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IBM Announces Kubernetes-based IBM Cloud private platform

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We’re excited to announce the release of IBM Cloud private, a new way to deliver and run your elastic workloads in your own trusted data centers.

At IBM, we’re focused on delivering cognitive solutions across cloud environments. Many of our enterprise clients are changing rapidly due to an ever-increasing digital marketplace, which is driven by rapid improvements to how businesses engage their customers with innovative technology.

We recently announced support for running Kubernetes on the IBM Cloud, and today we are making it easier to run Kubernetes in your own data center, particularly if you use either VMWare vSphere or OpenStack clouds within it.

Through discussions with our extensive set of enterprise clients, we identified three primary workloads that they are moving into elastic runtimes like Kubernetes.

Clients often categorize their workloads into three styles:

  1. Workloads that follow traditional architectural patterns and are still under active development or maintenance but need greater elasticity or better cost efficiencies.
  2. Workloads that are core to the business but require minimal extra development investment.
  3. New workloads that are developed to support the digital transformation of the enterprise and drive greater customer engagement through cognitive solutions or improved user interfaces.

IBM Cloud private makes it easy to stand up an elastic runtime that is based on Kubernetes to address each of these workload styles. You can:

  1. Deliver packaged workloads for traditional middleware. IBM Cloud private initially supports IBM Db2, IBM MQ, Redis, and several other open source packages that are available from the community. These exciting new packages are only the first of many to come. Get involved with our community on GitHub.
  2. Support API connectivity from 12-factor apps to managed API endpoints within your existing datacenter. With API Connect, you can manage your API from existing apps and expose it securely within your cluster.
  3. Support your development and delivery of modern 12-factor apps with Microservice Builder.

Along with great capabilities to run enterprise workloads, we’re also delivering enhanced support to run CPU-intensive capabilities like machine learning or data analytics quickly by taking advantage of GPU clusters.

The first release of IBM Cloud private is built on established capabilities, by the re-branding of IBM Spectrum Conductor for Containers to serve as the foundation of our private cloud platform. We will continue to offer a free version for evaluation under the name IBM Cloud private-ce (community edition).

Today’s release offers an improved experience for enterprises who want to run and manage their own elastic runtimes within their datacenters. We make it easy to get started with IBM Cloud private-ce, so within a few minutes, you can transform a collection of hosts into a running Kubernetes cluster.

We also invite you to join our open community on ibm-cloud-tech.slack.com and give us your feedback. We’re excited about this direction and continuing this journey with our clients and the community.































































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