With Rackspace’s Kubernetes-as-a-Service, customers can scale their Kubernetes environments at their own pace in nearly any data center in the world, including their own. Credit: Getty Images HPE and Rackspace are building on their alliance from last November, when they first introduced an OpenStack-based pay-per-use system designed to compete with public cloud providers. The two now offer pay as you go to Rackspace’s VMware and Kubernetes private cloud services. Rackspace launched its Kubernetes private cloud managed service just last month. The initial pay-as-you-go system was for standard server-side apps. This new feature adds Kubernetes container management as an option. Rackspace has deployed HPE’s new GreenLake Flex Capacity service to provide the pay-as-you-go pricing model. GreenLake is one of many programs by enterprise hardware vendors to provide on-demand pricing to companies looking to rein in data center costs. Rackspace is more of a connection manager and provider, but it does have its own data centers. It manages private cloud infrastructure in the client’s own data centers, in third-party colocation facilities such as Equinix, or at Rackspace’s own data centers. In addition to the pay-as-you-go service, Rackspace notes customers maintain the architectural and data control benefits of a private cloud environment while still being able to rapidly scale their private cloud capacity in a public cloud-like manner. Customers will have the flexibility to scale their Kubernetes environments at their own pace in nearly any data center in the world, including their own. Rackspace offers daily maintenance and helps ensure uptime by doing all the patching and hardware management. It also secures the Kubernetes containers using industry best practices to validate and vet each component of the service, provide static container scanning, and ensure only authorized users can access the environment. VMware-based Private Cloud as a Service In addition to the Kubernetes service, Rackspace announced a VMware-based private cloud service offering. The company first launched its Private Cloud as a Service (PCaaS) with HPE in November. But that was built on an OpenStack cloud consumption billing model. This new PCaaS is built on a VMware-virtualized and container-based infrastructure that runs on-premises of the customer, in a colocation facility, or in a Rackspace data center. The service is metered and billed solely on usage. This further builds on the relationship Rackspace has with VMware. Last August, it said it would offer its Fanatical Support for VMware Cloud on Amazon Web Services (AWS) through VMware’s Managed Service Provider (MSP) program. VMware Cloud on AWS enables customers to run applications across VMware vSphere-based private, public and hybrid cloud environments, with optimized access to AWS services. It offers a multi-cloud choice, so customers can choose to run their VMware workloads out of the data center that best suites the application, ranging from their own data center to Rackspace data centers or VMware Cloud on AWS. Both the Kubernetes services and VMware private cloud will become available later in the summer. Related content news analysis AMD launches Instinct AI accelerator to compete with Nvidia AMD enters the AI acceleration game with broad industry support. First shipping product is the Dell PowerEdge XE9680 with AMD Instinct MI300X. By Andy Patrizio Dec 07, 2023 6 mins CPUs and Processors Generative AI Data Center news analysis Western Digital keeps HDDs relevant with major capacity boost Western Digital and rival Seagate are finding new ways to pack data onto disk platters, keeping them relevant in the age of solid-state drives (SSD). By Andy Patrizio Dec 06, 2023 4 mins Enterprise Storage Data Center news Omdia: AI boosts server spending but unit sales still plunge A rush to build AI capacity using expensive coprocessors is jacking up the prices of servers, says research firm Omdia. By Andy Patrizio Dec 04, 2023 4 mins CPUs and Processors Generative AI Data Center news AWS and Nvidia partner on Project Ceiba, a GPU-powered AI supercomputer The companies are extending their AI partnership, and one key initiative is a supercomputer that will be integrated with AWS services and used by Nvidia’s own R&D teams. By Andy Patrizio Nov 30, 2023 3 mins CPUs and Processors Generative AI Supercomputers Podcasts Videos Resources Events NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe