Bright Computing Highlights Version 7.2 of Bright Cluster Manager Software Solutions at EnterpriseHPC 2016

March 18, 2016

SAN JOSE, Calif., March 18 — Bright Computing, the leading independent provider of 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 EnterpriseHPC 2016. The event will be held March 20-22, 2016 at the Paradise Point Resort & Spa, in San Diego, CA. Bright will be co-sponsoring and co-exhibiting with System Fabric Works (SFW), an independent systems integrator, working with technologists in development, research and production environments.

Bright and SFW will jointly present High Performance Converged Infrastructure for the Enterprise on Monday March 21st. The talk will focus on how the two companies successfully helped a company meet its Big Data challenges by removing performance bottlenecks and developing an easy to use management system that is easily scalable to meet future growth projections.

Bright will be on hand to discuss how the newly released Version 7.2 helps enterprises of all types build and maintain next-generation enterprise infrastructures. 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.

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. 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.

“Bright Cluster Manager is the most powerful, vendor-independent cluster management software solution available” said Bright Computing’s CEO, Bill Wagner. “This event is a great place to discuss how Bright Cluster Manager’s intuitive management console, scalable architecture, and breadth of integration can help address today’s advanced scale computing challenges.”

About Bright Computing

Bright Computing is the leading independent provider of 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.

Source: Bright Computing

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