Administering Watson Machine Learning

You can perform administrative tasks for Watson Machine Learning , such as exporting audit records, scaling the service, or migrating project assets. Ensure that you have the required permissions to complete tasks.

Service configuration

Task	Required permissions	Details
Connecting to Watson Machine Learning	Instance administrator	Configure Watson Machine Learning Accelerator to work with Watson Machine Learning to build, train, and deploy deep learning experiments.
Customizing a runtime to use a MIG-enabled profile	Instance administrator	Update Watson Machine Learning nodes for newer runtime versions.

Security

Task	Required permissions	Details
Exporting Cloud Pak for Data audit records to a security information and event management solution	Not supported
Audit events for Watson Machine Learning	Instance administrator

Resource management

Task	Required permissions	Details
Manually scaling resources for services	Cluster administrator or Instance administrator	Adjust Watson Machine Learning by scaling resources to support high availability or to increase processing capacity. Resources can be scaled based on predefined resource configurations.
Automatically scaling resources for services	Cluster administrator or Instance administrator	Enable autoscaling with the OpenShift® Horizontal Pod Autoscaler (HPA). The HPA changes the resource allocation of services by increasing or decreasing the number of pods in response to CPU or memory consumption.
Shutting down and restarting services	Instance administrator	Manually shut down Watson Machine Learning to prevent it from using resources. You can restart the service when you need to use it again.

Backup and restore

Task	Required permissions	Details
Backing up and restoring Cloud Pak for Data	Cluster administrator	Choose the correct method to back up and restore Cloud Pak for Data.