Job: cashier
Item doesn’t scan
Customer: “That means it’s free, right?”
🙄🙄🙄🙄🙄
Only about 4 weeks in as a cashier and I’ve heard this enough to last me a lifetime.
Job: cashier
Item doesn’t scan
Customer: “That means it’s free, right?”
🙄🙄🙄🙄🙄
Only about 4 weeks in as a cashier and I’ve heard this enough to last me a lifetime.
Maybe a niche issue, but “that doesn’t scale!” In the context of software development.
We’re writing software for usually very well defined user groups, but so many of the architects and seniors want to build a second Netflix, which costs 4 times as much as the simple solution and in the end usually isn’t even better, because those morons have no idea how to do that.
Currently, I’m in a project where I fought tooth and nail to avoid having a micro service architecture for a batch job that inserts less than a million entries per day.
Good old Resume-Driven-Development
I wouldn’t even call it that. It’s a weird lack of a sense of scale combined with organizational hurdles.
They basically can’t estimate, how much resources a proper app would need and they don’t know how to manage teams to work on a common codebase. So they simply draw a diagram of the functionalities, spin out each block as a “Service”, assign that to a team and call it a day.
I’ve talked to several of them about this and I had to do very simple math directly in front of them to convince them. I’ve had to explain to a grown man, an experienced engineer, that 16 cores and 96gb memory are more than enough to handle a million simple inserts per day in a batch mode. He wanted to split the job into 4 services, each essentially running 10 lines of actual business logic, each using the resources mentioned above. Absolute madness.