- Documentation
- OpenShift Dedicated
- What's new
- What's new with OpenShift Dedicated history bug_report picture_as_pdf
- About
- What's new
- Introduction to OpenShift Dedicated
- Architecture
- Red Hat OpenShift Cluster Manager
- Planning your environment
- Getting started
- Installing, accessing, and deleting OpenShift Dedicated clusters
- Support
- Web console
- CLI tools
- Cluster administration
- Security and compliance
- Authentication and authorization
- Authentication and authorization overview
- Understanding authentication
- Managing user-owned OAuth access tokens
- Configuring identity providers
- Managing administration roles and users
- Using RBAC to define and apply permissions
- Understanding and creating service accounts
- Using service accounts in applications
- Using a service account as an OAuth client
- Scoping tokens
- Using bound service account tokens
- Managing security context constraints
- Understanding and managing pod security admission
- Syncing LDAP groups
- Upgrading
- CI/CD
- Images
- Overview of images
- Overview of the Cluster Samples Operator
- Using the Cluster Samples Operator with an alternate registry
- Creating images
- Managing images
- Managing image streams
- Using image streams with Kubernetes resources
- Triggering updates on image stream changes
- Image configuration resources
- Using templates
- Using Ruby on Rails
- Using images
- Add-on services
- Storage
- Registry
- Operators
- Operators overview
- Understanding Operators
- User tasks
- Administrator tasks
- Developing Operators
- About the Operator SDK
- Installing the Operator SDK CLI
- Go-based Operators
- Ansible-based Operators
- Helm-based Operators
- Defining cluster service versions (CSVs)
- Working with bundle images
- Complying with pod security admission
- Validating Operators using the scorecard
- Validating Operator bundles
- High-availability or single-node cluster detection and support
- Configuring built-in monitoring with Prometheus
- Configuring leader election
- Object pruning utility
- Migrating package manifest projects to bundle format
- Operator SDK CLI reference
- Migrating to Operator SDK v0.1.0
- Networking
- Building applications
- Building applications overview
- Projects
- Creating applications
- Viewing application composition using the Topology view
- Connecting applications to services
- Service Binding Operator release notes
- Understanding Service Binding Operator
- Installing Service Binding Operator
- Getting started with service binding
- Exposing binding data from a service
- Projecting binding data
- Binding workloads using Service Binding Operator
- Connecting an application to a service using the Developer perspective
- Working with Helm charts
- Deployments
- Quotas
- Using config maps with applications
- Monitoring project and application metrics using the Developer perspective
- Monitoring application health
- Editing applications
- Working with quotas
- Pruning objects to reclaim resources
- Idling applications
- Deleting applications
- Using the Red Hat Marketplace
- Nodes
- Overview of nodes
- Working with pods
- Automatically scaling pods with the Custom Metrics Autoscaler Operator
- Release notes
- Custom Metrics Autoscaler Operator overview
- Installing the custom metrics autoscaler
- Understanding the custom metrics autoscaler triggers
- Understanding the custom metrics autoscaler trigger authentications
- Pausing the custom metrics autoscaler
- Gathering audit logs
- Gathering debugging data
- Viewing Operator metrics
- Understanding how to add custom metrics autoscalers
- Removing the Custom Metrics Autoscaler Operator
- Controlling pod placement onto nodes (scheduling)
- About pod placement using the scheduler
- Placing pods relative to other pods using pod affinity and anti-affinity rules
- Controlling pod placement on nodes using node affinity rules
- Placing pods onto overcommited nodes
- Controlling pod placement using node taints
- Placing pods on specific nodes using node selectors
- Controlling pod placement using pod topology spread constraints
- Using Jobs and DaemonSets
- Working with nodes
- Working with containers
- Understanding containers
- Using Init Containers to perform tasks before a pod is deployed
- Using volumes to persist container data
- Mapping volumes using projected volumes
- Allowing containers to consume API objects
- Copying files to or from a container
- Executing remote commands in a container
- Using port forwarding to access applications in a container
- Working with clusters
- Observability
- Observability overview
- Monitoring
- Monitoring overview
- Accessing monitoring for user-defined projects
- Configuring the monitoring stack
- Disabling monitoring for user-defined projects
- Enabling alert routing for user-defined projects
- Managing metrics
- Managing alerts
- Reviewing monitoring dashboards
- Accessing third-party monitoring APIs
- Troubleshooting monitoring issues
- Config map reference for the Cluster Monitoring Operator
- Logging
- Release notes
- Support
- Troubleshooting logging
- About Logging
- Installing Logging
- Updating Logging
- Visualizing logs
- Accessing the service logs
- Configuring your Logging deployment
- Log collection and forwarding
- Log storage
- Logging alerts
- Performance and reliability tuning
- Scheduling resources
- Uninstalling Logging
- Exported fields
- API reference
- Glossary
- Service Mesh
- Service Mesh 2.x
- About OpenShift Service Mesh
- Service Mesh 2.x release notes
- Service Mesh architecture
- Service Mesh deployment models
- Service Mesh and Istio differences
- Preparing to install Service Mesh
- Installing the Operators
- Creating the ServiceMeshControlPlane
- Adding workloads to a service mesh
- Enabling sidecar injection
- Upgrading Service Mesh
- Managing users and profiles
- Security
- Traffic management
- Metrics, logs, and traces
- Performance and scalability
- Deploying to production
- Federation
- Extensions
- 3scale WebAssembly for 2.1
- 3scale Istio adapter for 2.0
- Troubleshooting Service Mesh
- Control plane configuration reference
- Kiali configuration reference
- Jaeger configuration reference
- Uninstalling Service Mesh
- Service Mesh 2.x
- Serverless
- Virtualization
- About
- Getting started
- Installing
- Post-installation configuration
- Updating
- Virtual machines
- Creating VMs from Red Hat images
- Creating VMs from custom images
- Connecting to VM consoles
- Configuring SSH access to VMs
- Editing virtual machines
- Editing boot order
- Deleting virtual machines
- Exporting virtual machines
- Managing virtual machine instances
- Controlling virtual machine states
- Using virtual Trusted Platform Module devices
- Managing virtual machines with OpenShift Pipelines
- Advanced virtual machine management
- Working with resource quotas for virtual machines
- Specifying nodes for virtual machines
- Configuring certificate rotation
- Configuring the default CPU model
- UEFI mode for virtual machines
- Configuring PXE booting for virtual machines
- Scheduling virtual machines
- About high availability for virtual machines
- VM disks
- Networking
- Networking configuration overview
- Connecting a VM to the default pod network
- Exposing a VM by using a service
- Connecting a VM to an OVN-Kubernetes secondary network
- Connecting a VM to a service mesh
- Configuring a dedicated network for live migration
- Configuring and viewing IP addresses
- Managing MAC address pools for network interfaces
- Storage
- Storage configuration overview
- Configuring storage profiles
- Managing automatic boot source updates
- Reserving PVC space for file system overhead
- Configuring local storage by using HPP
- Enabling user permissions to clone data volumes across namespaces
- Configuring CDI to override CPU and memory quotas
- Preparing CDI scratch space
- Using preallocation for data volumes
- Managing data volume annotations
- Live migration
- Nodes
- Monitoring
- Support
- Backup and restore
What’s new with OpenShift Dedicated
With its foundation in Kubernetes, OpenShift Dedicated is a complete OpenShift Container Platform cluster provided as a cloud service, configured for high availability, and dedicated to a single customer.
OpenShift Dedicated is professionally managed by Red Hat and hosted on Google Cloud Platform (GCP) or Amazon Web Services (AWS). Each OpenShift Dedicated cluster includes a fully managed control plane (Control and Infrastructure nodes), application nodes, installation and management by Red Hat Site Reliability Engineers (SRE), premium Red Hat Support, and cluster services such as logging, metrics, monitoring, notifications portal, and a cluster portal.
OpenShift Dedicated clusters are available on the Hybrid Cloud Console. With the Red Hat OpenShift Cluster Manager application, you can deploy OpenShift Dedicated clusters to either on-premises or cloud environments.
New changes and updates
Q2 2024
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Cluster delete protection. OpenShift Dedicated on Google Cloud Platform (GCP) users can now enable the cluster delete protection option, which helps to prevent users from accidentally deleting a cluster. For more information, see Creating a cluster on GCP with CCS.
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CSI Operator update. OpenShift Dedicated is capable of provisioning persistent volumes (PVs) using the Container Storage Interface (CSI) driver for Google Compute Platform (GCP) Filestore Storage. For more information, see Google Compute Platform Filestore CSI Driver Operator.
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Support for new GCP instances. OpenShift Dedicated now supports more worker node types and sizes on Google Cloud Platform. For more information, see Google Cloud compute types.
Q1 2024
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OpenShift Dedicated regions added. OpenShift Dedicated on Google Cloud Platform (GCP) is now available in the Delhi, India (
asia-south2) region. For more information on region availabilities, see Regions and availability zones. -
Policy constraint update. OpenShift Dedicated on Google Cloud Platform (GCP) users are now allowed to deploy clusters with the
constraints/iam.allowedPolicyMemberDomainsconstraint in place. This feature allows users to restrict the set of identities that are allowed to be used in Identity and Access Management policies, further enhancing overall security for their resources.
Q4 2023
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Policy constraint update. OpenShift Dedicated on Google Cloud Platform (GCP) users can now enable UEFISecureBoot during cluster installation, as required by the GCP ShieldVM policy. This new feature adds further protection from boot or kernel-level malware or rootkits.
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Cluster install update. OpenShift Dedicated clusters can now be installed on Google Cloud Platform (GCP) shared VPCs. For more information, see Creating a cluster on GCP with CCS.
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OpenShift Dedicated on Google Cloud Marketplace availability. When creating an OpenShift Dedicated (OSD) cluster on Google Cloud through the Hybrid Cloud Console, customers can now select Google Cloud Marketplace as their preferred billing model. This billing model allows Red Hat customers to take advantage of their Google Committed Use Discounts (CUD) towards OpenShift Dedicated purchased through the Google Cloud Marketplace. For more information, see Creating a cluster on GCP with Google Cloud Marketplace.