Bright Computing Highlights Version 7.2 of Industry-Leading Bright Cluster Manager Software Solutions at 2016 Rice Oil & Gas HPC Conference

Industry-leading software helps oil and gas companies meet critical business challenges

San Jose, CA – Bright Computing, the leading provider of hardware-agnostic cluster and cloud management software, announces it will be highlighting its industry-leading Bright Cluster Manager for HPC and Bright Cluster Manager for Big Data at the 2016 Rice Oil & Gas High Performance Computing (HPC) Conference. The event will be held March 2-3, 2016 at Rice University, in Houston, TX. As a bronze sponsor of the event, Bright will be on hand to discuss how the newly released Version 7.2 helps oil and gas industry companies use high-end computing and information technology to perform highly sophisticated calculations on geological and seismic data.

Come see us at the event to learn how Bright Cluster Manager for HPC enables users to deploy complete HPC clusters over bare metal or in the cloud, and manage them effectively. Offering a single pane of glass management for the hardware, the operating system, HPC software, and users, Bright Cluster Manager for HPC helps system administrators get their clusters up and running quickly and keep them running reliably throughout their life cycle.

The latest updates featured in Version 7.2 include greatly enhanced support for running containers on nodes using Docker. Administrators and other users can use Bright Cluster Manager to easily set up a web workload orchestration system or to run other containerized workloads with Kubernetes. Administrators can configure the system, add new users, monitor the system, and easily update it. Other updates include improved integration with Puppet to simplify fine-grained control over individual nodes, ZFS support to provide a robust alternative to BtrFS for software image revision control, and support for Intel Omni-Path.

Also showcased is Version 7.2 of Bright Cluster Manager for Big Data, which greatly improves integration and features enhanced support for Apache Spark™, ideal for large-scale data processing in oil exploration applications. As a fast and general processing engine compatible with Hadoop data, Spark can run in Hadoop clusters through YARN or in a standalone mode. Version 7.2 also integrates with the latest releases from Apache, Cloudera, and Hortonworks, offering built in integration for such components as Apache Accumulo, Apache Kafka, Apache Pig, and Apache Storm. New tools like Apache Drill, Apache Flink, Apache Zeppelin, and the Tachyon open source memory-centric distributed storage system are now also supported.

“Across the energy sector, companies rely on Bright Computing to deploy and manage the high performance computing and big data IT infrastructures that underpin energy delivery,” said Bright Computing’s CEO, Bill Wagner. “This event is a great place to discuss how Bright Cluster Manager solutions can help oil and gas companies manage clustered and cloud-based IT infrastructure so they can use advanced computing and analytical techniques to identify energy sources and accelerate their delivery.”


About Bright Computing

Bright Computing is the leading provider of hardware-agnostic cluster and cloud management software in the world. Bright Cluster Manager™, Bright Cluster Manager for Big Data™, and Bright OpenStack™ provide a unified approach to installing, provisioning, configuring, managing, and monitoring HPC clusters, big data clusters, and OpenStack clouds. Bright’s products are currently deployed in more than 500 data centers around the world. Bright Computing’s customer base includes global academic, governmental, financial, healthcare, manufacturing, oil/gas/energy, and pharmaceutical organizations such as Boeing, Intel, NASA, Stanford University, and St. Jude Children’s Research Hospital. Bright partners with Amazon, Cray, Dell, Intel, Nvidia, SGI, and other leading vendors to deliver powerful, integrated solutions for managing advanced IT infrastructure such as high performance computing clusters, big data clusters, and OpenStack-based private clouds.