Monitor performance issues & errors in your code

Python Apps that Scale to Billions of Users

Episode #312, published Sun, Apr 18, 2021, recorded Thu, Apr 8, 2021

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.

Watch this episode on YouTube
Play on YouTube
Watch the live stream version

Links from the show

Julian on Twitter: @juldanjou
Scaling Python Book:

DD Trace production profiling code:
Futurist package:
Tenacity package:
Cotyledon package: Load Testing:
daiquiri package:

YouTube Live Stream Video:
Episode transcripts:

--- Stay in touch with us ---
Subscribe to us on YouTube:
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy

Want to go deeper? Check out our courses

Talk Python's Mastodon Michael Kennedy's Mastodon