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C12G Launches OpenNebula Pro 3.8

New Stable Version of the Enterprise Edition of OpenNebula

C12G Labs has just announced a new release of OpenNebulaPro, the enterprise edition of its widely-deployed open-source management solution for enterprise data center virtualization and private cloud computing. OpenNebulaPro integrates the most recent stable version of OpenNebula (3.8) with bugfixes, performance, and scalability patches developed by the community and by C12G for its customers and partners. OpenNebula 3.8 (codename Twin Jet), released one month ago, enhances its AWS and OCCI API implementations and provides a tighter integration with VMware and KVM.

C12G also announces the first stable release of the OpenNebulaApps, a suite of tools for users and administrators of OpenNebula to simplify and optimize cloud application management. OpenNebulaApps provides a service management layer on top of OpenNebula by configuring the software stack in the applications, managing multi-tiered applications, providing configurable services from a catalog, and building your own private market to distribute applications across several OpenNebula instances. Cloud applications consist of complex software stacks, OpenNebulaApps helps to manage their life-cycle and contributes to significantly reduce the time needed to build, distribute, and deploy cloud applications.

According to C12G's latest Cloud Architecture Survey, the majority of OpenNebula deployments, 43 percent, are in business accounts compared to 17 percent in research, and less than 10 percent in academia. Moreover most of the surveyed organizations are using their OpenNebula cloud for running production workloads. OpenNebulaPro provides these corporations, research centers and governments with a hardened, certified, long-term supported cloud platform. Compared to OpenNebula, the expert production and integration support of OpenNebulaPro and its higher stability increase IT productivity, speed time to deployment, and reduce business and technical risks.

More Stories By Ignacio M. Llorente

Dr. Llorente is Director of the OpenNebula Project and CEO & co-founder at C12G Labs. He is an entrepreneur and researcher in the field of cloud and distributed computing, having managed several international projects and initiatives on Cloud Computing, and authored many articles in the leading journals and proceedings books. Dr. Llorente is one of the pioneers and world's leading authorities on Cloud Computing. He has held several appointments as independent expert and consultant for the European Commission and several companies and national governments. He has given many keynotes and invited talks in the main international events in cloud computing, has served on several Groups of Experts on Cloud Computing convened by international organizations, such as the European Commission and the World Economic Forum, and has contributed to several Cloud Computing panels and roadmaps. He founded and co-chaired the Open Grid Forum Working Group on Open Cloud Computing Interface, and has participated in the main European projects in Cloud Computing. Llorente holds a Ph.D in Computer Science (UCM) and an Executive MBA (IE Business School), and is a Full Professor (Catedratico) and the Head of the Distributed Systems Architecture Group at UCM.

@ThingsExpo Stories
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 19th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo Silicon Valley Call for Papers is now open.
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I wanted to gather all of my Internet of Things (IOT) blogs into a single blog (that I could later use with my University of San Francisco (USF) Big Data “MBA” course). However as I started to pull these blogs together, I realized that my IOT discussion lacked a vision; it lacked an end point towards which an organization could drive their IOT envisioning, proof of value, app dev, data engineering and data science efforts. And I think that the IOT end point is really quite simple…
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