Retrieving Statistical Data from Suse Linux Enterprise for HPC version 15-SP4
Budget: $30 – $250 USD
I am currently seeking assistance in gathering statistical data from SUSE Linux Enterprise for the High-Performance version 15-SP4. The aim is to retrieve specific data points using utilities provided within the operating system as we do not have a monitoring application installed. I am unable to grant remote access; hence, I need guidance on running commands to gather the required information.
Specific Data Retrieval:
- Number of Users for Each Month over the Past 2 Years: I require statistical data showing the number of users accessing the system each month for the past 24 months.
- System Resources Usage per User: Detailed statistics on the system resources (CPU, memory, etc.) used by each user.
Data Format:
- The retrieved statistical data should be provided in Excel format.
Ideal Skills and Experience:
- Proficiency in Suse Linux Enterprise for HPC version 15-SP4.
- Experience in retrieving and analyzing statistical data.
- Strong knowledge of system monitoring and data retrieval tools.
- Ability to work with Excel and provide data in the desired format.
Given the constraints, I am seeking command-based solutions or scripts that will enable me to extract this information directly from the SUSE Linux system. The results obtained will be shared to proceed further.
Specific Data Retrieval:
- Number of Users for Each Month over the Past 2 Years: I require statistical data showing the number of users accessing the system each month for the past 24 months.
- System Resources Usage per User: Detailed statistics on the system resources (CPU, memory, etc.) used by each user.
Data Format:
- The retrieved statistical data should be provided in Excel format.
Ideal Skills and Experience:
- Proficiency in Suse Linux Enterprise for HPC version 15-SP4.
- Experience in retrieving and analyzing statistical data.
- Strong knowledge of system monitoring and data retrieval tools.
- Ability to work with Excel and provide data in the desired format.
Given the constraints, I am seeking command-based solutions or scripts that will enable me to extract this information directly from the SUSE Linux system. The results obtained will be shared to proceed further.