HP Insight CMU Adds Support for Moonshot Servers

After yesterday’s big coming out party for HP’s new Moonshot servers in New York City, lets take a look at how HP Insight Cluster Management Utility (CMU) can be used to manage the Moonshot 1500 chassis and Moonshot servers.

Originally developed for the provisioning, monitoring, and management needs of HPC clusters, and used by many systems on the Top500 list, CMU has rapidly expanded its capabilities in recent years and is now the tool of choice for many HP hyperscale customers, not only for HPC, but also for other scale-out workloads like Hadoop. Look closely at the screen shot below and you can see how CMU’s 3-D Timeview display correlates Hadoop Map and Reduce progress with CPU, disk, and other system metrics.

As shown in the top figure, the HP Moonshot 1500 chassis management module provides standard IPMI and serial console capabilities for each Moonshot server. But with up to 180 servers in a chassis (future capability) and 1800 servers in a rack, a tool like CMU quickly becomes indispensable. Each Moonshot server cartridge, along with the Moonshot chassis cooling and power sub-systems and the chassis fabric, communicate with a shared chassis management module via satellite controllers (SC). The chassis management module works in conjunction with the satellite controllers to implement HP’s widely used iLO (integrated lights-out) management functionality in a scalable manner.

In addition to full support for the HP Moonshot 1500 chassis, CMU v7.1 introduces several important new features including:

  • efficient and scalable storage and visualization of all numerical monitored metrics for archived user groups
  • numerous GUI improvements including a significantly more efficient 3D Timeview display
  • a new automated installation tool
  • API improvements
  • Back-end improvements

    Finally, CMU v7.1 also introduces new support for monitoring Intel Xeon Phi co-processors.

    With all these improvements, CMU still manages to stay true to its core, and remains a simple, easy to use, sys-admin focused tool for provisioning, monitoring, and managing large clusters, which these days are not only limited to HPC clusters but clusters running Hadoop and now a new breed of Moonshot software defined servers.

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  • About Marc Hamilton

    Marc Hamilton – Vice President, Solutions Architecture and Engineering, NVIDIA. At NVIDIA, the Visual Computing Company, Marc leads the worldwide Solutions Architecture and Engineering team, responsible for working with NVIDIA’s customers and partners to deliver the world’s best end to end solutions for professional visualization and design, high performance computing, and big data analytics. Prior to NVIDIA, Marc worked in the Hyperscale Business Unit within HP’s Enterprise Group where he led the HPC team for the Americas region. Marc spent 16 years at Sun Microsystems in HPC and other sales and marketing executive management roles. Marc also worked at TRW developing HPC applications for the US aerospace and defense industry. He has published a number of technical articles and is the author of the book, “Software Development, Building Reliable Systems”. Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.
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