https://github.com/southernmethodistuniversity/k8s_date
A Date with K8s
https://github.com/southernmethodistuniversity/k8s_date
Last synced: 4 months ago
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A Date with K8s
- Host: GitHub
- URL: https://github.com/southernmethodistuniversity/k8s_date
- Owner: SouthernMethodistUniversity
- License: mit
- Created: 2024-02-14T12:08:46.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-14T14:44:58.000Z (over 2 years ago)
- Last Synced: 2025-03-03T03:13:17.616Z (over 1 year ago)
- Homepage:
- Size: 2.93 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# A Date with K8s: Kubernetes for Research Use Cases
This workshop is an introduction to Kubernetes and some of research workflows
that can be deployed via Kubernetes.
## Material
All the material is sourced directly from the various tools' documentation with
the order and links given at
.
## Agenda
- [Kubernetes Overview](https://kubernetes.io/docs/concepts/overview/)
- [Cluster Architecture](https://kubernetes.io/docs/concepts/architecture/)
- [Containers Overview](https://kubernetes.io/docs/concepts/containers/)
- [Docker Overview](https://docs.docker.com/get-started/overview/)
- [Docker Desktop](https://docs.docker.com/desktop/)
- [Docker Hub](https://hub.docker.com)
- [Containers and HPC](https://southernmethodistuniversity.github.io/hpc_docs/tutorials/containers/containers.html)
- [Pods](https://kubernetes.io/docs/concepts/workloads/pods/)
- [Workloads](https://kubernetes.io/docs/concepts/workloads/controllers/)
- [Tools](https://kubernetes.io/docs/tasks/tools/)
- [kubectl](https://kubernetes.io/docs/reference/kubectl/)
- [minikube](https://minikube.sigs.k8s.io/docs/start/)
- Tutorials
- [Hello Minikube](https://kubernetes.io/docs/tutorials/hello-minikube/)
- [Learn Kubernetes Basics](https://kubernetes.io/docs/tutorials/kubernetes-basics/)
## SMU's Research Kubernetes Cluster
SMU has a dedicated research Kubernetes cluster with two worker nodes. Each node
has:
- Dual AMD EPYC 7513 2.6GHz, 32C/64T, 128M Cache CPUs
- 512 GB DDR4-3200 RAM
- NVIDIA Ampere A30 24GB GPU
Contact us at if you're interested in deploying to this cluster.