Cluster System Management (CSM)

CSM is a cognitive self learning system for managing and overseeing a HPC cluster. CSM interacts with a variety of open source IBM tools for supporting and maintaining a cluster, such as:

• Discovery and management of system resources
• Database integration (PostgreSQL)
• Job launch support (workload management, cluster, and allocation APIs)
• Node diagnostics (diag APIs and scripts)
• RAS events and actions
• Infrastructure Health checks
• Python Bindings for C APIs

Table of Contents

• User Guide
  • Introduction
  • CSM Database
  • CSM Infrastructure
  • Compute node states
  • Job Launch
  • CSM REST Daemon
• Installation and Configuration
  • Introduction
  • Pre-Requisites
  • Updating from a previous version
  • Installation
  • Configuration
  • Uninstallation
  • Appendices
• APIs
  • Installation
  • Configuration
  • List of CSM APIs
  • Implementing New CSM APIs
  • CSM API Python Bindings Guide
  • Soft Failure Recovery
  • Change Log
• Database
  • CSM Database Appendix
  • Using csm_db_history_archive.py
  • Using csm_db_backup_script_v1.sh
  • Using csm_db_connections_script.sh
  • Using csm_db_history_delete.py
  • Using csm_db_schema_version_upgrade_19_0.sh
  • Using csm_db_script.sh
  • Using csm_db_stats.sh script
  • Using csm_ras_type_script.sh
• Infrastructure
  • CSMD Executable
  • CSMD Configuration
• Inventory
  • GPU Inventory
  • Network Inventory
  • Node Inventory
• External Integration
  • Mellanox and Infiniband
• Tools
  • CSM logging tools
  • CSM standalone inventory collection