zlacker

>>bo0tzz+(OP)
I often see the "engineers copy FAANG infrastructure because they want to be cool, even though their needs are completely different" take as a kind of attack on engineers.

But I think a lot of it is also about knowledge and documentation. If I want to copy FAANG or another startup, and set up an infinitely scalable queue-based architecture, I can find dozens of high quality guides, tutorials, white papers etc, showing me exactly how to do it. Yes maintenance is higher, but I can get set up with redis, SQS, any of the 'scalable' solutions within a few hours of copy-pasting commands and code and configuration from a reputable source.

If I want to use NOTIFY in postgres? I googled "SQLALchemy notify listen postgres" and I find a few unanswered stackoverflow questions and a github gist that has some code but no context.

I would honestly love to use this approach for a side project, but I don't have 2-3 days to figure it out on my own. The direct choice for me might seem to be

* simple, but not scalable (ie just use postgres)

* complex, but scalable (ie redis, sqs, whatever)

and then it's a tradeoff, and the argument goes that I am blinded by cool tech and FAANG and I'm choosing complex but scalable, even though I don't need scalable.

But taking into account guides and other resources, the choice for me is actually

* complex and not scalable (this, because I don't know how to implement it and I can't predict what pitfalls I might face if I try)

* simple and scalable (what everyone actually does)

and that makes the engineer's choice to follow faang look a lot more reasonable.

>>ritzac+L21
Another point is: you don't need scalable now, but may (or even hope) to need it later, and you know that when you will need it you probably won't have time to invest into migrating this component.

Also: you may think that you may one day want to be hired by a FAANG.

>>natmak+G41
Hard disagree. Some things are difficult to change later on, others not so much, and you can't do everything for v1. The product has to launch at some point. Your choice of queue is one of the things you'll be able to change. Don't complicate things unless you've run the numbers and know you'll need to. A lot of very large companies do just fine with using relational databases as queues.