![]() Your older Ubuntu version might have cgroups v1, in which case the paths differ - have a look at the docs for that: for cgroups in general, for cgroup v1 memory controller. You can also differentiate between system and user (my current graphical session on my laptop, where I write this, would be in user) by using /sys/fs/cgroup/system.slice/memory.stat/. To learn more about Linux memory consumption and the explanation between the difference of used and actual RAM usage, check out this great site: Linux Ate. sys/fs/cgroup/system.slice/rvice/memory.stat, giving you the memory for everything in rvice (the process for this service and everything started by that). ![]() To do so, type the following at a shell prompt: free. The free command allows you to display the amount of free and used memory on the system. If you want that per systemd service, you can use e.g. A Red Hat training course is available for Red Hat Enterprise Linux. The most interesting one for you is memory.stat, from which the first line anon $someNumber is probably the most interesting value (giving you bytes of memory in use that are not backed by files and thus cannot be removed from memory anywhere else than swap). In this setup, the metrics systemd_process_resident_memory_bytes, systemd_process_virtual_memory_bytes and systemd_process_virtual_memory_max_bytes would probably be the interesting ones.Ĭgroups (all of this depending on v2) have a file system under /sys/fs/cgroup in which you can query a lot of information. One extremely easy way to see what processes are using the most memory is to start top and then press shift+m to switch the. Try cat /proc//status to get information about a process with a given PID (process ID). One of the best commands for looking at memory usage is top.Youâll want to measure the current usage, and then youâll need to ensure itâs using less memory once you make some improvements. ![]() ![]() Based on the answer by Halfgaar, doing the simple hacky way but without systemd status | grep somethingįirst I would strongly advise using a monitoring solution of some kind - installing Prometheus systemd-exporter should be quite easy and running Prometheus on any other machine to retrieve the stats should be to - could even be on a device at home/corp for just as long as you debug this issue. We can also check the memory usage of a specific process. Measuring memory usage in Python: itâs tricky If you want your program to use less memory, you will need to measure memory usage.
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