Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

This repo contains Kubernetes manifests for the below mentioned topics

Operate-first application manifests

Kubectl, Kustomize, Helm and Helmfile version manager

🚀 A simple, modern, full-stack toolkit for Python 🐍

Example GitOps pattern for multiple Kubernetes clusters using ArgoCD, sealed-secrets, Helmfile, Kustomize, and python scripts. Implemented in my Kubernetes clusters.

Generate Debian packages for common devops tools such as kubectl, kustomize, helm, ...

Kustomize for Kubernetes, but in Python

Application for deploy your microservice in Kubernetes

Python wrapper that makes Kubernetes' kustomize more lovely

Minimal local renderer for Helm template YAML, written in Python.

Archive. Arch-ive. Ar-CHEE-vay. Archivey. See website link for new version.

Run django dev environment on kubernetes using Kustomize and Skaffold

A minimal template using KRM to deploy a FastAPI app.

A demo app to demonstrate Github Actions CI/CD pipeline for deployment on Kubernetes (Minikube).

Examples for experimenting with opentelemetry within a local kubernetes setup.

Rocky Linux Latest Version Checker

A simple script to render argocd application manifests.

Kubernetes for everyone

A simpler alternative to kustomize