A Docker swarm-based starting point for operating highly-available containerized applications.

NexentaEdge DevOps Edition, scale-out S3, SWIFT, NFS and iSCSI/NBD unified storage solution

A simple CRUD application using Flask and MySQL

a simple pipeline for new and experienced blender artists.

💼 Laravel install for building containerised applications with strict standards

Composable container application manager tool.

❄️ Containerized Application for Testing Purposes.

Step by step playing with docker

Hands on Practices on Web services & Server Client based applications

A containerized Google Chrome development environment designed specifically for GitHub Codespaces that runs in a VNC-enabled container with a web-based interface. It provides a complete Chrome browser environment that can be accessed through any web browser, making it ideal for development, testing, and remote access within GitHub Codespaces.

Containerize a 3-tier node.js application with Docker

Source code for a base geoCML deployment

Real-time video broadcasting backend built with Django and WebRTC. Implements WebSocket signaling with Django Channels and supports unique stream IDs for live video streams. Designed for containerized deployment with Docker and seamless integration with a React frontend.

A simple Django-powered SMTP server to handle contact form submissions via email. Containerized with Docker for easy deployment, it supports secure SMTP configuration with environment variables and REST API integration.

Podman AI Lab is an open-source extension for Podman Desktop that allows you to work with LLMs ( Large Language Models ) in a local environment. From getting started with AI and experimenting with models and prompts to model serving and playgrounds for common generative AI use cases, Podman AI Lab enables you integration AI into your application

simple selfhosted containerized discord music bot

Recipe for building an Apptainer to run Regenie

Automated API deployment for Boston house price prediction on Cluster Kubernetes.

The project demonstrates how to make a code operational to work on K8. Uses minikube for local setup

Installation of Cascade with docker-compose