Chapter 2. Configuring the upgrade strategy for OpenShift AI
As a cluster administrator, you can configure either an automatic or manual upgrade strategy for the Red Hat OpenShift AI Operator.
By default, the Red Hat OpenShift AI Operator follows a sequential update process. This means that if there are several versions between the current version and the version that you intend to upgrade to, Operator Lifecycle Manager (OLM) upgrades the Operator to each of the intermediate versions before it upgrades it to the final, target version. If you configure automatic upgrades, OLM automatically upgrades the Operator to the latest available version, without human intervention. If you configure manual upgrades, a cluster administrator must manually approve each sequential update between the current version and the final, target version.
For information about supported versions, see Red Hat OpenShift AI Life Cycle.
Prerequisites
- You have cluster administrator privileges for your OpenShift cluster.
- The Red Hat OpenShift AI Operator is installed.
- You have mirrored the required container images to a private registry. See Mirroring images to a private registry for a disconnected installation.
Procedure
- Log in to the OpenShift cluster web console as a cluster administrator.
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In the Administrator perspective, in the left menu, select Operators
Installed Operators. - Click the Red Hat OpenShift AI Operator.
- Click the Subscription tab.
Under Update approval, click the pencil icon and select one of the following update strategies:
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Automatic: New updates are installed as soon as they become available. -
Manual: A cluster administrator must approve any new update before installation begins.
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- Click Save.
Additional resources
- For more information about the subscription channels that are available in version 2 of the Red Hat OpenShift AI Operator, see Installing the Red Hat OpenShift AI Operator.
- For more information about upgrading Operators that have been installed by using OLM, see Updating installed Operators in the OpenShift documentation.
