IBM unveiled a product today that’s designed to help enterprises use open source technologies to bring a cloud deployment model to their private datacenters. Appropriately called Cloud Private, the system is designed to help businesses orchestrate modern applications on their existing infrastructure using Kubernetes and Cloud Foundry, a pair of popular open source tools. It’s […]
IBM unveiled a product today that’s designed to help enterprises use open source technologies to bring a cloud deployment model to their private datacenters.
Appropriately called Cloud Private, the system is designed to help businesses orchestrate modern applications on their existing infrastructure using Kubernetes and Cloud Foundry, a pair of popular open source tools. It’s a move by the tech company to try and provide a consistent technology platform for building applications, so it’s easier for business users to move their workloads to and from the public cloud.
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This is technically the second version of Cloud Private, which IBM launched as an open source project earlier this year. This release includes a number of important features, including support for containers like WebSphere, DB2, and MongoDB. That’s particularly important for customers who have legacy workloads and want to move them to a more modern platform.
In addition, it also adds support for running Cloud Foundry in addition to Docker containers, which makes the system compatible with a wider variety of workloads.
Customers will be able to pay for Cloud Private’s enterprise edition in two ways: the first is a traditional license for the software plus an ongoing service contract, similar to other enterprise software products. A second option will allow customers to negotiate an ongoing flat fee, while the second will allow customers to pay an agreed-upon subscription for a particular amount of compute usage, with the ability to scale up their workloads for an additional charge.
The second pricing model was designed to give customers a cloud-like experience that allowed them to pay for what they used, while also maintaining some price predictability so that enterprises aren’t on the hook for massive cost spikes.
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