A UI for local Kubernetes clusters created with k3d

Developer's Helper to Docker, Kubernetes, and Terraform. Fully automatic, without any config or question 🙌

Small and energy-efficient self-hosting infrastructure.

Web knowledge is fragmented — duplicated across fonts, embeddings, metadata, and renderings. Humans see pixels, AI sees tokens, neither shares the source. Knowledge3D: a sovereign GPU-native reference implementation for W3C PM-KR, where humans and AI consume the same procedural knowledge from one source.

A ➡️ pytest plugin to make the management of (local) Kubernetes clusters a breeze. 🚀

☁️ CLI & TUI with a smol friendly vibe to get started with Kubernetes on metal, then bootstrap apps using Argo CD 🧸 Great for testing webapps and benchmarking.

A comprehensive development environment for Apache Polaris featuring RustFS integration on k3s. This kit automates the setup of a complete Polaris environment with S3-compatible storage, authentication, and role-based access control.

Python Flask App Deploy to Kubernetes

Molecule K3D Driver allows Molecule users to test Ansible code using K3D.

Notes on k8s / k3d

Tech Stack for microservices

K3d Deployment of NCAR Jupyterhub. This deployment is inspired by and adapted from NERSC JupyterHub Deployment.

Demo of Kafka, Kafka UI and Cassandra on Kubernetes with producers/consumers scenarios and dumping data to the database.

Easily manage your k3s/k3d local development environment

Example of developing go microservices locally using tilt inside a devcontainer and deployed into Kubernetes (k3d)

A practice for Kubernetes

Service Mesh (malha de serviço) é uma infraestrutura dedicada à comunicação, observabilidade e controle entre serviços em uma arquitetura de microsserviços. Istio é uma implementação popular de uma Service Mesh de código aberto. Ele foi projetado para gerenciar a comunicação entre serviços em um ambiente de microsserviços.

See branch 'VR-testing' for WebXR integration with Jupyter Notebook K3D Plotting widget.

Kubernetes deployment tutorial on your local machine