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KubeFM

Discover all the great things happening in the world of Kubernetes, learn (controversial) opinions from the experts and explore the successes (and failures) of running Kubernetes at scale.

Podcast · By KubeFM · American English · Official site

Indexed episodes, last 90 days
7
Latest publication
Sep 8, 2026
Audience
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Earliest in this view
Jul 28, 2026

Latest episodes

  1. Episode · Sep 8, 2026

    Kubernetes Can Run Your Database. Your Team Can't., with Kat Cosgrove (opens the original)

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    KubeSelect is a new show that tests one bold Kubernetes hypothesis with one expert. Hosts Salman Iqbal and Bart Farrell examine the evidence and ask whether the claim holds up. In episode two, Kat Cosgrove tackles a long-running question: should teams run databases on Kubernetes? StatefulSets, persistent volumes, CSI, and database operators changed the technical answer, but they did not remove the operational risk. In this episode: How Kubernetes storage has matured and why old assumptions persi

  2. Episode · Sep 1, 2026

    Observability Won't Save You, with Henrik Rexed (opens the original)

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    Kube Select takes one bold Kubernetes hypothesis and tests it with an expert. In the first episode, Salman Iqbal and Bart Farrell ask whether most organizations have an observability problem or a decision-making problem. Henrik Rexed , Senior Staff Engineer at Dynatrace, challenges the original claim. Teams can collect metrics, logs, and traces, but that telemetry needs system relationships, ownership, and deployment history to support a confident decision. In this episode: Why telemetry without

  3. Episode · Aug 25, 2026

    Why Kubernetes Needs to Learn GPUs, with Saiyam Pathak (opens the original)

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    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,

  4. Episode · Aug 19, 2026

    GitOps at Enterprise Scale, with Elad Cohen (opens the original)

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    At enterprise scale, a deployment pipeline that runs Helm upgrades directly against Kubernetes hides drift, mixes configuration with CI logic, and makes the last pipeline run the source of truth. Elad Cohen explains how WSC Sports moved from Azure DevOps to GitHub Actions and redesigned delivery around Git and Argo CD. The resulting platform separates builds from deployments, keeps service configuration in values files, and continuously reconciles clusters. In this interview: Why CI should chang

  5. Episode · Aug 10, 2026

    Automating Pod Disruption Budgets with Kyverno, with Ahmad Asmar (opens the original)

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    Karpenter can reduce Kubernetes infrastructure costs, but aggressive node consolidation can also expose workloads that lack disruption safeguards. Ahmad Asmar explains how Zencity uses Kyverno to automatically generate Pod Disruption Budgets , while accounting for existing PDBs, percentage-based availability targets, single-replica workloads, and environment-specific policies. In this interview: How Karpenter consolidation changes the availability risks of cluster operations Why Kyverno's genera

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