Upgrading Watson Machine Learning from Version 5.2 to Version 5.4

An instance administrator can upgrade Watson Machine Learning from Version 5.2 to Version 5.4.

Who needs to complete this task?

Instance administrator To upgrade Watson Machine Learning, you must be an instance administrator. An instance administrator has permission to manage software in the following projects:

The operators project for the instance: The operators for this instance of Watson Machine Learning are installed in the operators project. In the upgrade commands, the ${PROJECT_CPD_INST_OPERATORS} environment variable refers to the operators project.
The operands project for the instance: The custom resources for the control plane and Watson Machine Learning are installed in the operands project. In the upgrade commands, the ${PROJECT_CPD_INST_OPERANDS} environment variable refers to the operands project.

When do you need to complete this task?

Review the following options to determine whether you need to complete this task:

If you want to upgrade the IBM Software Hub control plane and one or more services at the same time, follow the process in Upgrading an instance of IBM Software Hub instead.
If you didn't upgrade Watson Machine Learning when you upgraded the IBM Software Hub control plane, complete this task to upgrade Watson Machine Learning.
Repeat as needed If you are responsible for multiple instances of IBM Software Hub, you can repeat this task to upgrade more instances of Watson Machine Learning on the cluster.

Information you need to complete this task

Review the following information before you upgrade Watson Machine Learning:

Version requirements: All the components that are associated with an instance of IBM Software Hub must be installed at the same release. For example, if the IBM Software Hub control plane is at Version 5.4.0, you must upgrade Watson Machine Learning to Version 5.4.0.

Environment variables

The commands in this task use environment variables so that you can run the commands exactly as written.

If you don't have the script that defines the environment variables, see Setting up installation environment variables.
To use the environment variables from the script, you must source the environment variables before you run the commands in this task. For example, run:
```
source ./cpd_vars.sh
```

Common core services: Watson Machine Learning requires the IBM Software Hub common core services.
If the common core services are not at the correct version in the operands project for the instance, the common core services are automatically upgraded when you upgrade Watson Machine Learning. The common core services upgrade increases the amount of time the upgrade takes to complete.

Before you begin

This task assumes that the following prerequisites are met:

System requirements

This task assumes that the cluster meets the minimum requirements for Watson Machine Learning.

Where to find more information
If this task is not complete, see System requirements.

In addition, if you plan to use features that require GPU, ensure that you have the appropriate type and number of GPU for Watson Machine Learning.

Where to find more information
If this task is not complete, see GPU requirements.

Workstation

This task assumes that the workstation from which you will run the upgrade is set up as a client workstation and has the following command-line interfaces:

IBM Software Hub CLI: cpd-cli
OpenShift® CLI: oc
Helm CLI: helm

Where to find more information
If this task is not complete, see Updating client workstations.

Control plane

This task assumes that the IBM Software Hub control plane is upgraded.

Where to find more information
If this task is not complete, see Upgrading an instance of IBM Software Hub.

Private container registry

If your environment uses a private container registry (for example, your cluster is air-gapped), this task assumes that the following tasks are complete:

The Watson Machine Learning software images are mirrored to the private container registry.
Where to find more information

If this task is not complete, see Mirroring images to a private container registry.
The cpd-cli is configured to pull the olm-utils-v4 image from the private container registry.
Where to find more information

If this task is not complete, see Pulling the olm-utils-v4 image from the private container registry.

GPU operators

Where to find more information
If this task is not complete, see Mirroring images to a private container registry.

Where to find more information
If this task is not complete, see Pulling the olm-utils-v4 image from the private container registry.

If you plan to use features that require GPUs, this task assumes that the operators required to use GPUs are installed.

Where to find more information
If this task is not complete, see Installing operators for services that require GPUs.

Cluster-scoped resources

This task assumes that the cluster-scoped resources, such as custom resource definitions, cluster roles, and cluster role bindings, were updated.

Where to find more information
If this task is not complete, see Updating the cluster-scoped resources for the platform and services.

Image pull secrets

This task assumes that the secrets that contain the image pull credentials for the instance exist.

Where to find more information
If this task is not complete, see Creating image pull secrets for an instance of IBM Software Hub.

Procedure

Complete the following tasks to upgrade Watson Machine Learning:

Upgrading the service
Validating the upgrade
What to do next

Upgrading the service

To upgrade Watson Machine Learning:

Log the cpd-cli in to the Red Hat® OpenShift Container Platform cluster:
```
${CPDM_OC_LOGIN}
```
Remember: CPDM_OC_LOGIN is an alias for the cpd-cli manage login-to-ocp command.

Update the operator and custom resource for Watson Machine Learning.

cpd-cli manage install-components \
--license_acceptance=true \
--components=wml \
--release=${VERSION} \
--patch_id=${PATCH_ID} \
--operator_ns=${PROJECT_CPD_INST_OPERATORS} \
--instance_ns=${PROJECT_CPD_INST_OPERANDS} \
--image_pull_prefix=${IMAGE_PULL_PREFIX} \
--image_pull_secret=${IMAGE_PULL_SECRET} \
--upgrade=true

Validating the upgrade

Watson Machine Learning is upgraded when the install-components command returns:

[SUCCESS]... The install-components command ran successfully

If you want to confirm that the custom resource status is Completed, you can run the cpd-cli manage get-cr-status command:

cpd-cli manage get-cr-status \
--cpd_instance_ns=${PROJECT_CPD_INST_OPERANDS} \
--components=wml

What to do next

The service is ready to use.