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Sagemaker example of "deploy your own model" #2585
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Hi @jckuester Just let us know when it's ready for review and we can take a look. |
Hi @radeksimko Actually, the first PR of the series is now ready to review (#2478). I am looking fwd to your feedback :) |
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Hey @jckuester 👋 Thanks for submitting this -- since we merged a bunch of the required resources here with changes, this PR is showing conflicts with pretty much every previous file and requires a rebase. If you are interested in submitting this, please re-submit it with only the last commit against master so it can get reviewed. Thanks again. |
I'm going to lock this issue because it has been closed for 30 days ⏳. This helps our maintainers find and focus on the active issues. If you feel this issue should be reopened, we encourage creating a new issue linking back to this one for added context. Thanks! |
Please review only the last commit of this PR, which contains the example itself (the other commits are from rebasing the referenced PRs below, which contain the new SageMaker resources).
This example shows how to use the three new SageMaker resources
resource_aws_sagemaker_model
(New Resource: aws_sagemaker_model #2478),resource_aws_sagemaker_endpoint_configuration
(New Resource: aws_sagemaker_endpoint_configuration #2477), andresource_aws_sagemaker_endpoint
(New Resource: aws_sagemaker_endpoint #2479)to deploy your own model algorithm container.
This PR can only be merged once the referenced PRs above are merged, as this example depends on the three new resources.