Subject
7 entries
Kubernetes
Bookmarks
Rancher K3s: Kubernetes on Proxmox Containers
A guide to running K3s (lightweight Kubernetes) inside Proxmox LXC containers — a popular homelab setup that gives you a real Kubernetes cluster on commodity hardware without the overhead of full VMs. Good reference for homelabbers who want production-grade container orchestration locally.
abcdesktop.io: Cloud Native Desktop
abcdesktop.io is a cloud-native desktop environment running on Kubernetes — a full web-accessible desktop with Linux applications delivered via browser. Think VDI built on containers rather than VMs.
Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI
A book/transcript from the This Week in ML podcast by Sam Charrington on using Kubernetes as the operational backbone for enterprise ML workloads. Covers the full spectrum from containerized training jobs to model serving, making the case that Kubernetes is the de facto standard for scaling ML in production.
KubeSail: Kubernetes Templates for Self-Hosting
KubeSail is a managed Kubernetes platform with a library of one-click deployment templates for self-hosted apps — deploy Nextcloud, Gitea, Bitwarden, and dozens more to your own cluster or KubeSail's hosting. Lowers the Kubernetes barrier for self-hosters.
Homelab: Fully Automated Self-Hosting Infrastructure
Khue's homelab is a fully automated self-hosting infrastructure project: from empty disk to running services with a single command, using Ansible for bare-metal provisioning, K3s for Kubernetes, and ArgoCD for GitOps deployment. A reference architecture for serious homelab automation.
Data Science Meets DevOps: MLOps with Jupyter, Git, and Kubernetes
Kubeflow's blog post on MLOps practices combining Jupyter notebooks, Git, and Kubernetes — the infrastructure side of making ML reproducible, collaborative, and deployable. Establishes the canonical MLOps stack for Kubernetes-based ML teams.
hyperctl: Kubernetes and Docker on Mac and Windows
hyperctl is a CLI tool for running lightweight Kubernetes and Docker clusters on Mac and Windows using native hypervisors — a faster alternative to Docker Desktop and Minikube for local Kubernetes development.
