Deploying Machine Learning Models in the Cloud

For software development, there are many methodologies, patterns, and techniques to build, deploy, and run applications. DevOps is the state of the art methodology that describes a software engineering culture with a holistic view of software development and operation. For data science, there is a lot of information on how machine and deep learning models can be built. The operational aspects seem to still be evolving. I'm currently trying to understand better how to deploy models in the cloud and how to use them efficiently in applications. Below are some of my findings so far.

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This article is related to

cloud,devops,machine learning,rest,artificial intelligence,deep learning,apis,ml models