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Sample applications for the ATMOSPHERE Elastic Kubernetes

Integrated folder

The sample includes a sshserver (05) that exposes a persistent volume (01 and 02). The variables with the access keys are included in a secret K8s object (04) and the service address of the server is registered in a config map (03). The application has different posibilities:

  • A Jupyter notebook as a deployment (06) which mounts the the sshfolder and a deployment with a cluster of workers which also mount the filesystem (07). The integrated version is integrated.yaml.
  • A Jupyter notebook as a front-end of a distributed Tensorflow with a parameter server statefulset (08) and a statefulset of worker nodes (09). The configuration of both statefulsets is defined in a ConfigMap (distribtf_config.yaml). The integrated version is in integrated_gpu_tf3.yaml
  • An MPI cluster that can be run from the Jupyter Notebook. In this case, the hostfile is defined through a configMap. The integrated version is in integratedgpumpi.yaml.

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