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Talk Python To Me

#352: Running Python in Production

Talk Python To Me

Michael Kennedy

Technology

4.8635 Ratings

🗓️ 8 February 2022

⏱️ 60 minutes

🧾️ Download transcript

Summary

Do we talk about running Python in production enough? I can tell you that the Talk Python infrastructure (courses, podcasts, APIs, etc.) get a fair amount of traffic, but they look nothing like what Google, or Instagram, or insert [BIG TECH NAME] here's deployments do. Yet, mostly, we hear about interesting feats of engineering at massive scale that is impressive but often is also outside of the world most Python devs need for their companies and services.

Transcript

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0:00.0

Do we talk about running Python in production enough?

0:03.0

I can tell you the Talk Python infrastructure, courses, podcasts, APIs, and so on,

0:07.5

get a fair amount of traffic, but they look nothing like what Google or Instagram

0:11.2

or insert big tech name here's deployments look like.

0:15.7

Yet, mostly, we hear about interesting feats of engineering at massive scale

0:20.0

that, while impressive, often is

0:22.6

outside the world of most Python devs. On this episode, we have three great guests who do think

0:28.4

we should talk more about small to medium-sized Python deployments, Emily Morehouse, Panic, and

0:33.5

Glyph. I think you'll enjoy the conversation. They each bring their own interesting perspectives.

0:38.7

This is Talk Python to Me, episode 352, recorded January 12, 2022.

1:01.3

Music Welcome to Talk Python, Me, a weekly podcast on Python.

1:03.1

This is your host, Michael Kennedy.

1:09.3

Follow me on Twitter where I'm at M. Kennedy and keep up with a show and listen to past episodes at TalkPython.fm.

1:12.4

And follow the show on Twitter via at TalkPython.

1:16.0

We've started streaming most of our episodes live on YouTube.

1:23.5

Subscribe to our YouTube channel over at TalkPython.fm slash YouTube to get notified about upcoming shows and be part of that episode.

1:29.2

This episode is brought to you by Signalwire and tonic.aI. Please check out what they're offering during their segments. It really helps support the show. Emily Henick-Giliff, welcome to Talk

1:35.1

Python to me. It's so good to have you here on the show. And I'm super excited about talking about

1:40.9

running Python in production. And I'm glad that it's more than just one of you,

1:45.9

because I think everyone has their own perspective and their own context and whatnot.

1:51.4

You know, do you work for a small company or a large company or do you have many people

1:55.5

on their team or just a couple? Right. And I think that really influences what you might

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