Red Hat Hybrid Cloud Console

Services on the Red Hat Hybrid Cloud Console are cloud services, providing customers with prescriptive analytics and applications to manage Red Hat environments. Because the services are hosted and managed by Red Hat, there is no infrastructure that a customer needs to deploy, other than the installation of a client. 

Red Hat Hybrid Cloud Console Dashboards

Red Hat Enterprise Linux Dashboard

Centralized view into operations, security, and subscriptions insights for Red Hat Enterprise Linux

Red Hat Insights

Red Hat Insights is a a managed service that continuously analyzes platforms and applications to help you monitor, optimize, and secure hybrid cloud environments. Included with Red Hat subscriptions and public cloud versions of RHEL, Insights identifies, prioritizes, and resolves risks to security, compliance, performance, availability, and stability before they become urgent issues. Enable Insights for your RHEL system to evaluate adherence to internal policies and understand configuration changes over time.

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Image Builder

Image Builder is bundled with Insights and enables you to create customized system images, add additional packages, and customize file system layouts to an image during image creation, and upload your customized image to the targeted cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.


Subscriptions

The Subscriptions Service allows you to access unified reporting of your Red Hat Enterprise Linux subscription and OpenShift cluster usage and utilization information across your hybrid infrastructure. By activating simple content access with the subscription watch tool, you can consume content without strict entitlement enforcement via Red Hat Satellite for a simple subscription experience. Subscriptions is available only to customers using Red Hat Satellite 6.5 or later.

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Edge Management Dashboard

Edge management enables you to improve the reliability, availability, security, and compliance of your Red Hat Edge, running on any platform, while reducing total cost of operation (TCO) and repetitive tasks.

Edge capabilities are:

  • Customizable operating system image generation
  • Edge management
  • Remote device update mirroring
  • Efficient over-the-air (OTA) updates
  • Intelligent rollbacks

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OpenShift Dashboard

Centralized reporting and management for Red Hat OpenShift 4.


Cluster Manager

OpenShift Cluster Manager provides an interface where you can:

  • Deploy OpenShift Container Platform 4  
  • Provision clusters for OpenShift Dedicated
  • Manage your clusters across multiple clouds
  • Register and entitle your clusters to your Red Hat subscription

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Subscriptions

Red Hat’s subscription watch tool allows you to access unified reporting of your Red Hat Enterprise Linux subscription and OpenShift cluster usage and utilization information across your hybrid infrastructure. By activating simple content access with the subscription watch tool, you can consume content without strict entitlement enforcement via Red Hat Satellite for a simple subscription experience. Subscription watch is available only to customers using Red Hat Satellite 6.5 or later.

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Cost Management

Cost management aggregates and displays the costs of your OpenShift deployment and infrastructure across bare-metal servers, virtual machines, private clouds and public cloud infrastructure, including AWS and Microsoft Azure.

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Ansible Automation Platform Dashboard

Centralized view of Insights, content management, and policy and governance for Ansible Automation Platform.


Insights for Ansible Automation Platform

Insights for Ansible Automation Platform gives you a visual dashboard with health notifications and organizational statistics across different teams using Ansible. Use Insights for Ansible Automation Platform analytics to analyze, aggregate, and report on data for your Red Hat Ansible Automation Platform deployments, and see how your automation is running in your environment.

Automation Hub

Automation Hub is the official location to discover and download supported Ansible Content Collections , included as part of your Ansible Automation Platform subscription. Content collections contain ways to consume automation, and how-to guides for implementing the collection in your infrastructure.

Automation Services Catalog

Automation Services Catalog gives developers and business users access to the four areas where automation lives:  physical, virtual, cloud, and container environments. It simultaneously gives enterprise and line of business users the governance they need to meet compliance and procurement requirements around automation.

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Application Services Dashboard

Red Hat OpenShift Application Services deliver a streamlined developer experience for building, deploying, and scaling cloud-native applications. The services are tightly integrated with managed Red Hat OpenShift to reduce operational costs and complexity for application development teams. 

  • OpenShift Streams for Apache Kafka
  • OpenShift API Management
  • OpenShift Service Registry
  • OpenShift Data Science


Red Hat OpenShift Streams for Apache Kafka

OpenShift Streams for Apache Kafka enables IT development teams to deliver applications that share streaming data and connect systems across public and private clouds. 

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Red Hat OpenShift API Management


OpenShift API Management allows IT development teams to build API-first, microservices-based applications across hybrid-cloud environments. 

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Red Hat OpenShift Service Registry 


Red Hat OpenShift Service Registry is a schema registry that allows development teams to publish, discover, and reuse artifacts. The service is designed to work with both OpenShift Streams for Apache Kafka and API Management to support delivering applications. 

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Red Hat OpenShift Data Science


Accelerate your data science with OpenShift Data Science, a managed cloud service for data scientists and developers of intelligent applications. Within a fully supported sandbox, it allows businesses to rapidly develop, train, and test artificial intelligence (AI) and machine learning (ML) models using Red Hat and partner technology before deploying in production.

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