[ic_fly2]

It’s a good article on speed.

But honestly the thing that makes any of my programs slow is network calls. And there a nice async setup goes a long way. And then k8 for the scaling.

[nicolaslem]

This. I maintain an ecommerce platform written in Python. Even with Python being slow, less than 30% of our request time is spent executing code, the rest is talking to stuff over the network.

[gen220]

I think articles like this cast too wide a net when they say "performance" or "<language> is fast/slow".

A bunch of SREs discussing which languages/servers/runtimes are fast/slow/efficient in comparable production setups would give more practical guidance.

If you're building an http daemon in a traditional three-tiered app (like a large % of people on HN), IME, Python has quietly become a great language in that space, compared to its peers, over the last 8 years.

[stackskipton]

SRE here, that horizontal scaling with Python has impacts as it’s more connections to database and so forth so you are impacting things even if you don’t see it.

[ic_fly2]

Meh, even with basic async I’ve been able to overload azure’s premium ampq offering memory capacity.

But yes managing db connections is a pain. But I don’t think it’s any better in Java (my only other reference at this scale)

[wussboy]

That’s why we use Firestore