A new Satellite card is now available on the Details tab on the System Details page. The card displays key Red Hat Satellite metadata coming from system tags, which can help you to quickly identify and filter systems by Satellite configuration attributes.

Each field value is clickable and redirects to the Inventory list view with the corresponding Satellite tag filter automatically applied.

The Satellite card is displayed only when Satellite-related tags are present on the system. If individual tags are unavailable, their values display as N/A.

Users can now subscribe to a periodic, aggregated email report that summarizes upcoming Red Hat Enterprise Linux (RHEL) support and lifecycle changes across all connected systems. Delivered directly to your inbox at the start of each month, this summary ensures that infrastructure teams can anticipate platform adjustments in advance, rather than reacting to daily alerts.

The monthly email report covers the following topics:

To subscribe to the monthly summary reports, navigate to User Preferences and enable the monthly aggregated report in Lifecycle under the Red Hat Enterprise Linux section.

Pen Drive is a disconnected variant of OpenShift Container Platform advisor, and is available as a Technology Preview. It now includes kube-compare functionality for template-based cluster drift validation in a Knative-native workflow.

This enhancement expands the existing disconnected cluster checking capabilities that were originally developed in collaboration with Nokia.

For more information about Pen Drive, see This content is not included.Pen Drive powered by Red Hat Lightspeed.

Cost management now includes a comprehensive This content is not included.API cheat sheet designed to help users integrate cost data with external platforms. The guide includes API examples and a Bruno (a git-friendly open source tool similar to Postman) collection to simplify the exploration and automation of cost management APIs.

The following are examples of common external platforms:

Because cost management is API-first, all functionality that is available through the user interface is also available through the API.

New sample integrations demonstrate how cost management data can be consumed by external tools.

Three Content from github.com is not included.reference implementations are available for Grafana:

A Content from github.com is not included.sample integration with Lago demonstrates how to do the following tasks:

These integrations complement the existing Content from github.com is not included.PowerBI sample integration.

For more information about these integrations, see the upstream Content from project-koku.github.io is not included.Project Koku.

The cost management learning library covers the most common onboarding and operational questions.

There are three new videos:

The following videos were updated:

Cost management now provides efficiency scores at the fleet, cluster, and namespace levels. These scores compare requested resources with actual consumption to help identify opportunities to improve utilization.

Each score includes estimated savings potential, enabling platform teams to prioritize optimization efforts and track improvements over time.

This feature helps organizations promote more efficient resource allocation and reduce infrastructure waste across OpenShift Container Platform environments.

Cost management now supports NVIDIA Multi-Instance GPU (MIG) environments. MIG technology enables a single physical GPU to be partitioned into multiple isolated GPU instances.

Cost management automatically detects GPU slices and allocates GPU costs proportionally to the workloads that consume them. The update provides more accurate GPU cost attribution without additional configuration from users.

With the release of RHEL 10.2 and RHEL 9.8, the distribution method for updates to insights-core is changing. The updates will now be delivered as standard RPM packages in the official Red Hat Enterprise Linux repositories. The insights-client continues to be delivered as an RPM package. As a result of this change, the insights-client will no longer automatically update insights-core during its operation.

A new, tailored SELinux policy will additionally be deployed on systems to ensure that both the insights-client and insights-core operate strictly within a fully defined and confined SELinux security context.

For more information about this update, see the Security improvements and new distribution method for insights-client KB article.

The Inventory UI has been reworked to align with platform standards and to improve rendering performance. This redesign lays the groundwork for upcoming capabilities such as column management and customizable views.

Users can now try the new experience in pre-production. To enable the Preview mode in the Red Hat Hybrid Cloud Console, use the toggle at the top of the screen. Provide your feedback to help refine the experience further.

By combining image blueprints with Content Templates, users now can create a consistent RHEL environment from image build through deployment and ongoing management.

A Content Template defines the repositories and packages that make up your standard operating environment (SOE). Associating a Content Template with an image blueprint ensures repeatable builds of an image by restricting image creation to approved repositories and packages. Systems deployed from those images remain aligned to the same content set.

When updates to the SOE are required, you can update the Content Template, rebuild the image, and apply updates consistently across deployed systems.

For more information about Content Templates, see Managing content templates.

Image Builder now supports the inclusion of packages and drivers from add-on repositories, enabling users to build RHEL images optimized for AI hardware acceleration without requiring manual post-deployment configuration.

Supported repositories:

This enhancement streamlines deployment workflows for AI-enabled systems and other specialized workloads.

Malware Detection in Red Hat Lightspeed now integrates with CrowdStrike, expanding malware coverage for RHEL scans.

Users can now use over 2400 CrowdStrike malware signatures with existing IBM X-Force intelligence, providing broader threat detection coverage and a unified view of findings directly in the Red Hat Lightspeed console.

For more information, see This content is not included.Integrating Red Hat Lightspeed with CrowdStrike for enhanced malware detection coverage.

Pen Drive is a disconnected variant of OCP Advisor, and is available as a Technology Preview. It now includes kube-compare functionality for template-based cluster drift validation in a Knative-native workflow.

This enhancement expands the existing disconnected cluster checking capabilities that were originally developed in collaboration with Nokia.

For more information about Pen Drive, see This content is not included.Pen Drive powered by Red Hat Lightspeed.

When you create a remediation plan, Red Hat Lightspeed now uses a system of action points to support reliable performance without timeouts or failures. Action points calculate the relative complexity and performance impact of a remediation plan, which can help you decide how and where to execute a remediation plan. Complex issues require a higher number of action points, and simpler issues require a lower number.

Red Hat Lightspeed includes a new Subscriptions service event type that notifies you when subscription usage exceeds defined capacity thresholds. The Exceeded Utilization Threshold event gives proactive visibility into capacity overruns, which helps you identify potential compliance risks and take corrective action before reaching subscription usage limits.

The event integrates with the Hybrid Cloud Console Notifications service and follows the standard event schema. You can use it alongside other Red Hat Lightspeed events for operational monitoring and cost management. You can also forward alerts to external systems such as Splunk, ServiceNow, or Slack. You can also trigger automated workflows such as Event-Driven Ansible.

Artificial Intelligence workloads require advanced GPUs for training and inference at scale. These GPUs are expensive resources in modern data centers. Cost Management can now track GPU consumption and calculate cost based on custom rates defined by the user.

This feature is currently implemented for NVIDIA GPUs running on premise.