hpc_monitoring_cocpit

0. How to

Installation Procedure

• Download Node. js
  • Download the Node.js Installer from the official website at https://nodejs.org/en/download/.
  • Proceed with the installation process, ensuring both Node.js and NPM (Node Package Manager) are installed.
  • Confirm the successful installation by opening a command prompt (or PowerShell) and entering the command "node -v".
• Verify the availability of Python on your system.
• Check if PIP is already installed.
• Utilizing the GitHub platform, clone the desired project repository by executing the command "git clone https://github.com/zasab/hpc_monitoring_cocpit.git" and open the project in any Integrated Development Environment (IDE).

Execution Procedure

1. Run the "app.py" script and employ the "pip install" command to install all the required packages. You can find a list of some package requirements in the requirements.txt file. Just run (pip install pm4py==2.3.3 flask flask_api flask_cors hurry.filesize seaborn plotly pysftp paramiko pandas==1.5.3 networkx humanfriendly) to install all requirements.
2. Within the "DEV-front" directory, execute the commands "npm install" and "npm run dev" (Node.js is required).
   • Open the URL indicated as "⇒ Local:" in your web browser to access the application.

1. Overview

The tabs labeled Process Mining and JOBID-STATE process model contain fascinating analysis on process mining.

Discover a model that shows the executed commands by a bunch of accounts in a particular project.

OR find a model that shows the commands used by a particular account.

You can find interesting insights in the discovered model that shows the lifecycle of job execution on SLURM.

You can find interesting analysis in BI and BI(dotted charts) tabs