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Revisiting Cloud Deployment #22

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@acannistra acannistra commented Apr 9, 2020

This is an effort to streamline the opportunities we present for others to use this software.

In particular, we hope to

  • provide a Docker container that someone can use for pre-processing data in preparation for model training.

Some parts of this should be relatively straightforward, including a Jupyter Lab instance with the appropriate environment.

Others that are more complicated include:

  • Re-structuring the repository to contain all "deployment-relevant" files and code in one directory (./deployment). This involves moving the Sagemaker Dockerfile and all relevant infrastructure (including Travis build instructions) around and updating paths.
  • Rethinking the terraform deployment that we use to add all of this infrastructure to an individual's AWS account (this has needed revisiting for a while).

@acannistra acannistra marked this pull request as draft April 9, 2020 17:07
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(travis will fail until we update paths in master)

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