Building a Machine Learning Orchestration Platform: Part 1

The beauty of this is that all of the above complexity is buried and can be maintained and updated by the Platform Team, whereas the consumers of the module don't need to worry about any of these things, and only need to be aware of high level concerns such as where does the code lives, what is the model name, and what environment should this run on. How and when the actual infrastructure is provisioned will depend on what kind of Terraform flow is implemented in your organisation. As with the model GitHub template repository, we have also created a slimmed down version of our Terraform module. It is available in our public GitHub profile as well, under the name terraform-aws-ml-model. With these two GirHub repositories, a fully working solution should be deployable to AWS out of the box.