Github Page for the GDCC "Dataverse Containerization Working Group"
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Updated
Nov 21, 2024 - HTML
Github Page for the GDCC "Dataverse Containerization Working Group"
This repository features lecture slides, hands-on exercises with solutions, and practice quizzes covering key topics like CI/CD, Docker, and cloud computing. This course enhances understanding of essential DevOps principles and prepares participants for the certification exam and practical scenarios in real-world environments.
Most popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes.
Emulator and development containers for Plato (a document reader for Kobo e-readers)
This repository contains a real-time web application built using Node.js and Socket.IO, designed to facilitate real-time communication between clients and the server.
Various Docker Compose examples of selfhosted FOSS and proprietary projects.
🚀 A Containerized release-it to run anywhere
ConMan: An easy and flexible Docker based container manager
Rootless Docker Images for Secure Kubernetes Deployments
Docker images for .NET and the .NET Tools.
Thanks for visiting my GitHub profile, and I hope you enjoy your stay!
This repository is a nodejs based microservices built with the monorepo strategy
Quick docker development environment
Containerized MiG
Explore the world of containerization with Docker and Docker Compose. These powerful tools package, distribute, and manage containerized applications.
A platform for packaging and launching ephemeral backend stacks with a focus on approachability for the average developer.
Open Source, Community Driven, Documentation for Techno Tim YouTube Videos/ Complete with examples for all your copy pasta needs!
A lightweight container orchestration tool designed to replicate Docker functionalities.
Cloud-native portfolio platform powering bjornmelin.io. Demonstrates AWS solutions architecture through microservices, serverless APIs, and infrastructure as code. Built with Next.js, AWS CDK, and modern DevOps practices.
This project analyzes advertisement responses using a Django backend and a Vite+React frontend. It includes scripts to load, clean, and transform data, which are executed within Docker containers. Data is stored in a MongoDB database, and the project can be run with or without Docker by adjusting the MongoDB connection strings.
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