The HPE Performance Cluster Manager (HPCM) Foundations course provides knowledge and practice in cluster operation areas such as navigating the HPCM graphical user interface (GUI), monitoring cluster components, operating system boot modes and root filesystem modes, cluster power management, running commands on multiple servers, connecting to server consoles, and backing up the cluster configuration.
Linux Fundamentals (GL120) U8583S or equivalent Linux or VMware experience
Module 1: Cluster Components
• Describe HPCM
• Describe clusters
• Describe clusters (flat) and distributed (hierarchical) clusters
• Define management, data and rack networks
• List cluster components
– Admin node
– Compute nodes
– Rack leader nodes
– ICE compute nodes
– Chassis management controllers (CMCs)
– Management interfaces (iLO, LO100i, BMC)
– Management of Ethernet switches
– Fabric switch switches and blades
– Smart PDUs
– Storage
Module 2: HPCM GUI
• Locate system groups
• Locate network groups
• Review image groups
• Use custom groups
• Manage nodes
• SSH to nodes
• Shutdown node
• Power off node
• Reboot node
• Illuminate the locate beacon to identify the chassis
• Run tasks on multiple systems
• Monitor the cluster
• Run commands to apply load on nodes
• View left chart to display CPU load
• View right chart to display memory usage
• Focus on single node
• Focus on group of nodes
• Switch to bar graph or table view
• Turn metrics off and on
• Use Ganglia to monitor cluster
• Use Nagios to monitor cluster
• Manage cluster power
• Monitor node power consumption
• Monitor job power consumption
• Monitor system power consumption
Module 3: Operating System Boot Modes and Root Filesystem Modes
• Describe disk mode
• Describe PXE mode
• Describe disk, nfs and tmpfs root file system mode
Module 4: Running Commands to Gather Information on the Cluster
• Describe pdsh
• Use pdsh commands to interrogate the cluster
• Describe output, interleaved stdout, stderr
• Review predefined pdsh node groups
• Add a pdsh node group
• Run a command with the new pdsh node group
• Run a command using the exclude node group format
• Format output from pdsh commands with dshbak –c
• Copy a file to all compute nodes, to all leader nodes, to all ice-compute nodes,
• Retrieve a file from all compute nodes, from all leader nodes, from all ice-compute nodes
• Work with HPCM connector to job scheduler
• Search central log repository
Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.