Python Apps that Scale to Billions of Users - Talk Python to Me Ep.312

How do you build Python applications that can handling literally billions of requests. I has certainly been done to great success with places like YouTube (handling 1M requests / sec) and Instagram as well as internal pricing APIs at places like PayPal and other banks.

While Python can be fast at some operations and slow at others, it's generally not so much about language raw performance as it is about building an architecture for this scale. That's why it's great to have Julian Danjou on the show today. We'll dive into his book "The Hacker's Guide to Scaling Python" as well as some of his performance work he's doing over at Datadog.

▬▬▬▬ About the podcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬

▬▬▬▬ Dive deeper ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

[AAfzal]

These podcasts are so informative, Keep it up Sir!❤️🤝

[slowercuber]

14 minutes in, I’m giving up for now. Trying to understand the guest on my iPhone speaker is exhausting and frustrating It sounds like his mic gain is a little too high, which is a shame because he’s got a great accent. I’ll try again later with other devices, because this may be an extremely valuable podcast and I thank you both for providing it. I am optimistic that it’ll work better on some bigger speakers or earbuds headset, so I’m slapping on a like in anticipation