HP Insight Cluster Management Utility

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HP Insight Cluster Management Utility (CMU) is an efficient and robust hyperscale cluster lifecycle management framework and suite of tools for large Linux clusters such as those found in High Performance Computing (HPC) environments.  A simple graphical interface enables an ‘at-a-glance’ view of the entire cluster across multiple metrics, provides frictionless scalable remote management and analysis, and allows rapid provisioning of software to all the nodes of the system.  Insight CMU makes the management of a cluster more user friendly, efficient, and error free than if it were being managed by scripts, or on a node-by-node basis. Insight CMU offers full support for iLO2, iLO3, iLO4 and LO100i adaptors on all the ProLiant HP servers in the cluster.

Insight CMU is highly flexible and customizable, offers both GUI and CLI interfaces, and is being used to deploy a range of software environments, from simple compute farms to highly customized, application-specific configurations.  Insight CMU is available for HP ProLiant and HP BladeSystems, with Red Hat Enterprise Linux and Novell SUSE Linux operating systems, including Red Hat Enterprise Linux, Suse Linux Enterprise, CentOS, and Ubuntu. Insight CMU also includes options for monitoring GPUs and for installing GPU drivers and software.

• One-to-N user interface - the industry’s leading cluster GUI and command-line-interface.
  • A system admin can click-select a set of servers and groups for cloning, managing or monitoring thousands of servers at once.

• Cloning
  • Choose one server and replicate its image over N servers in the cluster. CMU can clone a thousand servers in less than half an hour

• Remote management
  • Choose one set of commands or scripts and execute them on N servers with a single mouse-click.

• Monitoring
  • Choose, with one click per sensor, to display real-time metrics for N servers in a pie-chart format or in a 3D tubular display designed for optimal display of data-collections.
  • Configure alerts to cause threshold-triggered actions

• Cluster diagnostics
  • Verify that the components, connections and interactions of the cluster infrastructure are all working correctly and at full performance.

• Extensible menu of common cluster operations
  • A default drop-down menu of commands includes power on/off, firmware installation, parallel distributed shell and unattended Linux installation.
  • Simple file-edits can be used to add operations to the menu

• Scalable performance
  • Hierarchical ultra-lightweight cloning and monitoring operations are automatically done in parallel.

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