From 41359ed3ed7f6432a05c9ca79d845163cc7ff0ec Mon Sep 17 00:00:00 2001 From: Julien Stroheker Date: Mon, 14 May 2018 12:54:16 -0400 Subject: [PATCH] add training MNIST using Kubeflow, S3, and Argo link --- 10-going-further/README.md | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/10-going-further/README.md b/10-going-further/README.md index 1d110d7..6ee2b64 100644 --- a/10-going-further/README.md +++ b/10-going-further/README.md @@ -26,7 +26,8 @@ Such a file system can be deployed inside your Kubernetes cluster, and can use t Here are some tools and frameworks that can make it easy to deploy such a distributed file system on Kubernetes: * [GlusterFS](http://www.gluster.org/) -* [Rook](https://rook.io/) +* [Rook.io](https://rook.io/) +* [Minio](https://www.minio.io) * [Portworks](https://portworx.com/) * [Pachyderm](http://pachyderm.io/) @@ -41,3 +42,13 @@ As of this writing, autoscaling is only supported on Kubernetes cluster created See the following resources to get started: * [Kubernetes Azure cluster-autoscaler](https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler/cloudprovider/azure) + +## More resources + +### Training MNIST using Kubeflow, S3, and Argo. + +[https://github.com/kubeflow/examples/tree/master/mnist](https://github.com/kubeflow/examples/tree/master/mnist) + +If you want to experiment running a distributed MNIST on a distributed storage using Minio with Kubeflow, you can [check this example](https://github.com/kubeflow/examples/tree/master/mnist) from the official Kubeflow/Examples repository. + +This example will also introduce you to a workflow tool named : [argo](https://github.com/argoproj/argo). It is very useful when you want to automatically prepare data, train, serve and monitor using only one command. \ No newline at end of file