Kubezilla

Expert insights, tutorials, and best practices for Kubernetes orchestration and cloud-native development.

[Kubezilla @kubezilla_io]

The dinosaurs didn’t go extinct…
They just evolved into Kubernetes experts 🦖

Welcome to 2026 with Kubezilla — where clusters roar louder and pods run faster.

Happy New Year, Devs! 🚀

#Kubezilla #CloudNative #Kubernetes

[LearnKube @learnk8s]

Kroc is an educational Kubernetes Operator built with Go and kubebuilder that watches arbitrary resources and reactively creates derived objects using Go templating

➤ https://t.co/q7tqUgHmnA

[Kubezilla @kubezilla_io]

Top 15 AI Prompts Every DevOps Engineer Should Master in 2026 https://t.co/YnBF9916DB

[DevopsCube @devopscube]

Kubeflow is no longer "just" an MLOps platform.

It is evolving into a cloud-native AI platform for:

• Distributed AI training
• LLM fine-tuning
• GenAI pipelines
• AI workflows on Kubernetes

If you're a DevOps engineer looking to move into AI infrastructure, Kubeflow is one of the best platforms to learn today.

Recent Kubeflow releases have expanded support for GenAI use cases, distributed training, and modern AI platform workflows.

The best way to learn?

Build one yourself.

I created a step-by-step hands-on guide that shows how to:

✅ Set up Kubeflow Pipelines on Kubernetes
✅ Create pipelines with the Kubeflow SDK
✅ Trigger and monitor pipeline runs

🔗 https://t.co/Pw1O8j9pXM

If you're new to Kubeflow, start here first:

🔗 https://t.co/RWG1UJBgzO

We're also wrapping up our MLOps newsletter series and moving into LLMOps next.

Follow if you're learning Kubernetes, MLOps, and AI Infrastructure.

#Kubernetes #Kubeflow #MLOps #LLMOps #DevOps

[LearnKube @learnk8s]

This tutorial shows how to run production generative AI at the edge by attaching on-prem NVIDIA DGX systems to an Amazon EKS control plane with hybrid nodes, GPU Operator, and NVIDIA NIM

➤ https://t.co/TI7Zhzm266

[Kubernetes @kubernetesio]

Etcd Patch Releases: v3.7.1, v3.6.14, and v3.5.33 - https://t.co/iXvvpXep0d #Kubernetes

[Docker @Docker]

What actually changes when you run an agent inside a Docker Sandbox?

This hands-on guide by @ajeetsraina walks through the setup, the isolation model, and the core concepts behind Docker Sandboxes. https://t.co/iwfMaLtZ48

[Darryl Ruggles @RDarrylR]

Managing custom microservices in Kubernetes often means endless YAML, manual scaling, and constant ConfigMap tweaks. Operators can help with these and automate a lot of that. Operators are typically written with Go but this article shows you can build one in Python instead.

The kopf framework is used to build a working operator in under 100 lines. It covers defining a CRD, writing the reconciliation logic, running it locally against your cluster, and then containerizing it for deployment. Code samples are included as well to try out for yourself.

Qing has put together a good starting guide that can help get you running something quickly.

https://t.co/7hIW7VXY4U

#Python #Kubernetes #Operator #kopf

[Kube Builders @KubeBuilders]

SloK lets teams define SLOs as Kubernetes custom resources, generate Prometheus rules, track error budgets, backtest SLO YAML, and view reliability trends in a dashboard

➜ https://t.co/FsZAXjgPST

[Kubernetes @kubernetesio]

Kubernetes Dashboard to Headlamp: A Step-by-Step Guide - https://t.co/AbjvqSXTmH #Kubernetes

[Kube Architect @K8sArchitect]

This tutorial shows how to build a per-user SaaS setup on EKS Auto Mode with one pod, one subdomain, one persistent volume, wildcard TLS, and a shared ALB

➜ https://t.co/JEQhGLr3aa

[Kube Architect @K8sArchitect]

k8s-d2 generates D2 diagram files from Kubernetes cluster topology, visualizing namespaces, workloads, services, and their relationships with customizable grid layouts and filtering options

➜ https://t.co/stidGSXIXj

[LearnKube @learnk8s]

LFK is a keyboard-first terminal UI for navigating Kubernetes clusters with a Miller-column layout, owner-based resource hierarchy, logs, Helm, ArgoCD, Trivy, RBAC, and crash investigation views

➜ https://t.co/Dy7FwLeZq3

[Jonathan Búcaro @jebucaro]

@Docker @ajeetsraina Very useful, thank you for sharing! 👀

[Docker @Docker]

You can isolate an agent inside a sandbox. But where do its API keys go?

@ajeetsraina shows how to integrate 1Password CLI with Docker Sandboxes so credentials stay in your vault, out of the sandbox, and never in plaintext.

https://t.co/XyWbuN1E0B

[CNCF @CloudNativeFdn]

⏰ Tomorrow is the last day!

The CFP for #O11ySummit Europe (5 October, Prague) closes 7 July at 11:59 pm CET. First-time speakers encouraged! Notifications will be made by 21 July.

📣 Submit by tomorrow → https://t.co/vzeSlptkPP

[Kubezilla @kubezilla_io]

Top 15 AI Prompts Every DevOps Engineer Should Master in 2026 https://t.co/YnBF9916DB

[Kubezilla @kubezilla_io]

Interesting.

[Docker @Docker]

“An AI coding agent is a junior developer with root access, the ability to type at 10,000 words per minute, and no instinct for when to stop and ask.”

This AI Agent Horror Story walks through real-world incidents, and what security patterns teams can adopt in response: https://t.co/kXobueqrJJ

[Docker @Docker]

“An AI coding agent is a junior developer with root access, the ability to type at 10,000 words per minute, and no instinct for when to stop and ask.”

This AI Agent Horror Story walks through real-world incidents, and what security patterns teams can adopt in response: https://t.co/kXobueqrJJ

[Kubezilla @kubezilla_io]

As AI takes on higher-stakes decisions and agents begin operating with greater autonomy, the organizations that lack clear guardrails face mounting exposure to regulatory penalties, security vulnerabilities, and reputational damage. https://t.co/1juin9tAsg

[Kubernetes @kubernetesio]

Last Week in Kubernetes Development: Week Ending May 24, 2026 - https://t.co/m09UHzwSZo