There Are No Mysteries
I believe (and argue) that there are no mysteries in computing. If "something strange" is happening - especially to a system you've built - it is always possible to identify the problem. To put it another way, claiming that a problem is mysterious is simply an admission of personal failure to be curious enough. (I distinguish that from "not having enough resources" because when people say something is mysterious, they don't mean that they're chosing not to look, they mean that looking is pointless - and, of course, they're wrong :-)
I got my start in computing with a book on 8085 Hex Machine Code, in an era when Radio Shack still carried chips and people still built things with them. When the TRS-80 came out, it was made of chips like that, and you could get easily comprehensible schematics. I learned to solder and use a voltmeter and an oscilliscope before I learned to code.
My first "real" job began with porting a device driver for a 24M hard drive from 8085 to Z80, on an upgraded IMSAI. Serial terminals, Diablo daisy wheel printing terminal, the front panel later made popular in War Games. We wired a lot of our own cables. One particular memory is of having wired a serial cable through the wall to the Diablo in the other room, trying to print from WordStar, and having the whole system hang.
Today, the response would probably be to pound on the keyboard a bit and reboot something. Then, it was more arcane, but vastly more effective:
That was just a local patch - I suspect we fixed the cable after that. Note that this wasn't experienced old hands - this was two high school kids in a summer job - but we knew what was going on at a very low level, and thought this was entirely reasonable. (Note that we weren't only bit-banging hackers; we also wrote dBase apps, sold software and did telecom planning...)
One lesson you could take from this is "wow, glad that's someone else's problem this century." It is obviously useful to be able to sweep all of that under the rug of Abstraction - right up to the point where it fails to work... I think a more powerful lesson is that all of the interesting debugging is down a layer from where you're actually trying to work - abstractions are great when things work, and have to be the first thing out the window when they don't (this is also a reason that proprietary layers hurt, always.)
Another lesson is that we can find out what's going on, even in the face of obvious complexity. There are more abstractions (more layers and more breadth), but they can still be pried open. Thus, There Are No Mysteries.
(There are certainly cases where you've lost/discarded too much information to find out what happenned. And this is limited in scope to computing, though I personally believe it's much more broadly applicable - as an approach, a philosophy, a mental model - "mystery means you haven't bothered to look hard enough". I think it's worthwhile to take that attitude.)