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Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda by Rustem Feyzkhanov

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Introduction to the serverless framework

In the previous sections, we learned about the different ways to deploy the Lambda function.  Although the Lambda package is just ZIP files with libraries and codes, there are ways to deploy them as mentioned below. A production usage deployment needs to have the following features:

  • First of all, the serverless framework should have a single configuration file where we can set all the options and parameters of deployment. This will allow us to save time while writing long scripts for starting each service separately and it will enable us to keep versions of our environment.
  • It should be able to create and attach other AWS services to add to a Lambda. Since most use cases involve a Lambda working as ...

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