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Containerized ML microservices

Containerized ML microservices - Google Cloud Platform教程

课程: Google Cloud Professional Machine Learning Engineer Cert Prep

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Containerized ML microservices

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Here is a containerized machine learning microservices idea. And first we have Linux and Bash. In this particular example, we could be interacting with Linux and Bash with a command line tool. We could be using containers with Linux and Bash. We also could be using a cloud based environment. These could include AWS Cloud9 or for example, GitHub Codespaces. And this is where I would build out my container. Now when I was ready to deploy, I could hook up into the microservice framework for the cloud provider. These are provided via container registries where I would register my container and then I would do a continuous delivery process that would deploy to one of the cloud platforms continuous delivery Platform as a Service offerings. And here's a good example, AWS App Runner is a microservice friendly framework that allows you to take a container and push it out automatically, either through a build system like AWS Codebuild or…

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