Simplifying Python Environment Management

In this supper club episode of Syntax, Wes and Scott talk with Armin Ronacher about his contributions to open source, queues and messaging in apps, scaling up a queue, and how it all works at Sentry.

• 00:35 Welcome
• 01:49 Who is Armin Ronacher?
• Armin Ronacher
• mitsuhiko (Armin Ronacher)
• Armin Ronacher (@mitsuhiko)
• Armin Ronacher
• Armin Ronacher
• Apache Kafka
• 04:11 What are queues and what are they used for?
• 08:02 Do you listen or poll for updates in the queue?
• 12:49 Does this help when a provider goes down?
• 18:31 How do you architect a queue?
• 20:20 How does it scale up?
• 27:05 How does Sentry manage all the data flowing in from events?
• Redis Message Broker | Redis Enterprise
• Messaging that just works — RabbitMQ
• Using RabbitMQ — Celery 5.3.1 documentation
• 33:45 How do you visualize the data?
• 37:15 Edge case that Sentry had to fix
• 40:22 How are you using Rust?
• Rust Programming Language
• 43:32 Why is Python so popular in the AI space?
• 45:17 What do you think about JavaScript on the server?
• 48:02 Supper Club questions
• 50:44 How do you stay motivated with programming?

• Bilderbuch
• Bilderbuch on Spotify

• Rye - An Experimental Package Management Solution for Python

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