Possibly a bit overkill, but I’m running Zabbix in 3 containers (Core, WebUI, database). Using its agent installed on all my machines, I can monitor basically anything. Of course, you can set limits, alerts, draw graphs, etc.
Possibly a bit overkill, but I’m running Zabbix in 3 containers (Core, WebUI, database). Using its agent installed on all my machines, I can monitor basically anything. Of course, you can set limits, alerts, draw graphs, etc.
You never know when this public instance is going away and don’t have a say in additional custom search engines.
I run this on a Raspberry Pi at home. My ISP bumps me to a different IP address every few days. So no worries there for me.
The thing with SearXNG is that it will search in multiple search engines in parallel and then aggregate the results. If the same result appears in all of the queries, it’ll be weighted more than one that appears in only one of the results.
This way you get very neutral overall results compared to the biased ones Google usually delivers.
Also, you can easily define custom search engines, so you could make it search on your favourite website as well.
Problem is: For these companies, the numbers of customer growth are far more important to their shareholders than anything else. So they won’t kick misbehaving customers and have no interest in identifying them in the first place.
The last time I’ve used glances - to be fair, some years ago - it caused the main CPU usage on my Raspberry Pi 3. However, looks like it’s been fixed recently.