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My new clothes washer has an app.
Neat!
The app requires location information or it won't start...
Fuck LG.
19 -
Washing the dishes.
Somehow it helps me think more clearly. This is why I'll never buy a dish washer.2 -
There is absolutely no reason, what so ever, that you should ever own a fucking Wi-Fi enabled washer and dryer!
Like if you really need to check that your kids haven't done the chores while you're at the grocery store, from your phone, you have some bigger issues. You're basically giving LG the ability to make money off your laundry habits for years and years after your purchase.
10 -
Want to make someone's life a misery? Here's how.
Don't base your tech stack on any prior knowledge or what's relevant to the problem.
Instead design it around all the latest trends and badges you want to put on your resume because they're frequent key words on job postings.
Once your data goes in, you'll never get it out again. At best you'll be teased with little crumbs of data but never the whole.
I know, here's a genius idea, instead of putting data into a normal data base then using a cache, lets put it all into the cache and by the way it's a volatile cache.
Here's an idea. For something as simple as a single log lets make it use a queue that goes into a queue that goes into another queue that goes into another queue all of which are black boxes. No rhyme of reason, queues are all the rage.
Have you tried: Lets use a new fangled tangle, trust me it's safe, INSERT BIG NAME HERE uses it.
Finally it all gets flushed down into this subterranean cunt of a sewerage system and good luck getting it all out again. It's like hell except it's all shitty instead of all fiery.
All I want is to export one table, a simple log table with a few GB to CSV or heck whatever generic format it supports, that's it.
So I run the export table to file command and off it goes only less than a minute later for timeout commands to start piling up until it aborts. WTF. So then I set the most obvious timeout setting in the client, no change, then another timeout setting on the client, no change, then i try to put it in the client configuration file, no change, then I set the timeout on the export query, no change, then finally I bump the timeouts in the server config, no change, then I find someone has downloaded it from both tucows and apt, but they're using the tucows version so its real config is in /dev/database.xml (don't even ask). I increase that from seconds to a minute, it's still timing out after a minute.
In the end I have to make my own and this involves working out how to parse non-standard binary formatted data structures. It's the umpteenth time I have had to do this.
These aren't some no name solutions and it really terrifies me. All this is doing is taking some access logs, store them in one place then index by timestamp. These things are all meant to be blazing fast but grep is often faster. How the hell is such a trivial thing turned into a series of one nightmare after another? Things that should take a few minutes take days of screwing around. I don't have access logs any more because I can't access them anymore.
The terror of this isn't that it's so awful, it's that all the little kiddies doing all this jazz for the first time and using all these shit wipe buzzword driven approaches have no fucking clue it's not meant to be this difficult. I'm replacing entire tens of thousands to million line enterprise systems with a few hundred lines of code that's faster, more reliable and better in virtually every measurable way time and time again.
This is constant. It's not one offender, it's not one project, it's not one company, it's not one developer, it's the industry standard. It's all over open source software and all over dev shops. Everything is exponentially becoming more bloated and difficult than it needs to be. I'm seeing people pull up a hundred cloud instances for things that'll be happy at home with a few minutes to a week's optimisation efforts. Queries that are N*N and only take a few minutes to turn to LOG(N) but instead people renting out a fucking off huge ass SQL cluster instead that not only costs gobs of money but takes a ton of time maintaining and configuring which isn't going to be done right either.
I think most people are bullshitting when they say they have impostor syndrome but when the trend in technology is to make every fucking little trivial thing a thousand times more complex than it has to be I can see how they'd feel that way. There's so bloody much you need to do that you don't need to do these days that you either can't get anything done right or the smallest thing takes an age.
I have no idea why some people put up with some of these appliances. If you bought a dish washer that made washing dishes even harder than it was before you'd return it to the store.
Every time I see the terms enterprise, fast, big data, scalable, cloud or anything of the like I bang my head on the table. One of these days I'm going to lose my fucking tits.10 -
Finally had a weekend to myself to work on some projects. I got my hands on a Sonoff switch. Did a manual flash of some new firmware and got it setup on my crappy old washer to do a little DIY smart home upgrade.
Always nice to get to do a personal project 😊 Just wish I had time to tinker more.
3 -
I recently tried to apply the same data analytics rationale that I use at work to my personal life. This is not a rant, it is more like an data storytelling of an actual use case I would like some input on.
I set a goal - gotta thin up a bit and calm down my ticker - and got a (almost unreasonably expensive) field expert consultant to yell at me about it for a couple hours.
I unravel the metrics - there is like a million weight-related KPIs and most say nothing at all. I have never seen an non-infrastructure measurable subject that could not be resumed to 2-5 performance metrics. I got overall weight, how well my nine-years-old business suit fits me, heart rate, and day-after relative muscle pain (it will make sense soon).
Then its data-pipeline time. I bought a cheap weight scale and smartwatch, and every morning I input the data in an app. Yes, I try to put on the suit every morning. It still does not fit.
After establishing a baseline, I tried to fit different approaches. Doing equipment-free exercises, going to the gym, dieting. None was actually feasible in the long run, but trying different approaches does highlight the impacts and the handling profile of each method.
Looking at the now-gathered data, one thing was obvious - can't do dieting because it is not doable to have a shopping list and meals for me and another for the family.
Gym is also off the table - too much overhead. I spend more time on the trip there and back than actually there.
And home exercise equipment is either super crappy or very expensive. But it is also the most reasonable approach.
So it is solutions time. I got a nice exercise bycicle (not a peloton), an yoga mat (the wife already had that one) and an exercise program that uses only those two resources. Not as efficient without dieting, not as measurable and broad as the gym, but it fits my workflow. Deploy to production!
A few months pass and the dataset grows. The signal is subtle but has support - it works! The handling, however, needs improvement, since I cannot often enough get with the exercise program. Some mornings are just after some hard days.
I start thinking about what else I can improve in the program, but it is already pretty lean and full of compromises.
So I pull an engineer and start thinking about the support systems and draft profile. What else could be draining my willpower and morning time?
Chores. Getting the kids ready for school, firing up the moka pot, setting the off-brand roomba, folding the overnight-dried clothes, cooking breakfast, doing the dishes, cleaning the toilets. All part of my morning routine. It might benefit from some automation.
Last month I got that machine our elders call "wasteful" and "useless crap lazy entitled Americans invented because they feel oh-so-insulted for simply doing something by hand like everyone always did" - a "dish-washer".
Heh, I remember how hard was to convince my mother-in-law that an remote-controled electric garage door would not make she look like an spoiled brat.
Still to early to call, but I think that the dishwasher just saved me about 25 mins every morning. It might be enough to save willpower for me to do more exercise.
This is all so reflective of all data analytics cases really are out in the wild - the analytics phase seems so small compared to the gathering and practical problem-solving all around. And yet d.a. is what tells you that you are doing the wrong thing all along. Or on what you should work next.7 -
I have been in front of this bloody screen for 13 hours now. I'm also ill. And my washing machine broke today and couldn't be fixed. My brain right now:
1 -
So I just thought that we now have all the technologies to create a drone that picks my used coffee glass from my table, puts it in the dish washer and brings me a new one, but we just need someone lazy enough to master these technologies and put it in production 🙄1
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So the thick shit that features in a previous rant of mine (https://devrant.io/rants/782171/...) just decided to pull all my wet clothes out the washer and leave them on the floor all night. Next time he goes out I'm sticking a hose through his window, fucking moron now I have no clothes for work tomorrow... Bastard
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