Pumba lets you kill, pause, and stress containers while injecting network delays, packet loss, and corruption.

You can deploy it as a DaemonSet for cluster-wide chaos engineering.

More: https://ku.bz/qcvwrrzn0

"Deploying an AI agent or a model for inference is just another app."

Tsahi Duek argues companies don't adopt Kubernetes for AI from scratch — they already have the CI/CD pipelines, autoscaling, and observability in place. The same infrastructure that runs web services can shift to training jobs, then flip back to inference.



Watch the full interview: https://ku.bz/2r41YKBZb

OpenDepot is a self-hosted, Kubernetes-native registry for your OpenTofu/Terraform modules and providers, so you control distribution and versions rather than relying on the public registry.

More: https://ku.bz/ZqbpsnrrQ

At Komodor, they spend 10% of development time building AI features and 80% on validation.

Itiel Shwartz explains the real cost of shipping AI for Kubernetes operations: LLM-as-a-judge, A-B testing, benchmarking — a full suite of evaluation before anything reaches production. The challenge isn't building AI capabilities. It's proving they actually work.

You need internal confidence first. Then you earn your users' confidence.





Watch the full interview: https://ku.bz/b9bDXQ_xq

This interview is a reaction to Mai Nishitani's episode https://ku.bz/3hWvQjXxp

Kubernetes is not difficult because there are too many commands.

It is difficult because networking, scheduling, deployments, storage, autoscaling, and security interact in ways that are hard to see.

Our live Advanced Kubernetes course connects those pieces into one practical mental model.

The next online course runs on 10, 11, 17, and 18 September.

- Four days of live instruction
- 60% hands-on labs
- Small classes
- Lifetime access to the material and private Slack

Joining individually?
https://learnkube.com/online-advanced-september-2026

Need several engineers to build the same baseline? We also deliver private training around your platform, workloads, and goals:
https://learnkube.com/corporate-training

This article argues that MCP servers for Kubernetes ship the accelerator without the brake, and walks through a two-tier design in which an agent can only propose a change, and a human approves the exact plan before it is applied.

More: https://ku.bz/qwTBzbg1y

This tutorial builds a real k6 test suite against Google's Online Boutique running on a home lab Kubernetes cluster, with a shared client library, smoke, load, stress, and browser tests, and the two bugs the first run exposed.

More: https://ku.bz/WdN67jxpY

AWS built SOCI and the fast-pull snapshotter to improve container image pull times — but they didn't keep it to themselves. Phil Estes explains why open source and upstream-first development were the only approaches that made sense.

The tools integrate directly with Containerd, work with any cluster (not just EKS), and improvements are flowing back into upstream core projects. You don't even need a custom snapshotter to benefit.



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

🚀 We just published The Technical Guide to Kubernetes Rightsizing in the Age of AI.

The guide follows the complete rightsizing process, from collecting metrics to applying changes safely in production.

- It explains how requests and limits affect scheduling and Linux resource controls.
- It examines how application runtimes change CPU and memory behavior.
- It also shows how KRR and VPA turn historical data into recommendations.

The book also examines where AI can help: collecting evidence, explaining recommendations, drafting policy, and carrying approved changes across systems without breaking prod.

Thank you to Gulcan and @danielepolencic for the research, experiments, writing, and illustrations behind this book.

Download the complete guide for free:

https://learnkube.com/kubernetes-rightsizing

Kubie is an alternative to kubectx and kubens that gives every shell its own Kubernetes context and namespace, and can load contexts from split config files.

More: https://ku.bz/-tvB-G9Cx

🎟️ We have 50 free OPEN Passes for API World + CloudX + AI TechWorld 2026!

Join developers, engineering leaders, and startups at three co-located conferences focused on APIs, cloud, and AI engineering. Each pass is valued at $195.

📆 September 1–3, 2026
📍 Santa Clara Convention Center, CA

Claim your free pass: https://link.devnetwork.com/GZljiJ78

Introducing Kube Signals: the new KubeFM show that turns keynote trends into direct conversations with the speakers shaping them.

For episode one, Brian Teller sits down with Saiyam Pathak from vCluster after his KubeCon India keynote on AI factories. They examine why the GPU beneath the model is becoming a platform-engineering problem.

They discuss:

- Why whole-GPU allocation wastes capacity
- How DRA, HAMI, MIG, and MPS enable sharing
- What Kubernetes must learn to support AI factories

Watch the full episode: https://ku.bz/4QZDqrnf-

This 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.

Kubernetes turned 10 last year. What does the next decade look like?

Abby Bangser sees Kubernetes becoming like Linux — essential infrastructure that fades into the background. The core will solidify while the community shifts focus to higher-level abstractions. AI workloads are accelerating this: they're being built on Kubernetes, which pushes it further into the "operating system" layer that teams build on top of rather than interact with directly.

The future of Kubernetes isn't more Kubernetes — it's what gets built on top of it.



Watch the full interview: https://ku.bz/5Rqq275dl

This case study shows how EXANTE replaced manual Saturday releases with a fully automated GitLab CI + Flux + Jira pipeline across 60+ Django modules, 7 GKE environments, and 30+ services to meet fintech regulatory audit requirements.

More: https://ku.bz/8BHV_JGB8

This week on Learn Kubernetes Weekly 198:

🏗️ Data Lakehouse: Infrastructure
🔭 What the Popularity of Emerging Tools Tells Us About Kubernetes' Future
⚡ Kafka on Kubernetes: Performance Lessons for Any Disk-Heavy Data Service
🌐 To Centralise or Not to Centralise: The Questions That Shaped the Kubernetes CODECO Federated Architecture
🚨 Your AI Just Deleted the Wrong Deployment. Now What?

Read it now: https://kube.today/issues/198

⭐️ This newsletter is brought to you by LearnKube — master Kubernetes with hands-on training designed for engineers who want to learn the smart way https://ku.bz/hypSbyc-V

Changing resources without restarts changes the trade-off in Kubernetes.

Roman Arcea explains how Vertical Pod Autoscaler and live pod resizing can make resource tuning less disruptive for running workloads.



Watch the full interview: https://ku.bz/sFvFF3Kvs

Praesto is a Kubernetes-native operator and CSI driver that automates the caching and mounting of AI model artifacts from Hugging Face into workloads using local node storage or shared PVCs.

More: https://ku.bz/nl0_KD09R

What emerging Kubernetes tools are experts paying attention to right now?

Bart Farrell from KubeFM looks back across 100+ KubeFM conversations to surface the tools guests kept mentioning, including Karpenter, Dapr, Argo CD, Kagent, Agent Gateway, OpenTelemetry, KRO, KCP, KubeVirt, Kueue, Kyverno, Headlamp, KEDA, Crossplane, KServe, ACK, and more.

diffyml compares YAML files by structure instead of line by line, and knows enough about Kubernetes resources to match them up even when the order changes.

More: https://ku.bz/69kPj1b9R

This article explains the technical transition of Kubernetes port-forwarding and streaming commands from the deprecated SPDY protocol to WebSockets to improve proxy compatibility.

More: https://ku.bz/wz1d-v4qY

kubectl-x is a kubectl plugin that runs the same read-only command against every context in your kubeconfig in parallel, and can merge the results into valid JSON or YAML.

More: https://ku.bz/DKVVbR-vB