Pulling the `olm-utils-v2` image from the private container registry

If the olm-utils-v2 image is available in the private container registry, you must update the cpd-cli to pull the image from the private container registry.

Installation phase: Setting up a client workstation; Setting up a cluster; Collecting required information; Preparing to run installs from a private container registry; Preparing the cluster for Cloud Pak for Data; Preparing to install an instance of Cloud Pak for Data; Installing an instance of Cloud Pak for Data
Who needs to complete this task?: All administrators Any user who is involved in installing Cloud Pak for Data must complete this task on their workstation.
When do you need to complete this task?: One-time setup If you pull images from a private container registry, complete this task before you run the cpd-cli manage commands against a cluster in a restricted network.

Before you begin

A private container registry administrator must complete Mirroring IBM Cloud Pak for Data images to a private container registry.
You must have the cpd-cli installed on the workstation where you complete this task. For details, see Installing the IBM Cloud Pak for Data command-line interface.

Procedure

Update the environment variables script on your workstation to include the OLM_UTILS_IMAGE environment variable.

x86-64 clusters

export OLM_UTILS_IMAGE=${PRIVATE_REGISTRY_LOCATION}/cpopen/cpd/olm-utils-v2:${VERSION}

ppc64le clusters

export OLM_UTILS_IMAGE=${PRIVATE_REGISTRY_LOCATION}/cpopen/cpd/olm-utils-v2:${VERSION}.ppc64le

s390x clusters

export OLM_UTILS_IMAGE=${PRIVATE_REGISTRY_LOCATION}/cpopen/cpd/olm-utils-v2:${VERSION}.s390x

Remember: You must source the environment variables each time you open a new bash prompt. For example:

source ./cpd_vars.sh

Results

When you run the

cpd-cli
manage

commands, the workstation will automatically pull the olm-utils-v2 image from the private container registry.

What to do next

Now that you've pulled the olm-utils-v2 image, you're ready to complete Preparing your cluster for IBM Cloud Pak for Data.