What’s the best way to monitor and log which processes are responsible for high system load throughout the day? Tools like top and htop only provide immediate values, but I’m looking for a solution that offers historical data to identify the main culprits over time.
Clicked the link, started reading … closed the window when I read “Netdata also incorporates A.I. insights for all monitored data”.
Eesh. Yeah, that’s a nope from me, dawg.Actually, it’s all self-hosted. Granted, I haven’t looked at the code in detail, but building NNs to help efficiency detect and capture stuff is actually a very appropriate use of ML. This project looks kinda cool.
this limited scope ML trained analysis is actually where “AI” excels, e.g. “computer vision” in specific medical scenarios
If the training data is available, yes, in this case, no chance.
you don’t think they could get training data from friendly customers using their service?