Customers have the option to purchase annual subscriptions of OpenShift Dedicated (OSD) or consume on-demand through cloud marketplaces. Customers can decide to bring their own cloud infrastructure account, referred to as Customer Cloud Subscription (CCS), or deploy in cloud provider accounts owned by Red Hat. The table below provides additional information regarding billing, as well as the corresponding supported deployment options.

Additional resources can be purchased for an OpenShift Dedicated Cluster, including:

Customers can create, scale, and delete their clusters from OpenShift Cluster Manager, provided that they have already purchased the necessary subscriptions.

Actions available in Red Hat OpenShift Cluster Manager must not be directly performed from within the cluster as this might cause adverse affects, including having all actions automatically reverted.

OpenShift Dedicated offers OpenShift Container Platform clusters as a managed service on the following cloud providers:

Single availability zone clusters require a minimum of 2 worker nodes for Customer Cloud Subscription (CCS) clusters deployed to a single availability zone. A minimum of 4 worker nodes is required for standard clusters. These 4 worker nodes are included in the base subscription.

Multiple availability zone clusters require a minimum of 3 worker nodes for Customer Cloud Subscription (CCS) clusters, 1 deployed to each of 3 availability zones. A minimum of 9 worker nodes are required for standard clusters. These 9 worker nodes are included in the base subscription, and additional nodes must be purchased in multiples of 3 to maintain proper node distribution.

Control plane and infrastructure nodes are also provided by Red Hat. There are at least 3 control plane nodes that handle etcd and API-related workloads. There are at least 2 infrastructure nodes that handle metrics, routing, the web console, and other workloads. You must not run any workloads on the control plane and infrastructure nodes. Any workloads you intend to run must be deployed on worker nodes. See the Red Hat Operator support section below for more information about Red Hat workloads that must be deployed on worker nodes.

OpenShift Dedicated offers the following worker node instance types and sizes on AWS:

OpenShift Dedicated offers the following worker node types and sizes on AWS:

OpenShift Dedicated offers the following worker node types and sizes on Google Cloud that are chosen to have a common CPU and memory capacity that are the same as other cloud instance types:

The following AWS regions are supported by OpenShift Container Platform 4 and are supported for OpenShift Dedicated:

The following Google Cloud regions are currently supported:

Multi-AZ clusters can only be deployed in regions with at least 3 availability zones (see AWS and Google Cloud).

Each new OpenShift Dedicated cluster is installed within a dedicated Virtual Private Cloud (VPC) in a single Region, with the option to deploy into a single Availability Zone (Single-AZ) or across multiple Availability Zones (Multi-AZ). This provides cluster-level network and resource isolation, and enables cloud-provider VPC settings, such as VPN connections and VPC Peering. Persistent volumes are backed by cloud block storage and are specific to the availability zone in which they are provisioned. Persistent volumes do not bind to a volume until the associated pod resource is assigned into a specific availability zone in order to prevent unschedulable pods. Availability zone-specific resources are only usable by resources in the same availability zone.

Any SLAs for the service itself are defined in Appendix 4 of the Red Hat Enterprise Agreement Appendix 4 (Online Subscription Services).

When a cluster transitions to a Limited Support status, Red Hat no longer proactively monitors the cluster, the SLA is no longer applicable, and credits requested against the SLA are denied. It does not mean that you no longer have product support. In some cases, the cluster can return to a fully-supported status if you remediate the violating factors. However, in other cases, you might have to delete and recreate the cluster.

A cluster might transition to a Limited Support status for many reasons, including the following scenarios:

If you have questions about a specific action that might cause a cluster to transition to a Limited Support status or need further assistance, open a support ticket.

OpenShift Dedicated includes Red Hat Premium Support, which can be accessed by using the Red Hat Customer Portal.

See the Scope of Coverage Page for more details on what is covered with included support for OpenShift Dedicated.

See OpenShift Dedicated SLAs for support response times.

Cluster audit logs are available through Amazon CloudWatch (on AWS) or Google Cloud Logging (on GCP), if the integration is enabled. If the integration is not enabled, you can request the audit logs by opening a support case. Audit log requests must specify a date and time range not to exceed 21 days. When requesting audit logs, customers should be aware that audit logs are many GB per day in size.

Application logs sent to STDOUT are forwarded to Amazon CloudWatch (on AWS) or Google Cloud Logging (on GCP) through the cluster logging stack, if it is installed.

OpenShift Dedicated clusters come with an integrated Prometheus/Grafana stack for cluster monitoring including CPU, memory, and network-based metrics. This is accessible through the web console and can also be used to view cluster-level status and capacity/usage through a Grafana dashboard. These metrics also allow for horizontal pod autoscaling based on CPU or memory metrics provided by an OpenShift Dedicated user.

Red Hat communicates the health and status of OpenShift Dedicated clusters through a combination of a cluster dashboard available in Red Hat OpenShift Cluster Manager, and email notifications sent to the email address of the contact that originally deployed the cluster.

To use a custom hostname for a route, you must update your DNS provider by creating a canonical name (CNAME) record. Your CNAME record should map the OpenShift canonical router hostname to your custom domain. The OpenShift canonical router hostname is shown on the Route Details page after a Route is created. Alternatively, a wildcard CNAME record can be created once to route all subdomains for a given hostname to the cluster’s router.

Custom domains and subdomains are not available for the platform service routes, for example, the API or web console routes, or for the default application routes.

OpenShift Dedicated includes TLS security certificates needed for both internal and external services on the cluster. For external routes, there are two, separate TLS wildcard certificates that are provided and installed on each cluster, one for the web console and route default hostnames and the second for the API endpoint. Let’s Encrypt is the certificate authority used for certificates. Routes within the cluster, for example, the internal API endpoint, use TLS certificates signed by the cluster’s built-in certificate authority and require the CA bundle available in every pod for trusting the TLS certificate.

OpenShift Dedicated supports the use of custom certificate authorities to be trusted by builds when pulling images from an image registry.

OpenShift Dedicated uses up to 5 different load balancers:

For standard OpenShift Dedicated clusters, network usage is measured based on data transfer between inbound, VPC peering, VPN, and AZ traffic. On a standard OpenShift Dedicated base cluster, 12 TB of network I/O is provided. Additional network I/O can be purchased in 12 TB increments. For CCS OpenShift Dedicated clusters, network usage is not monitored, and is billed directly by the cloud provider.

Project administrators can add route annotations for many different purposes, including ingress control through IP allowlisting.

Ingress policies can also be changed by using NetworkPolicy objects, which leverage the ovs-networkpolicy plugin. This allows for full control over the ingress network policy down to the pod level, including between pods on the same cluster and even in the same namespace.

All cluster ingress traffic goes through the defined load balancers. Direct access to all nodes is blocked by cloud configuration.

Pod egress traffic control through EgressNetworkPolicy objects can be used to prevent or limit outbound traffic in OpenShift Dedicated.

Public outbound traffic from the control plane and infrastructure nodes is required and necessary to maintain cluster image security and cluster monitoring. This requires the 0.0.0.0/0 route to belong only to the internet gateway; it is not possible to route this range over private connections.

OpenShift Dedicated clusters use NAT Gateways to present a public, static IP for any public outbound traffic leaving the cluster. Each subnet a cluster is deployed into receives a distinct NAT Gateway. For clusters deployed on AWS with multiple availability zones, up to 3 unique static IP addresses can exist for cluster egress traffic. For clusters deployed on Google Cloud, regardless of availability zone topology, there will by 1 static IP address for worker node egress traffic. Any traffic that remains inside the cluster or does not go out to the public internet will not pass through the NAT Gateway and will have a source IP address belonging to the node that the traffic originated from. Node IP addresses are dynamic, and therefore a customer should not rely on allowlisting individual IP address when accessing private resources.

Customers can determine their public static IP addresses by running a pod on the cluster and then querying an external service. For example:

$ oc run ip-lookup --image=busybox -i -t --restart=Never --rm -- /bin/sh -c "/bin/nslookup -type=a myip.opendns.com resolver1.opendns.com | grep -E 'Address: [0-9.]+'"

OpenShift Dedicated allows for the configuration of a private network connection through several cloud provider managed technologies:

For OpenShift Dedicated clusters that have a private cloud network configuration, a customer can specify internal DNS servers available on that private connection that should be queried for explicitly provided domains.

Network verification checks run automatically when you deploy an OpenShift Dedicated cluster into an existing Virtual Private Cloud (VPC) or create an additional machine pool with a subnet that is new to your cluster. The checks validate your network configuration and highlight errors, enabling you to resolve configuration issues prior to deployment.

You can also run the network verification checks manually to validate the configuration for an existing cluster.

Control plane nodes use encrypted-at-rest-EBS storage.

EBS volumes used for persistent volumes (PVs) are encrypted-at-rest by default.

Persistent volumes (PVs) are backed by AWS EBS and Google Cloud persistent disk block storage, which uses the ReadWriteOnce (RWO) access mode. On a standard OpenShift Dedicated base cluster, 100 GB of block storage is provided for PVs, which is dynamically provisioned and recycled based on application requests. Additional persistent storage can be purchased in 500 GB increments.

PVs can only be attached to a single node at a time and are specific to the availability zone in which they were provisioned, but they can be attached to any node in the availability zone.

Each cloud provider has its own limits for how many PVs can be attached to a single node. See AWS instance type limits or Google Cloud Platform custom machine types for details.

The AWS CSI Driver can be used to provide RWX support for OpenShift Dedicated on AWS. A community Operator is provided to simplify setup. See AWS EFS Setup for OpenShift Dedicated and Red Hat OpenShift Service on AWS for details.

Application and application data backups are not a part of the OpenShift Dedicated service. All Kubernetes objects in each OpenShift Dedicated cluster are backed up to facilitate a prompt recovery in the unlikely event that a cluster becomes irreparably inoperable.

The backups are stored in a secure object storage (Multi-AZ) bucket in the same account as the cluster. Node root volumes are not backed up because Red Hat Enterprise Linux CoreOS is fully managed by the OpenShift Container Platform cluster and no stateful data should be stored on the root volume of a node.

The following table shows the frequency of backups:

Node autoscaling is available on OpenShift Dedicated. See About autoscaling nodes on a cluster for more information on autoscaling nodes on a cluster.

Customers may create and run DaemonSets on OpenShift Dedicated. In order to restrict DaemonSets to only running on worker nodes, use the following nodeSelector:

...
spec:
  nodeSelector:
    role: worker
...

In a multiple availability zone cluster, control nodes are distributed across availability zones and at least three worker nodes are required in each availability zone.

Custom node labels are created by Red Hat during node creation and cannot be changed on OpenShift Dedicated clusters at this time.

OpenShift Dedicated is run as a service and is kept up to date with the latest OpenShift Container Platform version.

Refer to OpenShift Dedicated Life Cycle for more information on the upgrade policy and procedures.

Windows containers are not available on OpenShift Dedicated at this time.

OpenShift Dedicated runs on OpenShift 4 and uses CRI-O as the only available container engine.

OpenShift Dedicated runs on OpenShift 4 and uses Red Hat Enterprise Linux CoreOS as the operating system for all control plane and worker nodes.

Red Hat workloads typically refer to Red Hat-provided Operators made available through Operator Hub. Red Hat workloads are not managed by the Red Hat SRE team, and must be deployed on worker nodes. These Operators may require additional Red Hat subscriptions, and may incur additional cloud infrastructure costs. Examples of these Red Hat-provided Operators are:

All Operators listed in the OperatorHub marketplace should be available for installation. Operators installed from OperatorHub, including Red Hat Operators, are not SRE managed as part of the OpenShift Dedicated service. Refer to the Red Hat Customer Portal for more information on the supportability of a given Operator.

Authentication for the cluster is configured as part of Red Hat OpenShift Cluster Manager cluster creation process. OpenShift is not an identity provider, and all access to the cluster must be managed by the customer as part of their integrated solution. Provisioning multiple identity providers provisioned at the same time is supported. The following identity providers are supported:

Privileged containers are not available by default on OpenShift Dedicated. The anyuid and nonroot Security Context Constraints are available for members of the dedicated-admins group, and should address many use cases. Privileged containers are only available for cluster-admin users.

In addition to normal users, OpenShift Dedicated provides access to an OpenShift Dedicated-specific group called dedicated-admin. Any users on the cluster that are members of the dedicated-admin group:

As an administrator of OpenShift Dedicated with Customer Cloud Subscriptions (CCS), you have access to the cluster-admin role. While logged in to an account with the cluster-admin role, users have mostly unrestricted access to control and configure the cluster. There are some configurations that are blocked with webhooks to prevent destablizing the cluster, or because they are managed in OpenShift Cluster Manager and any in-cluster changes would be overwritten.

All users, by default, have the ability to create, update, and delete their projects. This can be restricted if a member of the dedicated-admin group removes the self-provisioner role from authenticated users:

$ oc adm policy remove-cluster-role-from-group self-provisioner system:authenticated:oauth

Restrictions can be reverted by applying:

$ oc adm policy add-cluster-role-to-group self-provisioner system:authenticated:oauth

OpenShift Dedicated follows common industry best practices for security and controls. The certifications are outlined in the following table.

Each OpenShift Dedicated cluster is protected by a secure network configuration at the cloud infrastructure level using firewall rules (AWS Security Groups or Google Cloud Compute Engine firewall rules). OpenShift Dedicated customers on AWS are also protected against DDoS attacks with AWS Shield Standard. Similarly, all GCP load balancers and public IP addresses used by OpenShift Dedicated on GCP are protected against DDoS attacks with Google Cloud Armor Standard.

In OpenShift Dedicated, the control plane storage is encrypted at rest by default and this includes encryption of the etcd volumes. This storage-level encryption is provided through the storage layer of the cloud provider.

You can also enable etcd encryption, which encrypts the key values in etcd, but not the keys. If you enable etcd encryption, the following Kubernetes API server and OpenShift API server resources are encrypted:

The etcd encryption feature is not enabled by default and it can be enabled only at cluster installation time. Even with etcd encryption enabled, the etcd key values are accessible to anyone with access to the control plane nodes or cluster-admin privileges.

The customer is responsible for incident and operations management of customer application data and any custom networking the customer might have configured for the cluster network or virtual network.

Red Hat is responsible for enabling changes to the cluster infrastructure and services that the customer will control, as well as maintaining versions for the control plane nodes, infrastructure nodes and services, and worker nodes. The customer is responsible for initiating infrastructure change requests and installing and maintaining optional services and networking configurations on the cluster, as well as all changes to customer data and customer applications.

The access and identity authorization matrix includes responsibilities for managing authorized access to clusters, applications, and infrastructure resources. This includes tasks such as providing access control mechanisms, authentication, authorization, and managing access to resources.

The following are the responsibilities and controls related to compliance:

Disaster recovery includes data and configuration backup, replicating data and configuration to the disaster recovery environment, and failover on disaster events.

A Red Hat Site Reliability Engineer (SRE) maintains a centralized monitoring and alerting system for all OpenShift Dedicated cluster components, SRE services, and underlying cloud provider accounts. Platform audit logs are securely forwarded to a centralized SIEM (Security Information and Event Monitoring) system, where they might trigger configured alerts to the SRE team and are also subject to manual review. Audit logs are retained in the SIEM for one year. Audit logs for a given cluster are not deleted at the time the cluster is deleted.

An incident is an event that results in a degradation or outage of one or more Red Hat services. An incident can be raised by a customer or Customer Experience and Engagement (CEE) member through a support case, directly by the centralized monitoring and alerting system, or directly by a member of the SRE team.

Depending on the impact on the service and customer, the incident is categorized in terms of severity.

The general workflow of how a new incident is managed by Red Hat:

Platform notifications are configured using email. Any customer notification is also sent to the corresponding Red Hat account team and if applicable, the Red Hat Technical Account Manager.

The following activities can trigger notifications:

All OpenShift Dedicated clusters are backed up using cloud provider snapshots. Notably, this does not include customer data stored on persistent volumes (PVs). All snapshots are taken using the appropriate cloud provider snapshot APIs and are uploaded to a secure object storage bucket (S3 in AWS, and GCS in Google Cloud) in the same account as the cluster.

Evaluating and managing cluster capacity is a responsibility that is shared between Red Hat and the customer. Red Hat SRE is responsible for the capacity of all control plane and infrastructure nodes on the cluster.

Red Hat SRE also evaluates cluster capacity during upgrades and in response to cluster alerts. The impact of a cluster upgrade on capacity is evaluated as part of the upgrade testing process to ensure that capacity is not negatively impacted by new additions to the cluster. During a cluster upgrade, additional worker nodes are added to make sure that total cluster capacity is maintained during the upgrade process.

Capacity evaluations by SRE staff also happen in response to alerts from the cluster, once usage thresholds are exceeded for a certain period of time. Such alerts can also result in a notification to the customer.

You can initiate changes using self-service capabilities such as cluster deployment, worker node scaling, or cluster deletion.

Change history is captured in the Cluster History section in the OpenShift Cluster Manager Overview tab, and is available for you to view. The change history includes, but is not limited to, logs from the following changes:

You can implement a maintenance exclusion by avoiding changes in OpenShift Cluster Manager for the following components:

Red Hat site reliability engineering (SRE) manages the infrastructure, code, and configuration of OpenShift Dedicated using a GitOps workflow and fully automated CI/CD pipelines. This process ensures that Red Hat can safely introduce service improvements on a continuous basis without negatively impacting customers.

Every proposed change undergoes a series of automated verifications immediately upon check-in. Changes are then deployed to a staging environment where they undergo automated integration testing. Finally, changes are deployed to the production environment. Each step is fully automated.

An authorized SRE reviewer must approve advancement to each step. The reviewer cannot be the same individual who proposed the change. All changes and approvals are fully auditable as part of the GitOps workflow.

Some changes are released to production incrementally, using feature flags to control availability of new features to specified clusters or customers.

OpenShift Container Platform software and the underlying immutable Red Hat Enterprise Linux CoreOS (RHCOS) operating system image are patched for bugs and vulnerabilities in regular z-stream upgrades. Read more about RHCOS architecture in the OpenShift Container Platform documentation.

Red Hat does not automatically upgrade your clusters. You can schedule to upgrade the clusters at regular intervals (recurring upgrade) or just once (individual upgrade) using the OpenShift Cluster Manager web console. Red Hat might forcefully upgrade a cluster to a new z-stream version only if the cluster is affected by a critical impact CVE. You can review the history of all cluster upgrade events in the OpenShift Cluster Manager web console. For more information about releases, see the Life Cycle policy.

Red Hat defines and follows a data classification standard to determine the sensitivity of data and highlight inherent risk to the confidentiality and integrity of that data while it is collected, used, transmitted stored, and processed. Customer-owned data is classified at the highest level of sensitivity and handling requirements.

OpenShift Dedicated uses cloud provider services such as AWS Key Management Service (KMS) and Google Cloud KMS to help securely manage encryption keys for persistent data. These keys are used for encrypting all control plane, infrastructure, and worker node root volumes. Customers can specify their own KMS key for encrypting root volumes at installation time. Persistent volumes (PVs) also use KMS for key management. Customers can specify their own KMS key for encrypting PVs by creating a new StorageClass referencing the KMS key Amazon Resource Name (ARN) or ID.

When a customer deletes their OpenShift Dedicated cluster, all cluster data is permanently deleted, including control plane data volumes and customer application data volumes, such a persistent volumes (PV).

Red Hat performs periodic vulnerability scanning of OpenShift Dedicated using industry standard tools. Identified vulnerabilities are tracked to their remediation according to timelines based on severity. Vulnerability scanning and remediation activities are documented for verification by third-party assessors in the course of compliance certification audits.

Red Hat performs periodic penetration tests against OpenShift Dedicated. Tests are performed by an independent internal team using industry standard tools and best practices.

Any issues that are discovered are prioritized based on severity. Any issues found belonging to open source projects are shared with the community for resolution.

OpenShift Dedicated follows common industry best practices for security and controls. The certifications are outlined in the following table.

For a list of the available subprocessors, see the Red Hat Subprocessor List on the Red Hat Customer Portal.

SREs access OpenShift Dedicated clusters through a proxy. The proxy mints a service account in an OpenShift Dedicated cluster for the SREs when they log in. As no identity provider is configured for OpenShift Dedicated clusters, SREs access the proxy by running a local web console container. SREs do not access the cluster web console directly. SREs must authenticate as individual users to ensure auditability. All authentication attempts are logged to a Security Information and Event Management (SIEM) system.

Red Hat SRE adheres to the principle of least privilege when accessing OpenShift Dedicated and public cloud provider components. There are four basic categories of manual SRE access:

Each of these access types has different levels of access to components:

Red Hat personnel do not access cloud infrastructure accounts in the course of routine OpenShift Dedicated operations. For emergency troubleshooting purposes, Red Hat SRE have well-defined and auditable procedures to access cloud infrastructure accounts.

In AWS, SREs generate a short-lived AWS access token for the BYOCAdminAccess user using the AWS Security Token Service (STS). Access to the STS token is audit logged and traceable back to individual users. The BYOCAdminAccess has the AdministratorAccess IAM policy attached.

In Google Cloud, SREs access resources after being authenticated against a Red Hat SAML identity provider (IDP). The IDP authorizes tokens that have time-to-live expirations. The issuance of the token is auditable by corporate Red Hat IT and linked back to an individual user.

Members of the Red Hat CEE team typically have read-only access to parts of the cluster. Specifically, CEE has limited access to the core and product namespaces and does not have access to the customer namespaces.

Cloud Infrastructure Account refers to the underlying AWS or Google Cloud account

Customer access is limited to namespaces created by the customer and permissions that are granted using RBAC by the customer administrator role. Access to the underlying infrastructure or product namespaces is generally not permitted without cluster-admin access. More information on customer access and authentication can be found in the Understanding Authentication section of the documentation.

New SRE user access requires management approval. Separated or transferred SRE accounts are removed as authorized users through an automated process. Additionally, SRE performs periodic access review including management sign-off of authorized user lists.

By design, pods are meant to exist for a short time. Appropriately scaling services so that multiple instances of your application pods are running protects against issues with any individual pod or container. The node scheduler can also ensure that these workloads are distributed across different worker nodes to further improve resiliency.

When accounting for possible pod failures, it is also important to understand how storage is attached to your applications. Single persistent volumes attached to single pods cannot leverage the full benefits of pod scaling, whereas replicated databases, database services, or shared storage can.

To avoid disruption to your applications during planned maintenance, such as upgrades, it is important to define a pod disruption budget. These are part of the Kubernetes API and can be managed with the OpenShift CLI (oc) like other object types. They allow the specification of safety constraints on pods during operations, such as draining a node for maintenance.

Worker nodes are the virtual machines that contain your application pods. By default, an OpenShift Dedicated cluster has a minimum of four worker nodes for a single availability-zone cluster. In the event of a worker node failure, pods are relocated to functioning worker nodes, as long as there is enough capacity, until any issue with an existing node is resolved or the node is replaced. More worker nodes means more protection against single node outages, and ensures proper cluster capacity for rescheduled pods in the event of a node failure.

OpenShift Dedicated clusters have at least three control plane nodes and three infrastructure nodes that are preconfigured for high availability, either in a single zone or across multiple zones depending on the type of cluster you have selected. This means that control plane and infrastructure nodes have the same resiliency of worker nodes, with the added benefit of being managed completely by Red Hat.

In the event of a complete control plane node outage, the OpenShift APIs will not function, and existing worker node pods will be unaffected. However, if there is also a pod or node outage at the same time, the control plane nodes will have to recover before new pods or nodes can be added or scheduled.

All services running on infrastructure nodes are configured by Red Hat to be highly available and distributed across infrastructure nodes. In the event of a complete infrastructure outage, these services will be unavailable until these nodes have been recovered.

A zone failure from a public cloud provider affects all virtual components, such as worker nodes, block or shared storage, and load balancers that are specific to a single availability zone. To protect against a zone failure, OpenShift Dedicated provides the option for clusters that are distributed across three availability zones, called multi-availability zone clusters. Existing stateless workloads are redistributed to unaffected zones in the event of an outage, as long as there is enough capacity.

If you have deployed a stateful application, then storage is a critical component and must be accounted for when thinking about high availability. A single block storage PV is unable to withstand outages even at the pod level. The best ways to maintain availability of storage are to use replicated storage solutions, shared storage that is unaffected by outages, or a database service that is independent of the cluster.