The following is a screenshot of a section of the glances monitoring tool on a Debian Linux server showing CPU utilization statistics. To install glances on your Linux distribution, run: $ sudo apt install glances Glances is an open-source real-time monitoring utility that monitors several aspects of your Linux system such as CPU, memory, disk, and network usage. If there is anything else I can do to try and get more info let me know, happy to help.There are several command-line-based and graphical user interface tools for monitoring CPU usage on a Linux system such as top, glances (my favorite), htop, and more. My two machines (i7-10th gen and ryzen 3700x) both exhibit similar behavior.

I tried to open up the dev tools to try and get a profile, but the entire window becomes non-responsive when the behavior starts.Īll of our Debian based users are seeing this on the desktop client. To the point that if I can type, there is a delay of a few seconds between when I press a key and when it is rendered. When the first process has the CPU and is pinning it, the mattermost UI becomes extremely sluggish or outright non-responsive. exhibit what looks like a pretty standard GC sweep (significant CPU usage across all cores and a dramatic drop in resident memory), this lasts less than a second. Once the mattermost-desktop -enable-crashpad process lets go of the CPU I see the process with args mattermost-desktop -type=renderer -enable-crashpad -enable-crashreporter. Memory usage on that process does not climb appreciably.

When i switch contexts the process with args: mattermost-desktop -enable-crashpad goes to 100% CPU usage for about 3-5s. The easiest way to cause this is just switching back and forth between teams.

Any action that causes a desktop notification to fire.

Going from one direct message to another.

Other members of my team that are using the Mac client do not see the excessive CPU usage, nor do people running on a browser.Īfter some more measured digging, I am seeing this any time I switch contexts.

Linux see cpu usage