Build a GPU-Powered Kubernetes vCluster in GKE Using Backstage & ArgoCD - Part 2/2

Описание к видео Build a GPU-Powered Kubernetes vCluster in GKE Using Backstage & ArgoCD - Part 2/2

Welcome back to our vCluster series! 🎉 In our last video, we set up vClusters with an Internal Developer Platform using Backstage, Crossplane, GitHub Actions, ArgoCD, AWS, and vCluster. If you missed it, check it out in the useful links below.

Today, we're taking things up a notch! 🚀 We'll show you how to empower your developers by enabling them to request GPU-enabled vClusters on Google Kubernetes Engine (GKE) using Backstage and ArgoCD. This setup is perfect for machine learning and AI workflows.

In this video, you’ll learn:
✅ How to use a new generic Kubernetes cluster template in Backstage for EKS, GKE, or AKS powered by Crossplane.
✅ How to set up GKE clusters with GPU support.
✅ Step-by-step instructions to register your GKE cluster in ArgoCD and enable developers to create vClusters.
✅ How to update your Backstage templates for seamless vCluster creation.
✅ Tips on handling GPU quota limits with Google Cloud.
✅ A walkthrough of the GitHub Actions workflow for deploying vClusters.

Whether you're new to vClusters or looking to extend your capabilities with GPU support, this video has got you covered.

▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬

00:00 Introduction
00:40 The New Generic K8s Template in Backstage
03:28 Get the GKE Host Cluster Ready
05:55 vCluster Backstage Template Updates
09:13 Retister the vCluster Backstage Template
10:24 Create the vCluster as a Developer
14:48 Access the GPUs from the vCluster
16:27 vCluster Deploy GitHub Action Walk-Through
22:42 Wrap-Up

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Previous Video ►    • vCluster on EKS: Build Your IDP with ...  

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