tylerfontaine
Software jobs, especially at the kinds of FAANG companies largely being discussed here, are quite a stretch for the term "wageslave."
Entrepreneurship isn't for everyone, even those who've tried it before.
Definitely a lot of heavy construction.
Anecdotal, of course, but there's some real things being built for sure.
While the deposit is refundable, the start fee doesn’t appear to be. So in 1yr, your total outlay is $16,680 for a $48,600 car. That’s essentially a 3 year payoff + 500 for deposits, and you don’t end up with a car after.
It’s not immediately clear what the advantage is here, I guess unless you can’t qualify for a regular car loan. But the equity cost here is very high.
They claim a loan on this car at 4.25% would cost 1900/mo, but it’s more like 1300. And Tesla financing is as low as 2.9%, which is 1277/mo if you put 4500 down. Those go to 1203/mo and 1178/mo respectively if you put down 7900.
I dunno. Nothing about this seems like a particularly good deal or good for it’s users. They don’t get the tax credits, they don’t get the equity, they just get a more economical rental. It doesn’t even look like there’s a purchase option in the end like a regular lease.
Maybe I’m being cynical here, and I will admit I have never quite understood the appeal of leasing anyway, but this concept just totally escapes me, and the numbers don’t make a good deal of sense to me either.
It was true for a lot of us who weren’t in tech at the time. I graduated in December 2008. I was unemployed for a year, eventually finding a job as a bank teller. I applied for literally hundreds of jobs from waiting tables to retail to grant writing to substitute teaching.
I was either “too qualified” because I had a degree or I was “too inexperienced” because a lot of folks who had recently retired were going back to work because they just became upside down on their house.
When you’re freshly graduated and broke, a year is a long time. Worst ever of all time? Nah. But it was pretty traumatizing.
To be fair, I don't have a good answer on why the input box does require the resource group name to be lowercase, but I ran through the steps end-to-end, and as akulkarni said, the names are case agnostic on the Azure side, so you'd just need to input the resource group name lower case to create it successfully.
Sincerely, thank you for the feedback, as this is how we learn and improve. If you give this a shot and run into any trouble, please do let us know, and we'd be happy to help troubleshoot.
NB: I didn't do the math, so this is probably mildly hyperbolic, but I think it illustrates the point.
It took forever to figure out what was causing this, and I eventually figured it out by doing a (very slow) IP scan of every device on the network I was connecting to and finding a machine named with their first and last name. Unplugged the thing, and the problem went away forever.
If it hadn't happened to me, it's something I would have thought impossible!
(edited a small typo)
This has been happening to me, but on Twitter! I know a very basic amount of Spanish, but am a non-hispanic dude in semi-rural Texas.
I don't have any measurements, and I'm not really going to take any. It's just always felt slow. So I'll admit I should've perhaps been less prescriptive.
I've been heavy in the data space, and get to do some fascinating work with folks, helping design data models, implement analysis, and other things in a wide variety of verticals. It's support, so sometimes there's some more tedious things too - there's no avoiding that. :)
But, and perhaps I'm biased, it's still a great career path, even if it's not as flash as "code all the time" work.
In my case the guy was (as best I could conclude) legitimately guilty of one of the lesser included charges, but there was some dodgy testimony, and I was the only one, in my group, to question it, and suggest that it might have some bearing on which of the many charges that might actually make him guilty of. It took quite some convincing to get anyone else to drop to anything lower than the top charge.
While I realize that this sample size of 1 is statistically insignificant, it really seems like if you wind up in court on criminal charges, odds seem to be you're screwed. "Innocent until proven guilty" felt, to me, like a pipedream.
Pretty much any ETL tool you like could do this, as long as it speaks to elasticsearch and postgres.
Logstash (if you're using the ELK stack) can write to CSV or other formats as well as do any processing, but it doesn't have a JDBC output plugin, so you'd have to ingest with something else. Conversely, fluentd for example can output to Postgres, but doesn't have an elasticsearch input (at least that I could find), so you'd have to export from es with something else.
So it might be a couple of steps, though there are rich clients for most major programming languages for both elasticsearch and postgres. If your schema is fairly simple, this might not be too bad to roll your own.
That said, the hardest part is likely massaging your data, if your elasticserch schema is complex. Because you have to totally denormalize things for es (generally), you might have to unravel some of that going back into a relational database.