Chapter 2. New features and enhancements
This section describes new features and enhancements in Red Hat OpenShift Data Science 2.4.
2.1. New features
- Redesigned Red Hat OpenShift Data Science Operator
- This release introduces a redesigned version of the Red Hat OpenShift Data Science Operator. The redesigned Operator gives you the flexibility to install only the components that you need for your specific workloads, instead of installing the entire OpenShift Data Science product. To learn more about how to customize your installation, see Overview of installing and deploying OpenShift Data Science. This feature was first introduced in OpenShift Data Science 2.4.
2.2. Enhancements
This section describes enhancements to existing features in Red Hat OpenShift Data Science.
- Support for duplication of custom model-serving runtimes
- In earlier releases, you could duplicate a provided model-serving runtime. You can now also duplicate a custom model-serving runtime. This enhancement was first introduced in OpenShift Data Science 2.4.
- Support for pipeline actions from the Runs home page
- In earlier releases, you could clone or stop a pipeline run from the pipeline Run details page only. You can now also clone or stop a pipeline run from the Actions menu on the Runs home page. This enhancement was first introduced in OpenShift Data Science 2.4.
- Improved user experience for custom notebooks
If you have administrator privileges, you can add custom notebook images to your OpenShift Data Science environment by clicking Settings
It is now easier to find your resource in the OpenShift Container Platform console:
-
The resource name has changed from
byon-########tocustom-{your name}. - You can use the new copy feature to copy the name, and then paste the name into the Search page in the OpenShift Container Platform console.
-
The resource name has changed from
- Simple registry failures are detected earlier, preventing the creation of invalid custom images.
When you add metadata to your images, the software and package flows are improved:
- You can use keyboard navigation.
- Pressing the Enter key brings you to the next page instead of completing the current page, which reduces the number of manual clicks.
This enhancement was first introduced in OpenShift Data Science 2.4.
- New method to send documentation feedback
In earlier releases, you could use the Direct Documentation Feedback feature in the Customer Portal to send feedback on the documentation. The Direct Documentation Feedback feature is no longer available in the Customer Portal.
In this release, the new method to send documentation feedback is as follows:
- Open a Jira ticket.
- In the Summary field, enter a descriptive title.
- In the Description field, enter your suggestion for improvement. Include links to the relevant parts of the documentation.
- Click Create at the end of the dialog. A documentation issue will be created and routed to the appropriate documentation team.
This enhancement was first introduced in OpenShift Data Science 2.4.
