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Did you have the two systems talking to each other through HTTP endpoints? I mean the ML system receiving data from a source API and sending back a result? Is this where AWS lambdas jumps in? Are there any formal tools that facilitate making these endpoints?

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Yes. We use aws sam cli [1] to facilitate testing and deployment to AWS's api-gateway + lambdas. It works and even thought the configuration is automatically generated using model metadata. I'm still not too thrilled about this choice. TBD on if this was a good or bad choice.

[1] https://github.com/awslabs/aws-sam-cli

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