metaer.blogg.se - Shell script to monitor cpu and memory usage in linux

TOTAL_USED_MEM=$(( $TOTAL_MEM - $AVAILABLE_MEM )) Step 3: Create memory_util function function memory_util ()īUFFCACHE_MEM=$(free -m | awk '/Mem/ ')

disk_util will tell the disk used and disk available of the root partition and home partition.

cpu_util will give information about CPU load and CPU usage and tell whether the CPU is performing well or not.

memory_util will give information about Available memory, Free memory, Memory Used Percentage, etc., as well as reports on whether the memory is healthy or not.

The main function will call three functions as follows : Step 2: Create Main Function function main () Open the file and add the following script : #!/bin/bashĮcho "The valid syntax is.

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Data Structure & Algorithm Classes (Live).I use the above code in my cpu_logger.py script in my eRCaGuy_dotfiles repo. Warning: the first time this function is called with interval = 0.0 or None it will return a meaningless 0.0 value which you are supposed to ignore. The order of the list is consistent across calls. First element of the list refers to first CPU, second element to second CPU and so on. When percpu is True returns a list of floats representing the utilization as a percentage for each CPU. In this case it is recommended for accuracy that this function be called with at least 0.1 seconds between calls. That means the first time this is called it will return a meaningless 0.0 value which you are supposed to ignore. When interval is 0.0 or None compares system CPU times elapsed since last call or module import, returning immediately. When interval is > 0.0 compares system CPU times elapsed before and after the interval (blocking). Return a float representing the current system-wide CPU utilization as a percentage. Psutil.cpu_percent(interval=None, percpu=False) Individual CPUs: 11.00% 8.50% 11.90% 8.50% 9.90% 7.60% 11.50% 12.30%įor more information on how the psutil.cpu_percent(interval=2) python call works, see the official psutil.cpu_percent(interval=None, percpu=False) documentation here: Sample output: notice that I have 8 cores, so there are 8 numbers after "Individual CPUs:": Total: 10.15% printf "%b" "import psutil\nprint(''.format(' '.join(cpu_percent_cores_str)))\n\ This calls python3 and uses the cross-platform psutil module.