lsfmonitor_usage

Install, configure, and operate lsfMonitor components for HPC cluster monitoring.

66|20|Updated Jul 7, 2020
One-click install
npx skills add https://github.com/liyanqing1987/lsfMonitor --skill lsfmonitor-usage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lsfmonitor_usage
Source: https://github.com/liyanqing1987/lsfMonitor/tree/main/monitor/conf/skills/lsfmonitor_usage
Command: npx skills add https://github.com/liyanqing1987/lsfMonitor --skill lsfmonitor-usage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you correctly install, configure, and use the lsfMonitor toolchain for monitoring HPC clusters, so you can reliably collect metrics, inspect results, and troubleshoot common setup issues.

Core Features & Use Cases

  • Installation & Upgrade Guidance: Walks you through dependency setup, running install.py, selecting installation options (including memPrediction), and applying incremental patches.
  • Configuration Mastery (config.py): Explains key database, LSF command paths, and License/AI settings so the GUI, samplers, and AI components can function.
  • End-to-End Usage Across Components: Covers how to run bsample for periodic data collection, operate bmonitor for visualization, use CLI tools (akill/seedb/check_issue_reason/process_tracer/show_license_feature_usage/patch/rag_builder), and understand how the memPrediction and AI/RAG subsystems fit in.

Quick Start

Ask the AI for a complete lsfMonitor setup plan by saying: “Explain how to install lsfMonitor on my system, what to change in config.py, and which bsample crontab entries I should use for jobs, hosts, load, queues, utilization, and license monitoring.”

Frequently Asked Questions about lsfmonitor_usage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I install and configure lsfMonitor for HPC cluster monitoring?

Install lsfMonitor by running install.py and configuring config.py with correct database and LSF command paths. This setup enables periodic metric collection and GUI visualization for HPC monitoring.

What crontab entries should I use for periodic LSF data sampling?

Configure bsample crontab entries for jobs, hosts, load, queues, utilization, and license monitoring. This periodic sampling collects cluster metrics reliably for the bmonitor GUI and CLI tools.

How does the AI RAG subsystem work with lsfMonitor?

The AI RAG subsystem uses rag_builder to process collected metrics, enabling intelligent troubleshooting and issue prediction. This requires specific License and AI settings configured within config.py.

Can I use lsfMonitor CLI tools to troubleshoot cluster issues?

lsfMonitor provides CLI tools like akill, seedb, check_issue_reason, and process_tracer for troubleshooting. These tools inspect collected metrics to diagnose and resolve HPC cluster problems effectively.

What are the key config.py parameters needed for lsfMonitor setup?

Key config.py parameters define database paths, LSF command locations, and License/AI settings. Correct configuration of these parameters is required for the GUI, samplers, and AI components to function.

Does lsfMonitor support memory prediction for HPC nodes?

lsfMonitor includes the memPrediction module for memory prediction capabilities. You can select this option during installation by running install.py to enable memory forecasting for your HPC environment.