However, if you are experiencing low memory and high CPU utilization, you may have an overburdened server. If your server seems to run properly, then the high CPU utilization may just be a spike in activity and can just be monitored. If you observe noticeable performance problems, they you need to investigate further. However, it is an indication performance may be suffering. 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.It's not necessarily a bad thing to have high CPU utilization on a Linux server. 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.
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