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A tartalmat a Real Python biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Real Python vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Michael Kennedy: Managing Your Own Python Infrastructure

1:20:25
 
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Manage episode 516946000 series 2637014
A tartalmat a Real Python biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Real Python vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

How do you deploy your Python application without getting locked into an expensive cloud-based service? This week on the show, Michael Kennedy from the Talk Python podcast returns to discuss his new book, “Talk Python in Production.”

Michael runs multiple Python applications online, including a training site, blog, and two podcasts. While searching for the best solution for hosting his business, he documented his findings in a book. We talk about containerizing Python applications, generating static sites, preparing for traffic spikes, and avoiding cloud service lock-in.

Course Spotlight: Speed Up Python With Concurrency

Learn what concurrency means in Python and why you might want to use it. You’ll see a simple, non-concurrent approach and then look into why you’d want threading, asyncio, or multiprocessing.

Topics:

  • 00:00:00 – Introduction
  • 00:01:28 – Welcome back!
  • 00:03:05 – Is this your first book?
  • 00:04:13 – A book that reads like a blog
  • 00:06:15 – Incentives to keep you locked in
  • 00:09:20 – Following the journey of the Talk Python sites
  • 00:11:47 – Audio reader briefs
  • 00:15:19 – Discussing Dev Ops as a topic
  • 00:18:31 – Background of developing for the web
  • 00:20:14 – Stack-Native vs Cloud-Native
  • 00:24:40 – Using Quart web framework
  • 00:25:50 – Embracing Docker
  • 00:32:39 – Sharing a single powerful machine allows for individual peaks
  • 00:37:04 – Video Course Spotlight
  • 00:38:30 – Minimal cloud lock-in
  • 00:40:04 – Using OrbStack for local builds and testing
  • 00:42:07 – Coolify as a Docker host
  • 00:47:14 – Moving away from Google analytics and a GDPR rant
  • 00:50:43 – Diving deep into web tech of ngnix, SSL, and CDNs
  • 00:54:33 – Talking about the prices for hosting
  • 00:59:09 – Creating static sites
  • 01:06:22 – Invitation to come back to discuss AI and agents
  • 01:10:06 – What are you excited about in the world of Python?
  • 01:16:19 – What do you want to learn next?
  • 01:17:34 – What’s the best way to follow your work online?
  • 01:19:40 – Thanks and goodbye

Links:

Michael’s Recommended Hosting Locations:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

273 epizódok

Artwork
iconMegosztás
 
Manage episode 516946000 series 2637014
A tartalmat a Real Python biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Real Python vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

How do you deploy your Python application without getting locked into an expensive cloud-based service? This week on the show, Michael Kennedy from the Talk Python podcast returns to discuss his new book, “Talk Python in Production.”

Michael runs multiple Python applications online, including a training site, blog, and two podcasts. While searching for the best solution for hosting his business, he documented his findings in a book. We talk about containerizing Python applications, generating static sites, preparing for traffic spikes, and avoiding cloud service lock-in.

Course Spotlight: Speed Up Python With Concurrency

Learn what concurrency means in Python and why you might want to use it. You’ll see a simple, non-concurrent approach and then look into why you’d want threading, asyncio, or multiprocessing.

Topics:

  • 00:00:00 – Introduction
  • 00:01:28 – Welcome back!
  • 00:03:05 – Is this your first book?
  • 00:04:13 – A book that reads like a blog
  • 00:06:15 – Incentives to keep you locked in
  • 00:09:20 – Following the journey of the Talk Python sites
  • 00:11:47 – Audio reader briefs
  • 00:15:19 – Discussing Dev Ops as a topic
  • 00:18:31 – Background of developing for the web
  • 00:20:14 – Stack-Native vs Cloud-Native
  • 00:24:40 – Using Quart web framework
  • 00:25:50 – Embracing Docker
  • 00:32:39 – Sharing a single powerful machine allows for individual peaks
  • 00:37:04 – Video Course Spotlight
  • 00:38:30 – Minimal cloud lock-in
  • 00:40:04 – Using OrbStack for local builds and testing
  • 00:42:07 – Coolify as a Docker host
  • 00:47:14 – Moving away from Google analytics and a GDPR rant
  • 00:50:43 – Diving deep into web tech of ngnix, SSL, and CDNs
  • 00:54:33 – Talking about the prices for hosting
  • 00:59:09 – Creating static sites
  • 01:06:22 – Invitation to come back to discuss AI and agents
  • 01:10:06 – What are you excited about in the world of Python?
  • 01:16:19 – What do you want to learn next?
  • 01:17:34 – What’s the best way to follow your work online?
  • 01:19:40 – Thanks and goodbye

Links:

Michael’s Recommended Hosting Locations:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

273 epizódok

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