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Real Python에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Real Python 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Scaling Python Web Applications With Kubernetes and Karpenter

1:04:47
 
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Manage episode 489866755 series 2637014
Real Python에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Real Python 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

What goes into scaling a web application today? What are resources for learning and practicing DevOps skills? This week on the show, Calvin Hendryx-Parker is back to discuss the tools and infrastructure for autoscaling web applications with Kubernetes and Karpenter.

Calvin is the co-founder and CTO of Six Feet Up, a Python and AI consultancy. He shares how they recently helped a client scale a web application that employs video, audio, and chat sessions. We dig deep into the tooling behind modern Kubernetes systems management and performance monitoring.

Calvin shares a project bootstrap tool for streamlining the development and deployment of a web application. The tool includes a complete blueprint for the infrastructure needed to get started.

We also dig into a collection of coding tools Calvin has been experimenting with. We discuss his recent IndyPy presentation, “Battle of the Bots,” which put several AI code assistants through their paces.

This episode is sponsored by AMD.

Course Spotlight: First Steps With LangChain

Large language models (LLMs) have taken the world by storm. In this step-by-step video course, you’ll learn to use the LangChain library to build LLM-assisted applications.

Topics:

  • 00:00:00 – Introduction
  • 00:02:23 – Scaling a Django project using Kubernetes
  • 00:05:35 – Elastic Kubernets Service (EKS)
  • 00:09:10 – Kubernetes terminology and improvements in tooling
  • 00:11:29 – The Control Plane and the API
  • 00:14:06 – Video Course Spotlight
  • 00:15:11 – scaf: providing DevOps engineers a blueprint for new projects
  • 00:17:21 – What have been the benefits of scaf for internal teams?
  • 00:20:18 – How do you identify and reproduce scaling issues?
  • 00:22:44 – Dealing with IP address scaling
  • 00:26:03 – Why use other observability tools beyond AWS internal ones?
  • 00:29:22 – Other lessons learned and moving toward refactoring code
  • 00:33:53 – Scaling a voice-based LLM application
  • 00:35:35 – Sponsor: AMD
  • 00:36:11 – Looking at limitations and bottlenecks
  • 00:38:08 – Configuring a Kubernetes operator to act on itself
  • 00:39:47 – What project components are within a pod of containers?
  • 00:42:31 – Budgeting for scale using Karpenter
  • 00:43:58 – Tools for running containers locally
  • 00:46:01 – Are containers still a primary development tool for you?
  • 00:50:58 – Resources for learning DevOps and Kubernetes
  • 00:52:54 – Conferences and talks
  • 00:53:56 – Battle of the Bots: comparing coding agents
  • 00:55:15 – What are you excited about in the world of Python?
  • 00:56:20 – What do you want to learn next?
  • 01:02:42 – What’s the best way for people to follow your work online?
  • 01:03:33 – Thanks and goodbye

Show Links:

Conferences and Meetups:

AI Coding Tools:

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

Support the podcast & join our community of Pythonistas

  continue reading

256 에피소드

Artwork
icon공유
 
Manage episode 489866755 series 2637014
Real Python에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Real Python 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

What goes into scaling a web application today? What are resources for learning and practicing DevOps skills? This week on the show, Calvin Hendryx-Parker is back to discuss the tools and infrastructure for autoscaling web applications with Kubernetes and Karpenter.

Calvin is the co-founder and CTO of Six Feet Up, a Python and AI consultancy. He shares how they recently helped a client scale a web application that employs video, audio, and chat sessions. We dig deep into the tooling behind modern Kubernetes systems management and performance monitoring.

Calvin shares a project bootstrap tool for streamlining the development and deployment of a web application. The tool includes a complete blueprint for the infrastructure needed to get started.

We also dig into a collection of coding tools Calvin has been experimenting with. We discuss his recent IndyPy presentation, “Battle of the Bots,” which put several AI code assistants through their paces.

This episode is sponsored by AMD.

Course Spotlight: First Steps With LangChain

Large language models (LLMs) have taken the world by storm. In this step-by-step video course, you’ll learn to use the LangChain library to build LLM-assisted applications.

Topics:

  • 00:00:00 – Introduction
  • 00:02:23 – Scaling a Django project using Kubernetes
  • 00:05:35 – Elastic Kubernets Service (EKS)
  • 00:09:10 – Kubernetes terminology and improvements in tooling
  • 00:11:29 – The Control Plane and the API
  • 00:14:06 – Video Course Spotlight
  • 00:15:11 – scaf: providing DevOps engineers a blueprint for new projects
  • 00:17:21 – What have been the benefits of scaf for internal teams?
  • 00:20:18 – How do you identify and reproduce scaling issues?
  • 00:22:44 – Dealing with IP address scaling
  • 00:26:03 – Why use other observability tools beyond AWS internal ones?
  • 00:29:22 – Other lessons learned and moving toward refactoring code
  • 00:33:53 – Scaling a voice-based LLM application
  • 00:35:35 – Sponsor: AMD
  • 00:36:11 – Looking at limitations and bottlenecks
  • 00:38:08 – Configuring a Kubernetes operator to act on itself
  • 00:39:47 – What project components are within a pod of containers?
  • 00:42:31 – Budgeting for scale using Karpenter
  • 00:43:58 – Tools for running containers locally
  • 00:46:01 – Are containers still a primary development tool for you?
  • 00:50:58 – Resources for learning DevOps and Kubernetes
  • 00:52:54 – Conferences and talks
  • 00:53:56 – Battle of the Bots: comparing coding agents
  • 00:55:15 – What are you excited about in the world of Python?
  • 00:56:20 – What do you want to learn next?
  • 01:02:42 – What’s the best way for people to follow your work online?
  • 01:03:33 – Thanks and goodbye

Show Links:

Conferences and Meetups:

AI Coding Tools:

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

Support the podcast & join our community of Pythonistas

  continue reading

256 에피소드

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