KubeFM

An application release can flood a shared Kubernetes cluster with logs, even though another team owns the logging infrastructure. Who has enough context to find the cause—and who owns the fix?Molly Sheets joins Daniele Polencic and Bart Farrell to examine how tenancy decisions affect coordination, maintenance, and staffing costs. She connects ownership to business goals and explains why faster AI-assisted changes still need controlled releases.In this episode:The cost of one central team supporting multiple tenancy modelsWhy AI Ops needs context from application and platform teamsNetwork boundaries for AI-generated workloadsMaintenance as quality, with canary and cell-based releasesSponsorThis episode is sponsored by LearnKube. When a release breaks production, can your developers and platform engineers troubleshoot it together? Request private Kubernetes training tailored to your platform and workloads, with live instruction and 60% hands-on labs.More infoFind all the links and info for this episode here: https://ku.bz/Db3VnC3nlInterested in sponsoring an episode? Learn more.

Non-deterministic agents pose specific challenges for platform teams in observability, state management, governance, and trust.Mauricio (Salaboy) Salatino explains why agentic applications behave like distributed multi-agent systems. His test assigned agents to take an order, cook the pizza, deliver it, and charge the customer. One order crossed 15 containers and produced 200 traces.In this interview:Why agent frameworks can recreate monolith scaling and resource contentionHow OpenTelemetry data can measure agent behavior and trust over timeWhy narrowly scoped agents are safer than agents that follow long sequencesHow the platform can become the learning layer that feeds better context back to LLMsSponsorKubernetes moves too fast to track everything. Learn Kubernetes Weekly filters out the noise to deliver one curated email with useful articles, tutorials, tools, jobs, events, and CFPs. Subscribe to Learn Kubernetes Weekly.More infoFind all the links and info for this episode here: https://ku.bz/TlVjXdnb6Interested in sponsoring an episode? Learn more.

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 persistWhere Kubernetes responsibility ends, and database responsibility beginsWhy operators do not replace database expertsWhen managed database services remain the better choiceSponsorKubernetes moves too fast to track everything. Learn Kubernetes Weekly filters out the noise to deliver one curated email with useful articles, tutorials, tools, jobs, events, and CFPs. Subscribe to Learn Kubernetes Weekly.More infoFind all the links and info for this episode here: https://ku.bz/7yDWlP8T5Interested in sponsoring an episode? Learn more.

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 context slows incident responseHow SLOs, ownership, and deployment events guide troubleshootingWhen more metrics increase cost without improving decisionsHow AI agents can investigate incidents without replacing human judgmentSponsorKubernetes moves too fast to track everything. Learn Kubernetes Weekly filters out the noise to deliver one curated email with useful articles, tutorials, tools, jobs, events, and CFPs. Subscribe to Learn Kubernetes Weekly.More infoFind all the links and info for this episode here: https://ku.bz/848pmBN5_Interested in sponsoring an episode? Learn more.

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 concernHow DRA, HAMI, MIG, and MPS change GPU allocation and utilizationWhere isolation, scheduling, and observability become harder for AI platformsWhich cloud-native AI trends and projects platform engineers need to watchSponsorThis episode is sponsored by LearnKube. Download the free book, The Technical Guide to Kubernetes Rightsizing, to understand what Prometheus and Grafana cannot tell you about safely reducing requests and limits.More infoFind all the links and info for this episode here: https://ku.bz/4QZDqrnf-Interested in sponsoring an episode? Learn more.

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 change Git instead of the clusterHow ApplicationSets create main and shadow deployments from one values fileHow AppProjects scope permissions and route alerts by teamWhy reusable Helm contracts make customization compound across servicesSponsorThis episode is sponsored by LearnKube. Download the free book, The Technical Guide to Kubernetes Rightsizing, to understand what Prometheus and Grafana cannot tell you about safely reducing requests and limits.More infoFind all the links and info for this episode here: https://ku.bz/wX5H5MjwvInterested in sponsoring an episode? Learn more.

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 operationsWhy Kyverno's generated policies can provide safer defaults than manual enforcementHow to handle duplicate PDBs, scaling workloads, and single-replica edge casesHow aggregated ClusterRoles keep custom permissions separate from Helm-managed resourcesSponsorThis episode is sponsored by LearnKube. Download the free book, The Technical Guide to Kubernetes Rightsizing, to understand what Prometheus and Grafana cannot tell you about safely reducing requests and limits.More infoFind all the links and info for this episode here: https://ku.bz/xrlPJg54DInterested in sponsoring an episode? Learn more.

An unmaintained identity component can remain invisible until a routine Kubernetes upgrade turns it into an incident.Fabián Sellés Rosa, Platform Engineer and Runtime Tech Lead at Adevinta, explains how his team moved from KIAM to EKS Pod Identities without discarding the security boundaries and application interface that their internal platform depended on.In this interview:Why KIAM became urgent to replace after years of stable operationHow Crossplane, a custom controller, and KRO with ACK compared against the team's criteriaWhy managed EKS Capabilities reduced toil but introduced observability and rollout trade-offsHow Kyverno preserved namespace-level authorization for IAM rolesSponsorThis episode is sponsored by LearnKube. Download the free book, The Technical Guide to Kubernetes Rightsizing, to understand what Prometheus and Grafana cannot tell you about safely reducing requests and limits.More infoFind all the links and info for this episode here: https://ku.bz/R_06hwnCnInterested in sponsoring an episode? Learn more.

GPU inference throughput depends on more than accelerator generation or count.Memory bandwidth, model parallelism, cache configuration, and the load generator itself all influence measured throughput.Federico Iezzi, Customer Engineer at Google Cloud, explains how his team achieved 1 million output tokens per second using Qwen 3.5 27B, vLLM, GKE Autopilot, and NVIDIA B200 GPUs.The discussion covers:Why memory bandwidth limits decode performanceHow Federico chose between tensor and data parallelismWhat changed after enabling multi-token prediction and reducing the KV cache footprint with FP8 quantization.SponsorThis episode is sponsored by LearnKube. Download the free book, The Technical Guide to Kubernetes Rightsizing, to understand what Prometheus and Grafana cannot tell you about safely reducing requests and limits.More infoFind all the links and info for this episode here: https://ku.bz/1xD9Md0mbInterested in sponsoring an episode? Learn more.

Forced platform migrations are usually treated as something to survive. At Scout24, a mandatory OS migration became an opportunity to rethink Kubernetes autoscaling, node provisioning, and infrastructure efficiency.John Ford explains how Scout24 moved its EKS-based Infinity platform from a polling autoscaler and over-provisioned capacity to Karpenter and Bottlerocket. The result was faster node startup, a safer migration path, and about a 30% infrastructure reduction without major downtime.In this interview:Why two-minute node provisioning forced a 25% capacity bufferHow Karpenter made the Bottlerocket migration saferWhat broke around EC2 metadata, AWS SDKs, and cgroupsHow the new foundation enables Spot, ARM, and GPU workloadsSponsorThis episode is sponsored by LearnKube — get started on your Kubernetes journey through comprehensive online, in-person or remote training.More infoFind all the links and info for this episode here: https://ku.bz/DdmVC2_7vInterested in sponsoring an episode? Learn more.