Red Hat

Red Hat Enterprise Linux on Google Cloud provides an enterprise-grade platform for migration of on-prem workloads or for building new applications- creating a consistent foundation for hybrid environments.

Benefit from the familiarity of Red Hat Enterprise Linux optimized for Compute Engine VMs with integrated support and the security, scalability, and simplicity of Google Cloud.

Bring your own subscription (BYOS) or buy subscriptions directly from Google Cloud with cost optimization options such as committed usage discounts.

Red Hat OpenShift on Google Cloud is an application platform that provides users with a consistent hybrid cloud foundation for building and scaling containerized applications—whether migrating existing workloads to the cloud or building new experiences for customers.

Benefit from the familiarity of Red Hat OpenShift with the security, performance, scalability, and simplicity of Google Cloud.

Use existing contracts bringing your own subscription (BYOS), or procure Red Hat OpenShift from Google Cloud via Marketplace.

Red Hat OpenShift Dedicated on Google Cloud is a turnkey application platform managed by Red Hat and backed by global 24x7 site reliability engineers (SREs). Red Hat OpenShift Dedicated allows organizations to build, deploy and scale applications quickly and focus on their business, not managing infrastructure.

Use existing contracts to bring your own subscription (BYOS), or procure Red Hat OpenShift Dedicated from Google Cloud via Marketplace.

Bring your workloads to OpenShift on Google Cloud to reduce infrastructure costs and benefit from Google Cloud’s reliability and security.

Reduce infrastructure costs: Google Cloud’s on-demand/ flexible resourcing enables you to dynamically right-size your cluster worker node pools and storage to optimally meet the dynamic resource requirements of your applications. In addition, Google Cloud and Red Hat have collaborated to integrate Google’s differentiated infrastructure capabilities to optimally run containerized workloads (such as custom machine types and storage pools) to enable further infrastructure cost optimizations for your OpenShift clusters.

IDC study: According to an IDC study, customers have achieved significant value from migrating to Red Hat OpenShift on Google Cloud to benefit from its scalability, efficiency, and optimization. Interviewed organizations achieved benefits worth an annual average of $26.3 million which resulted in a three-year ROI of 310%. A major portion of the benefits stemmed from infrastructure cost optimization, which can be attributed to Google Cloud capabilities such as custom machine types or Hyperdisk Storage pools to realize savings.

Turbocharge your applications with AI: By migrating your workloads to Google Cloud you can leverage Google Cloud’s industry-leading AI technology to drive business innovation. This includes not only access to the full spectrum of Google Cloud AI capabilities, but also purpose-built OpenShift-native integrations to key AI capabilities. You can easily turn existing APIs, applications and Databases deployed in OpenShift into secure and governed agentic tools by exposing them as MCP servers with Enterprise-grade governance through the MCP capability of API hub in Apigee hybrid for OpenShift and through Google Cloud’s MCP Toolbox for Databases. In addition, you can integrate vector embeddings, high-performance vector search, and natural language into Google Cloud’s AlloyDB omni for OpenShift, a PostgreSQL-compatible database that runs anywhere.

Request a free migration assessment: Our team would be happy to work with you to analyze your environment and produce a migration assessment, including estimates of your infrastructure cost savings opportunities. To request a free migration assessment, reach out to your Google Cloud technical account management team.

Google Cloud and Red Hat have collaborated to integrate Google’s proprietary technology into OpenShift to enable customers to reduce infrastructure costs and increase operational efficiency.

Infrastructure Cost Optimization - Custom Machine Types: A key driver of OpenShift clusters infrastructure costs is worker node pools, their sizing and associated utilization. To optimize this variable, it is very important to right-size the machine instances you are using for your worker nodes. In Google Cloud (unlike in other cloud providers), if predefined VM sizes (cpu, ram) don't meet your needs, you can create a VM instance with custom virtualized hardware settings with specific number of vCPUs and amount of memory. This typically enables significant reductions in the amount of compute infrastructure (vcpu, ram) that is required to operate your OpenShift clusters, producing substantial cost savings. Google and Red Hat have collaborated to integrate this capability natively within OpenShift.

Infrastructure Cost Optimization - Hyperdisk Storage Pools: Hyperdisk (Google Cloud’s managed block storage service) provides Storage Pools with capacity pooling, a capability that enables it to implement Thin Provisioning (unlike other cloud providers). In this way, block Storage provisioning for your OpenShift workloads across your PersistentVolumes (PVs) and PersistentVolumeClaims (PVCs) can be pooled in a way that the “buffer capacity” you’d typically allocate for each PV/ PVC doesn’t add up to independent storage provisioning, but instead the “buffer capacity” is shared across a single pool across your various PVs/ PVCs. This typically enables significant reductions in the amount of storage infrastructure that is required to operate your OpenShift clusters (specially for stateful workloads), producing substantial savings. Google and Red Hat have collaborated to integrate this capability natively within OpenShift.

Infrastructure Cost Optimization - Axion: Axion is Google Cloud’s family of custom Arm-based processors for general purpose computing, powering the C4A and N4A instance families. You can get up to 65% better price-performance than other instances available on Google Cloud for a range of general purpose workloads like Java and MySQL. Google Cloud data centers are 1.5X more efficient than the industry-average. Axion reduces consumption even more, using up to 60% less energy than other CPUs on Google Cloud. For applications where it’s practical to port from x86 to arm (such as large scale-out applications), this typically enables significant reductions in infrastructure costs. Google and Red Hat have collaborated to integrate this capability natively within OpenShift, including ability to operate mixed-architecture clusters, and Axion-based worker nodes.

Infrastructure Cost Optimization - bare metal instances: Google Cloud Compute Engine bare metal instances (such as bare metal shapes in C3 machine family) are integrated with OpenShift Virtualization, enabling customers to deploy VM-based workloads on OpenShift, while providing with the flexibility to customize overcommit levels in your bare metal instance based worker nodes, which can help you optimize infrastructure costs for workloads with compute resource demands that dynamically change over time. Google and Red Hat have collaborated to integrate this capability natively within OpenShift.

Operational Efficiency - Integration with Managed Services: Google and Red Hat have collaborated to natively integrate a range of Google Cloud managed services natively with OpenShift; ranging from Cloud Monitoring to block storage with Hyperdisk and file storage with Filestore, to secure secret handling with Secret Manager and Certificate Management with Google’s Certificate Authority Service. This enables customers to move from relying on self-managed solutions (as typically deployed on-prem for each of these areas) which require to take substantial responsibilities for monitoring, patching and other tasks with a heavy operational burden, to managed services where Google takes on those operational tasks, freeing you to focus on innovation and business value, significantly improving operational efficiency as part of a migration to the cloud.