current release version and three previous release versions of OpenShift Data Science self-managed. For example, if version 1.24 is the latest version, then versions 1.23, 1.22, and 1.21 remain supported, and version 1.20 and older no longer receive support.