Episode

KubeCon EU 2025

Podcast
Kubernetes Podcast from Google
Published
May 15, 2025
Duration seconds
3122
Processing state
processed
Canonical source
https://e780d51f-f115-44a6-8252-aed9216bb521.libsyn.com/kubecon-eu-2025
Audio
https://traffic.libsyn.com/secure/e780d51f-f115-44a6-8252-aed9216bb521/KPod252.mp3?dest-id=3486674
JSON
/v1/public/podcasts/kubernetes-podcast-from-google/episodes/kubecon-eu-2025
Markdown
/podcast/kubernetes-podcast-from-google/kubecon-eu-2025.md

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Summary

A curated collection of live interviews from KubeCon EU 2025 exploring the evolution of platform engineering and AI workloads. The episode covers everything from large-scale government cloud migrations to running Kubernetes on a dairy farm.

Topics

  • Platform Engineering
  • Kubernetes
  • LLM Orchestration
  • Gateway API
  • Cloud Native Computing Foundation
  • KubeCon EU 2025
  • AI Infrastructure
  • Observability

Highlights

  • Main idea: Platform engineering is shifting focus toward providing internal developer products rather than just managing infrastructure
  • Practical takeaway: When scaling LLM workloads, use token generation or GPU utilization as custom metrics for autoscaling instead of traditional CPU/RAM
  • Technical update: The Gateway API Inference Extension enables intelligent routing for multimodal AI traffic
  • Failure mode: Relying solely on standard metrics like request counts can lead to inefficient scaling for unpredictable LLM workloads
  • Community insight: The expansion of KubeCon to a global, frequent schedule is driving rapid innovation and testing of edge cases in production

Chapters

  1. 1:00 CNCF News & Governance: Updates on the Automated Governance Maturity Model and the evolution of the Gateway API and Open Observability Summit.
  2. 5:05 Platform Engineering at NAV: How the Norwegian Labor and Welfare Administration transitioned on-premise applications to a cloud-based platform.
  3. 8:45 Kubernetes Resource Updates: Discussion on in-place pod updates and their benefits for Java applications.
  4. 12:50 The Rise of Developer Platforms: Exploring how modern development platforms are changing the interaction between product owners and infrastructure.
  5. 24:40 Running LLMs on Kubernetes: Deep dive into scaling LLM workloads using custom metrics and the new Gateway API Inference Extension.
  6. 28:35 Core Component Updates: Updates on SIG etcd, the new etcd operator, and the Kubernetes 1.30 release cycle.
  7. 35:50 Edge Cases: Kubernetes on a Farm: A unique look at running Kubernetes in unconventional environments and the future of the KubeCon global series.