Delivering the Complete Open-Source Cloud Infrastructure and Software-Defined-Storage Story

Authored by Neil Levine, Director Product Marketing, Red Hat and Sean Cohen, Principal Technical Product Manager, Red Hat

The OpenStack summit in Paris not only marks the release of Juno to the public but also the 6 month mark since Red Hat acquired Inktank, the commercial company behind Ceph. The acquisition not only underscored Red Hat’s commitment to use open source to disrupt the storage market, as it did in the operating system market with Linux, but also its investment in OpenStack where Ceph is a market leading scale-out storage platform, especially for block.

Even prior to the acquisition, Inktank’s commercial product – Inktank Ceph Enterprise – had been certified with Red Hat Enterprise Linux OpenStack Platform and over the past 6 months, the product teams have worked to integrate the two products even more tightly.
Delivering the complete Open-Source Cloud Infrastructure and Software-Defined-Storage story
The first phase of this work has been focused on simplifying the installation experience. The new Red Hat Enterprise Linux OpenStack Platform installer now handles configuration of the Ceph components on the controller and compute side, from installing the packages to configuring Cinder, Glance and Nova to creating all the necessary authentication keys. With the Ceph client-side components now directly available in RHEL OpenStack Platform, much of what was a manual effort has now been transformed & automated. In addition the RHEL OpenStack Platform installer also takes responsibility for the configuration of the storage cluster network topology and will boot and configure the hosts that will be used by the Ceph storage cluster.

The Inktank Ceph Enterprise installer has also been modified to take pre-seeded configuration files from RHEL OpenStack Platform and use them to build out the storage cluster. With some of the Ceph services architected to run co-resident on the controller nodes, the number of physical nodes needed has been reduced without sacrificing security of performance.

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