[thrownaway561]

Personally I'm loving AI for TECHNICAL problems. Case in point... I just had a server crash last night and obviously I need to do a summary on what could have possibly caused the issue. This use to take hours and painfully hours at that. If you ever had to scroll through a Windows event log you know what I'm talking about. But today I just got an idea of just exporting the log and uploading it to Gemini and asking it:

Looking at this Windows event log, the server rebooted unexpected this morning at 4:21am EST, please analyze the log and let me know what could have been the cause of the reboot.

It took Gemini 5 minutes to come back with an analyst and not only that, it asked me for the memory dump that the machine took. I uploaded that as well and it told me that it looks like SentinelOne might have caused the problem and to update the client if possible.

Checking the logs myself, that's exactly what it looks like.

That used to take me HOURS to do and now it took me 30 seconds, took Gemini 10 minutes, but me 30 seconds. That is a game changer if you ask me.

I love my job, but I love doing other things rather than combing over a log trying to figure out why a server rebooted. I just want to know what to do to fix it if it can be fixed.

I get that AI might be giving other people a sour taste, but to me it really has made my job, and the medial tasks that come with it. easier.

[sgarland]

I have little to no experience with Windows Server, but at least on Linux, this shouldn’t take hours.

Find the last log entries for the system before the reboot; if they point to a specific application, look at its logs, otherwise just check all of them around that time, filtering by log level. Check metrics as well - did the application[s] stop handling requests prior to the restart (keeping in mind that metrics are aggregations), or was it fine up until it wasn’t?

If there are no smoking guns, a hardware issue is possible, in which case any decent server should have logged that.

> I just want to know what to do to fix it if it can be fixed.

Serious question: how do you plan on training juniors if troubleshooting consists of asking an AI what to do?