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# Resources and Links | ||
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## Large Clusters and Scaling | ||
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- [Scaling Kubernetes to 2,500 Nodes](https://openai.com/blog/scaling-kubernetes-to-2500-nodes/) - | ||
A blog post from the OpenAI team on some of the issues and best practices | ||
associated with running large scale Kubernetes clusters. | ||
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## Software, Frameworks and Collections | ||
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### Software | ||
- [Volcano](https://volcano.sh) - A Kubernetes native batch scheduler. Adds | ||
support for MPI, fair-share, queues and more. | ||
- [Kubeflow](https://www.kubeflow.org/) - Tightly integrated collection of | ||
_"best of breed"_ software for Machine learning. | ||
- [Zero to JupterHub](https://zero-to-jupyterhub.readthedocs.io/en/latest/) - | ||
Helm Chart for Jupyterhub maintained by upstream Jupyterhub community. | ||
- [Armada](https://github.com/G-Research/armada) - A multi-cluster batch scheduler for high-throughput workloads on Kubernetes | ||
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### Frameworks | ||
- [Hierarchical Namespace Controller](https://github.com/kubernetes-sigs/multi-tenancy/tree/master/incubator/hnc) - | ||
Kubernetes Multi tenancy Working Group project to provide "nested" namespaces, | ||
and propagate RBAC policies, secrets etc. | ||
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### Research Institution Collections | ||
- [CERN Helm Chart Collection](https://gitlab.cern.ch/helm/charts/cern) - | ||
Includes: JupyterHub, eosxd, jupyterhub, kube-monkey, ntpd, prometheus, squid | ||
and sssd. (2019-11-3) | ||
- [PNNL Misc(ellaneous) Scripts (Helm and others)](https://github.com/pnnl-miscscripts/miscscripts) |