Let's see here, we have:
🤡 Creepy Cackle Guy: watches videos all day and cackles like a hyena, plus constantly farts, and complains a lot. He gets everyone gassed up, no pun intended.

😤Bitchy PM: argues with you about every little thing, lies to pad her metrics while screwing the dev's metrics over. Also lies about what clients say to force launch or what she feels client should do. Rude to clients & co-workers. Runs and tattles to higher ups when people call her out on her shit. Nobody can stand her, she get's the entire office upset.

🙉Darth Vader: I don't think this one needs explaining. He breathes SO freaking loud you can hear it across the room. He also won't talk to anybody. Ever.

🤐The Non-Stop Flapper: nice person, but chats you non stop about their mundane life events, even when your status is set to busy or they know you're swamped. Asks irrelevant questions all day, every day. Heart of gold but needs to reel in the chatting.

🤬 Mr.Rage: whines about EVERYTHING. I mean everything. Has also thrown his food on me once over a joke about pizza. Wants to move up to programming but cant program.
---
So between them all, I scream on the inside daily. 🙊😫😢

Not only do I write software, but now I help the managers view and understand our analytics, just like in kindergarten.

Now I'm forced to help them essentially fake data so investors are satisfied 🤡🔫

"Delete metrics X, Y, and Z for now, we don't want anyone to see them!"

"Change the label of this metric to 'unique user' views! (not total!)"

"Set all charts to cumulative so it looks like they are all up and to the right!"

Sigh.

This isn't what I signed up for.

Problems with redis... timeout everywhere...

30k READs per minute.

Me : Ok, How much ram are we actually using in redis ?

Metrics : Average : 30 MB

Me ; 30 MB, sure ? not 30 GB ?

Metrics : Nop, 30 MB

Me : fuck you redis then, hey memory cache, are you there ?

Memory cache : Yep, but only for one instance.

Me ok. So from now on you Memory cache is used, and you redis, you just publish messages when key should be delete. Works for you two ?

Memeory cache and redis : Yep, but nothing out of box exists

Me : Fine... I'll code it my selkf witj blackjack and hookers.

Redis : Why do I exist ?

This whole corporate numbers game is killing me. I know I'm getting paid to do what I'm asked, I know. But the metrics are so one dimensional

You fixed the data of 20 tests? Doesn't count because you didn't code
You implemented a function to reduce recurrent failures in the future? Doesn't count because those already pass with time consuming workarounds
You spent half a day communicating and coordinating across teams to fix an issue? That's 1 test, this other person changed 1 line in 5 files, you're 4 tests behind

When I was in college OOP was emerging. A lot of the professors were against teaching it as the core. Some younger professors were adamant about it, and also Java fanatics. So after the bell rang, they'd sometimes teach people that wanted to learn it. I stayed after and the professor said that object oriented programming treated things like reality.

My first thought to this was hold up, modeling reality is hard and complicated, why would you want to add that to your programming that's utter madness.

Then he started with a ball example and how some balls in reality are blue, and they can have a bounce action we can express with a method.

My first thought was that this seems a very niche example. It has very little to do with any problems I have yet solved and I felt thinking about it this way would complicate my programs rather than make them simpler.

I looked around the at remnants of my classmates and saw several sitting forward, their eyes lit up and I felt like I was in a cult meeting where the head is trying to make everyone enamored of their personality. Except he wasn't selling himself, he was selling an idea.

I patiently waited it out, wanting there to be something of value in the after the bell lesson. Something I could use to better my own programming ability. It never came.

This same professor would tell us all to read and buy gang of four it would change our lives. It was an expensive hard cover book with a ribbon attached for a bookmark. It was made to look important. I didn't have much money in college but I gave it a shot I bought the book. I remember wrinkling my nose often, reading at it. Feeling like I was still being sold something. But where was the proof. It was all an argument from authority and I didn't think the argument was very good.

I left college thinking the whole thing was silly and would surely go away with time. And then it grew, and grew. It started to be impossible to avoid it. So I'd just use it when I had to and that became more and more often.

I began to doubt myself. Perhaps I was wrong, surely all these people using and loving this paradigm could not be wrong. I took on a 3 year project to dive deep into OOP later in my career. I was already intimately aware of OOP having to have done so much of it. But I caught up on all the latest ideas and practiced them for a the first year. I thought if OOP is so good I should be able to be more productive in years 2 and 3.

It was the most miserable I had ever been as a programmer. Everything took forever to do. There was boilerplate code everywhere. You didn't so much solve problems as stuff abstract ideas that had nothing to do with the problem everywhere and THEN code the actual part of the code that does a task. Even though I was working with an interpreted language they had added a need to compile, for dependency injection. What's next taking the benefit of dynamic typing and forcing typing into it? Oh I see they managed to do that too. At this point why not just use C or C++. It's going to do everything you wanted if you add compiling and typing and do it way faster at run time.

I talked to the client extensively about everything. We both agreed the project was untenable. We moved everything over another 3 years. His business is doing better than ever before now by several metrics. And I can be productive again. My self doubt was over. OOP is a complicated mess that drags down the software industry, little better than snake oil and full of empty promises. Unfortunately it is all some people know.

Now there is a functional movement, a data oriented movement, and things are looking a little brighter. However, no one seems to care for procedural. Functional and procedural are not that different. Functional just tries to put more constraints on the developer. Data oriented is also a lot more sensible, and again pretty close to procedural a lot of the time. It's just odd to me this need to separate from procedural at all. Procedural was very honest. If you're a bad programmer you make bad code. If you're a good programmer you make good code. It seems a lot of this was meant to enforce bad programmers to make good code. I'll tell you what I think though. I think that has never worked. It's just hidden it away in some abstraction and made identifying it harder. Much like the code methodologies themselves do to the code.

Now I'm left with a choice, keep my own business going to work on what I love, shift gears and do what I hate for more money, or pivot careers entirely. I decided after all this to go into data science because what you all are doing to the software industry sickens me. And that's my story. It's one that makes a lot of people defensive or even passive aggressive, to those people I say, try more things. At least then you can be less defensive about your opinion.

TDD has not been proven in studies to provide substantial reduction in cyclomatic complexity or other metrics of software development.

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.

Thoughts on forced emergency support?

I am with a company I generally like a lot but there are some things I generally despise about it. Like forced emergency support.

I am not good at it, I don't claim to be.. I generally struggle with anxiety, stress and depression, I specifically avoid roles that require on-call service .. I'm a senior level software engineer.

I find it very frustrating to be expected to be on-call from 7-7 in support of infrastructure I did not architect, did not code and basically know nothing about. They provided me with a ten minute discussion about ops genie and where to find internal support articles for my training and that's about it.

Last night I received an ops genie alarm and acked it as I was instructed to do, I went around the system looking for the alarm cause and basically had no idea what to do except watch our metrics graphing praying there wouldn't be an outage. Fortunately the alarm was for our load balancer scaling operation, it was taking a bit longer than usual ... Sigh of relief. Stay up til 6am and fall asleep..

Wake up to a few messages from various people asking why I didn't do this and that and it took me every inkling of my being to remain cordial and polite but I really just wanted to scream and say a bunch of shit that would probably get me fired.

What the actual fuck?

Why expect someone that has no god damn clue what they are doing to do something like this? Fuckin shit training and no leadership to mentor me and help me get better at this role, no shadowing, no regiment ..

#confused and #annoyed

Thoughts? Am I a bitch? Is it unreasonable for me to expect my job duties stay in line with what I'm actually good at!?

Thanks.

It's obvious that a lot of product managers need to take basic stats classes. Your metrics are pointless and lack direction. 🖕

Man I am tired of my company's dogshit software release process.

We have to commit to fucking estimates for 6 months (2 quarters), SQA shadowing dev by 2 weeks, and freaking estimates and work done at the end are not even close. And then we call it a minor release. These shitty estimates are based on requirements that basically say "we want feature x, plz make it work". It's some fucked up agilefall garbage that does not work for shit.

We rush like motherfuckers during the final weeks because estimates are bullshit but we are still expected to be done with every story points which somehow are days instead of other better metrics.

I swear this fucking bullshit has been designed by the board so they could plan their money entries based on the software release.

The only reason this company actually still holds itself up is because the engineers are good at their job.

Go fuck yourself high management.

I fucking hate foglight!
Fucking piece of over bloated shit software that can't do anything right!
This pile of harkonnen vomit is such a source of stress and frustration.
Can you believe that a monitoring tool, that needs to monitor 550 agents (host,dB's, webservices,whatever) needs a whopping 20+GB ram and 4vcpu's just to receive metrics and sent it to the main server, for just being a middleman???

Fucking piece of shit.

And worse of it all, due to some fuckery at mgmt-customer relationship level, they want to I stall MORE of this shit

Fucking shit

Quest software, never engage with them. You'll lose equal amounts of money as for dynatrace but be very bad off

Recruiters often tell you to use numbers to highlight your successes. For example, "I did Programming Task ABC and increased sales of widgets by 1,000%". I'm curious how many of us actually have had access to and/or kept track of those kinds of success metrics in our prior jobs. I find myself guessing and even just making up numbers that nobody's going to have even the slightest possibility of verifying.

Any advice on how to deal with gatekeeping developers? How to deal with red tape?

I work with people that are resistant to code and process change. Continuous pedantic pushback on nearly anything; one raised a fuss over metrics not being satisfactory at a 5% threshold for alerting stating that 4.99% metrics variance wouldn't trigger an alert.

It's genuinely as though my coworkers are all scared of code based on the way they behave. They don't seem to code very often either.

I'm someone that codes quickly but I have to constantly write proposals for quite literally any change to the codebase. Even IF there were issues we could always rollback (and even then we have metrics, alerts, canary rollouts, feature flags, etc etc). As a quick aside, my pace isn't related to the pushback nor experience/skill level. Just affects my morale and mental heth to be blocked.

I can communicate effectively and I try to be as clear as possible in my proposals but this is absolutely driving me up the wall and killing my motivation.

This is a faang-level company and I would've expected better.

Any advice on how to best navigate this? Is this the norm???

Say I wanted to characterize motion in a video and derive a frequency of that motion, and the extents of the motion?

For instance: walking, jumping, running, punching, dancing, etc. The view might vary and be further away or closer to where it is harder to make out features.

I am assuming I would use some sort of AI to identify objects and perhaps bone structure. Then compare against a model to determine motion type, and then attributes. I have seen cameras get bone structure, but I think it required 2 views. Such as the cheap motion capture systems.

Could this be done in real time of video playing? Or would this need to preprocess and use the info created during playback of the media?

I really don't know much about AI models. I have been curious about how it can be used with video.