Customer Challenges 

Today’s application modernization strategies are driving much more than business efficiencies. Modern, cloud-native applications differentiate businesses by delivering new capabilities and services, real-time analytics drive business insights, and artificial intelligence (AI) algorithms can help accelerate mission-critical workflows, even enabling continuous improvement through machine learning (ML) pipelines.

To get there, many organizations have embarked on an IT transformation journey that simplifies and accelerates projects. The move to a public cloud service has helped many developers speed their projects from concept to production. Still, what is gained in agility and flexibility often comes at a cost. Organizations have less control over operational expenditures, and some critical workloads and data cannot be moved to the cloud for reasons of security or governance. Likewise, many organizations run into challenges when trying to collaborate across public cloud environments, back to their core datacenters, and out to edge locations.

Red Hat OpenShift Delivers Cloud-Native Agility 

Container platforms built on Kubernetes are growing in popularity because they're able to deliver a cloud-like experience regardless of where they're deployed, in a private or public cloud, on premises, and at the edge. Containers further put resources in the hands of the users, such as developers, analysts, or data scientists. While hypervisor platforms allow operations teams to deliver tens to hundreds of virtual machines (VMs) to project teams, containers can support hundreds and even thousands of containers in a cluster. And since resources are allocated by the project owner, IT resources can be freed up to concentrate on more comprehensive strategies, including business continuity and security.

Red Hat OpenShift delivers container orchestration services based on Kubernetes providing a resource-consumption model for project teams within the environment. It delivers a cloud-like experience regardless of the underlying infrastructure. To deliver a complete open hybrid cloud platform, Red Hat also integrates OpenShift Data Foundation for cluster data management, Advanced Cluster Management, Advanced Cluster Security, and a global registry service provided by Red Hat Quay. This comprehensive set of tools and technologies helps organizations build a complete platform that offers a consistent experience using a common abstraction layer across any infrastructure. Organizations benefit from a common practice for application packaging, deployment, and management without creating different operational models due to different host environments.

Consume Resources as You Need Them

One of the great attributes brought forth in the public cloud that has been instrumental in the proliferation of modern applications is a consumption model. Not only can users quickly consume resources as they need them, and equally ramp down resources they no longer need, payment for those services is also operationalized. Red Hat OpenShift further delivers on a resource-consumption model by empowering teams to create and manage projects as they need them. When deployed on a public cloud, administrators gain better control over the amount and type of resources that are authorized for purchase.

Still, as organizations experience challenges, such as increased IT costs, performance degradation at scale, storage performance across networks, and rising security and governance complexities, many are repatriating applications from the public cloud. Further development in edge computing has also led organizations to push processing closer to where data is being generated. While Red Hat OpenShift can help with the resource-consumption model, even automating resource expansion and contraction based on events through tools like OpenShift Serverless, how can companies do so without incurring significant capital expenditures to support the platform?

This is where a collaboration between HPE and Red Hat can help to deliver a cloud-consumption model on premises as well as out to the edge. HPE GreenLake can deliver the hardware infrastructure and services, along with Red Hat technologies, including Red Hat Enterprise Linux, Red Hat Ansible Automation Platform, Red Hat OpenShift, and OpenShift Data Foundation, and other portfolio products, to a customer’s datacenter or edge location, and deliver the service with a cloud-consumption model.

HPE GreenLake Helps Accelerate and Secure Your Solution

The HPE GreenLake edge-to-cloud platform has emerged as an innovative new choice to power your data-first modernization. With HPE and Red Hat you get a unified experience across edge to datacenter to cloud—enabling customers to get more flexibility and scalability by leveraging Red Hat’s open source and hybrid cloud solutions.

Not only are you able to deploy resources more easily, you gain better visibility into your costs and you're able to forecast requirements faster. And with a flexible pay-per-use model, you don’t have to overprovision your infrastructure to meet peak demands—You only pay for what you use. With Red Hat OpenShift, you can autoscale resources and use eventing to scale your applications and workflows automatically. In conjunction with HPE GreenLake, you can gain scalable capacity to support those workloads, scaling compute and storage as the platform requires them—even scaling down to zero. And all this can be accomplished with fully managed cloud services from HPE designed to deliver a cloud-consumption model on premises and expanding to the edge.

Organizations are deploying a wide variety of mission-critical workloads on Red Hat OpenShift, ranging from databases and data caching to analytics and AI and ML. With HPE GreenLake, you can accelerate your workload deployment, driving even faster business outcomes. You set the cadence, choosing the service levels and workloads you need to support, and you can estimate and compare services using a guided online pricing tool to make the right decision for your company. Once you’ve placed your order, expect a fast turnaround. HPE GreenLake orders are prioritized and accelerated through the pipeline to  deliver a solution to your edge, datacenter, or colocation quickly. Experts from HPE and their service providers will install and configure your solution, and you’ll be ready to go within minutes of connecting to your network.

How Do I Get Started?

Accelerating your application modernization and IT digital transformation strategy doesn’t have to be a Herculean effort. Talk with HPE and Red Hat architects about how we can help. Engage with us in a discovery session, and we can set up a workshop tailored to your individual requirements. Discover how easy and cost effective your journey can be with Red Hat and HPE GreenLake. Start at, and contact us to embark on the next step in your journey.

1  Pulse, sponsored by Red Hat. “State of workloads adoption on containers and Kubernetes,” November 2021.


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