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Architecting Next-Generation Infrastructure: Enterprise Multi-Cluster Management Using Rancher, Virtual Clusters (vCluster), and Kargo GitOps

Taofeek Abiodun Olasunkanmi Yusuf

This guide shows you how to architect a multi-cluster Kubernetes environment using Rancher for governance, vCluster for cost-efficient isolation, and Kargo for automated GitOps promotion pipelines.

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Why Kubernetes Needs to Learn GPUs
Why Kubernetes Needs to Learn GPUs

Kube Signals starts where the keynote ends: with the trends that platform teams will have to operationalize next.

In this special episode, Brian Teller speaks with Saiyam Pathak about his KubeCon India keynote and the shift from developer platforms to AI factories. They examine what GPU scarcity, shared accelerators, and AI workloads mean after the conference slides meet real infrastructure.

In this interview:

  • Why GPU infrastructure is becoming a platform-engineering concern
  • How DRA, HAMI, MIG, and MPS change GPU allocation and utilization
  • Where isolation, scheduling, and observability become harder for AI platforms
  • Which cloud-native AI trends and projects platform engineers need to watch

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    • DevOps Engineer with Mark43

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    • Tech stack: Kubernetes, AWS, Go, Python, Terraform, Datadog, Grafana, Prometheus

    • Site Reliability Engineer with MyFitnessPal

    • Salary: $120K to $165K a year

    • Location: remote from

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    • AI Enterprise Technical Program Manager with Redhorse Corporation

    • Salary: $37 to $485.65K a year

    • Location: based in the office in Arlington, VA, USA

    • Tech stack: Kubernetes, AWS, Azure, Docker, Spark

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