Hello all.
I’m wondering if this is a normal behaviour.
Synology DS423+
Running Version 1.42.2.10156
During a credit detection; CPU @ 25% for ~15 minutes.
Then
Last 2-4 minutes CPU spiked to ~90% , before switching to next movie’s credit.
I think I remember it was at around 45% or I may missed the last 2-4 minutes.
(Ignore the bright teal ring)
Thanks yall
Yes, it is normal.
Some background tasks use a lot of CPU.
They take longer when running on devices with low-power CPUs such as Synology NAS.
The CPU utilization can also be a bit misleading.
The Celeron J4125 in the DS423+ has four cores.
Some tasks are single threaded, so they use only one core.
If you see CPU utilization at 25%, it can be an individual task using 100% of a single core, which is 1/4 of the total CPU.
If you really want to dig in, you can SSH to the NAS and use top or htop to see cpu/memory/etc. utilization for individual processes.
But what you are seeing is normal.
or you can use the “Resource Monitor”, it have a ‘task manager’ showing all tasks, kind of like in Windows
Thanks y’all. I monitored the CPU during the credit detection and it was not 90%.
There are also Grafana based dashboards that can give ungodly amounts of metrics about your Synology device with collectors running in a handful of low resource containers like this, I have mine collecting data every 15 seconds and keeps 14 days of data.
I know the screenshot above just says “Processes” but they can log all processes at each point the data is collected. Data collection for everything when that is turned on is about 0.04s so system impact is negligible and you would be able to increase\decrease the visible time range up to and down to what you configure the collection frequency and data retention (in my case the down to last 15 seconds so see almost right now and all the way up to 2 weeks so see longer term trends).
So with that you’d know what processes are using the most CPU and how much and for how long and when. Perhaps something worth you looking into?
Looks a bit like “Netdata”. Same deal with collection ungodly amount of data and some neat graphs etc. (Link below is a demo page)
