I didn't know Python3 offers better performance to be honest, but Sqlite is a real ordeal for this t2.micro now ;)

(Switched to PostgreSQL in a hot-change fashion!)

SQLite can handle a lot more than people think. The SQLite website uses it for production (https://www.sqlite.org/whentouse.html)

It can handle a lot of reads, but you'll have problems with multiple concurrent writes (at least with Python). I run read-heavy production websites on SQLite just fine, though.

How much do you pay for your t2.micro?

It's $9.50/month. Quite a lot of money for 1GB RAM, 1 vCPU.

https://aws.amazon.com/ec2/instance-types/t2/

It doesn't make sense if you are not orchestrating them heavily, really.

Even if you do, if you need lots of power, just get a cheap powerful VPS or even dedicated.

AWS advantage is infinite redundancy, you can fully automate failing servers. But it looks like you have to pay around 10X for that.

I think we are saying the same thing :)

how did you come to know which stack, the app is using..

wappalyzer is also good[1].

1. https://chrome.google.com/webstore/detail/wappalyzer/gppongm...

I had the Debug mode on, which gives MANY information about the stack and all that :)

this makes sense...but still he knows which database you are using. I dont think debug errors give that information. Or does it???

With Django debug toolbar or even flask debug toolbar, you can have this can of information.

It does