Welcome to an in-depth look at working with Docker and Kubernetes as part of the EIDF GPU Cluster transition guide. This repository serves as a complement to our YouTube tutorial, providing step-by-step walkthroughs for beginners and machine learning enthusiasts wanting to make the most of Docker and Kubernetes.
Please note that this Tutorial is specific to the informatics namespace on the EIDF cluster. It should not be used as guidance by other EIDF customers. The official EIDF userguide and documentation can be found here.
The repository includes four in-depth demos:
- Starter Docker Demo: A beginner-friendly introduction to Docker that covers the basics - perfect if you're new or need a refresher.
- Advanced Docker Demo: A more nuanced Docker tutorial aimed at Machine Learning practitioners. This demo takes you through the creation of Docker containers suitable for ML tasks.
- Kubernetes Demo 1: A straightforward tutorial introducing Kubernetes concepts and demonstrating how to create and manage pods and jobs.
- Kubernetes Demo 2: An in-depth look at running complex workflows and managing resources in a Kubernetes environment.
MIT License