關於這一集

英語
美國

逐字稿 🔗

搜尋以前的節目

搜尋KubeFM以前的節目。

本 Podcast 中的其他單集

What happens when an AI agent stops generating Kubernetes YAML and starts operating the cluster directly? Mike Solomon, software engineer at AIATELLA, explains how his team moved from a sprawling Helm setup to Markdown-driven infrastructure specs that Claude Code can execute, test, and refine. You …
Most teams scale Kubernetes by thinking about pods and nodes. At Render, Brian Stack ran into a different dimension: hundreds of thousands of namespaces per cluster, multiplied across DaemonSets that list-watch every namespace. Brian explains how Render traced the issue through Calico and Vector, w…
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 outpu…
A single Kubernetes CRD for every service request turns small changes into full-platform reconciliations. Alexander Held, former platform engineer at Mercedes-Benz Tech Innovation, describes a production refactor from a 2,000-line CRD to purpose-built resources and controllers. He shows how teams c…
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…
免責聲明: 本頁面嵌入的 Podcast 和封面圖片來自 KubeFM,歸其所有者所有,與 Listen Notes, Inc. 無關聯,也未獲得 Listen Notes, Inc. 背書。