KubeFM

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.