Any way to check in the app what is using all this ram?

[natzilla]

A week or so will go by and my ram usage will increase to this large amount, and it doesn't seem to help the app as it starts to hang, or not be very responsive.

Restarts of the app corrects the usage.

[nebulon]

Which app are you talking abou here?

[natzilla]

@nebulon This would be Jellyfin specifically.

[nebulon]

@natzilla you may have to seek help with the jellyfin app then to see if they have rather huge memory leaks of sorts.

[girish]

That seems like an extraordinarily large amount of RAM for a single app! If you open a web terminal to jellyfin , you can use tools like top/ps to see which process is using so much memory.

[jdaviescoates]

@girish I know very little about Jellyfin other than it's a powerful media app. Perhaps it's downloads and then processing large amounts of video?

[natzilla]

@girish When it gets back up I will check this

[natzilla]

@jdaviescoates Jellyfin has cron jobs to remove transcoded cache or recently activity that is no longer used. I don't believe it has to do with the media, but I feel it will be hard to locate the problem.

[natzilla]

@girish It looks like there might be a miss representation on the graphs?

My performance appears to be ok for moment on it. so my correlation might be off in terms of my issue, but I think here it might be not picking up the correct ram usages. What do you think?

[girish]

@natzilla Can you post the output of docker stats on the server ? Just the jellyfin container output should be enough. Maybe something going wrong with the parsing.

[natzilla]

@girish Here you are

CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS
2058a37598b0 7d771f27-4c9e-48ff-b0ff-3c742305adb3 2.28% 27.12GiB / 29.12GiB 93.14% 1.01GB / 263GB 132GB / 65.5GB 56

[girish]

@natzilla Was trying to check if we hit some parsing error in the code. Can you give me the output of docker stats --format "{{ json . }}" --no-stream --no-trunc | grep 2058a37598b0 ?

[natzilla]

@girish as requested

{"BlockIO":"171GB / 83.4GB","CPUPerc":"0.14%","Container":"2058a37598b0","ID":"2058a37598b013a36a5a3d05a362e96dc4ad212dec1d5db162e372979bc47c38","MemPerc":"84.77%","MemUsage":"24.68GiB / 29.12GiB","Name":"7d771f27-4c9e-48ff-b0ff-3c742305adb3","NetIO":"1.27GB / 410GB","PIDs":"57"}

[girish]

@natzilla So, the values in the graph come from the json you posted. Specifically "MemUsage":"24.68GiB / 29.12GiB" . (memory used / memory max) . This sort of matches what's displayed in the graph.

[natzilla]

@girish ok, it must really be using that much then. Seems pretty crazy, but I will check with Jellfin devs regarding this.

[robi]

what host are you running your VPS on?

[natzilla]

@robi Cloudron and all the apps run on a R720XD

[robi]

@natzilla I was asking who the provider was, as sometimes they have a virtualization platform that can cause this as a way to reclaim memory for the underlying host from hungry VMs, etc.

[natzilla]

@robi I'm not hosting it in the cloud. Sorry I should have made that clear.

[robi]

@natzilla ok, so it's on a bare metal server with no virtualization layer in between.