KubeFM

This interview is brought to you by Hadron, the new lightweight secure Linux OS from the Kairos team at Spectro Cloud https://ku.bz/599PtGNZ3

"A lot of organizations don't have that choice. You basically have to take what your security team is telling you."

Mauro Morales on picking an OS for Kubernetes



📺: https://ku.bz/8cpgjFfjn

Intuit celebrates Numaproj — a Kubernetes-native, serverless platform for building scalable, reliable event-driven applications. Check out the project here: https://ku.bz/PQ-hn3ZCm

Argo Workflows is fire-and-forget. Once the job's done, pods terminate—no streaming

That's why Sriharsha Yayi and Derek Wang built NumaFlow





📺: https://ku.bz/dbFK-9Yxw

📣: https://ku.bz/PQ-hn3ZCm

How to approach platform abstractions in infrastructure with Michael Levan. Focus on deploying software, not managing platforms

Watch: https://kube.fm/kubernetes-silos-michael

"We are very excited to announce the launch of Hadron Linux — a Linux distribution engineered from scratch by the Kairos team."

Ettore Di Giacinto on the new minimal OS for edge Kubernetes



📺: https://ku.bz/wMhKpZ5bQ

📣: https://ku.bz/_9RmXnjDJ

This episode is sponsored by LearnKube - get started on your Kubernetes journey through comprehensive online, in-person or remote training https://learnkube.com/training

🗣️ Nicholaos Mouzourakis breaks down common deployment patterns for Open Policy Agent (OPA) in Kubernetes environments, comparing pods, replica sets, daemon sets, sidecars, and WASM modules

Watch: https://ku.bz/S-2vQ_j-4

This interview is brought to you by StormForge — automate Kubernetes rightsizing with machine learning. Smarter limits, less waste, better performance. https://ku.bz/X7ls6SKmr

"If our trading API SLOs move in the wrong direction, we'll overspend — more CPU, more memory, more replicas."

Ray Chen on handling CPU throttling in financial trading



📺: https://ku.bz/w50VfwtYd

This interview is brought to you by AWS — join our 3-part free educational series on deploying and scaling GenAI workloads on Kubernetes. Technical talks + hands-on workshops https://ku.bz/C-zn5FY6C

🗣️ Mike Stefaniak, Head of Product, Kubernetes and Registries @ AWS, shares his vision for Kubernetes

He predicts Kubernetes will become invisible infrastructure - powering applications behind the scenes

Watch: https://ku.bz/J2v9dJwgp

This interview is brought to you by StormForge — automate Kubernetes rightsizing with machine learning. Smarter limits, less waste, better performance. https://ku.bz/X7ls6SKmr

🗣️ Rafael Brito discusses cultural and organizational barriers preventing successful Kubernetes adoption, emphasizing how fear, doubt, and resistance create challenges beyond technical implementation

Watch the full interview: https://ku.bz/nZKfwy9q5

This episode is sponsored by LearnKube - get started on your Kubernetes journey through comprehensive online, in-person or remote training https://learnkube.com/training

🗣️ Tanat Lokejaroenlarb explains the hidden complexities of blue-green migrations between Kubernetes clusters, introducing the concept of "scale mismatch" where new clusters start empty. In contrast, existing ones are optimized for production

Watch: https://ku.bz/VVHFfXGl_

https://assets.learnk8s.io/linkedin-173.png

This week on the Learn Kubernetes Weekly:

🔥 Egress with Squid Proxy
💪 OS Migration Reduced Infra 30%
⚡ Auto & Load-based Scaling
🎯 Smart Scheduling: Cost Optimization
🤖 Claude Code Pilots K8s

⭐️ Hadron

Read it now: https://kube.today/issues/173

This interview is brought to you by Akamai Cloud — build and deliver low-latency, edge native applications on the world's most distributed cloud computing platform https://ku.bz/42RG6y4c9a

"You're not building a platform for one team — you're building it for many. Composability is the key."

Abby Bangser on scaling internal platforms



📺: https://ku.bz/5Rqq275dl

🗣️ Xe iaso CEO at Techaro shares their approach to storage architecture in Kubernetes with a practical three-tier solution

Watch the full episode: https://ku.bz/2kzj2MgfH

https://res.cloudinary.com/learnk8s/image/upload/v1772544380/gpu-sharing-problems-2026/slide-1.png

You want to share GPUs: one team runs inference, another trains models, and both need the same expensive cards.

The problem is that GPUs don't behave like CPU and RAM under contention.

(I will cover this on Thursday: ku.bz/multitenant26 )

🧵

This episode is sponsored by LearnKube - get started on your Kubernetes journey through comprehensive online, in-person or remote training https://learnkube.com/training

"We assumed that implicit budget happens in Karpenter. It's not the case."

Adhi Sutandi on Karpenter's default 10% disruption budget catching his team off guard



📺: https://ku.bz/XyVfsSQPr

🗣️ Zbyněk Roubalík from Kedify explains what sets Kedify apart in autoscaling: comprehensive scaling at both cluster level and application level on Kubernetes

Watch the interview: https://ku.bz/qN7BLcYTK

This interview is brought to you by StormForge — automate Kubernetes rightsizing with machine learning. Smarter limits, less waste, better performance. https://ku.bz/X7ls6SKmr

"The supply chain has become the sharp end of the wedge."

Andrew Martin on why CISOs are prioritizing SBOMs, Cosign signatures, and continuous runtime validation in Kubernetes



📺: https://ku.bz/wyMlWGTqf

The "happy path" for using Kubernetes resources effectively from Paul Butler: focus on deployments, services, and config maps

Watch: https://ku.bz/Dmn93dd7M

https://res.cloudinary.com/learnk8s/image/upload/v1772004192/kubex-book-2026/slide-1.png

Gulcan and I wrote a free book on right-sizing GPUs in Kubernetes.

Here's the short version (thread)

https://res.cloudinary.com/learnk8s/image/upload/v1772003454/kubex-book-2026/gpu-right-sizing.png

How much of your GPU spend is actually producing work?

We published a free book on right-sizing GPUs in Kubernetes, covering metrics to architecture decisions across 4 chapters.

ku.bz/KL4jRvsL4

🗣️ Andrew Hillier, Co-founder CTO @ Densify, discusses why organizations are moving away from CPU limits in Kubernetes, arguing that premature throttling provides no benefit when nodes rarely reach capacity

Watch: https://ku.bz/-0wmZX03V