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So far, in all of the chapters of this book, we have discussed the essential services that are required for building a Serverless web application. A Serverless architecture can be used for non-web applications as well. A web application can also export data to another platform for analytics, perform activities such as machine learning on the data, and even add a Natural Language Processing (NLP) layer to it. In the next chapter, we will look at some additional services that extend the standard Serverless web application ecosystem. 

For provisioning resources, we used CLI commands and CloudFormation templates. CloudFormation templates are always preferred, but CLI commands can help us to better understand the templates, and are helpful in quick prototyping. We looked at how to use Java Lambdas for writing Serverless functions in the backend. With service interactions, we used CLI commands that we could follow and implement in any supported language.

In Chapter 9, Serverless Architecture Patterns and Practices, we will use most of the services that we have discussed to build a standard web application with a JavaScript frontend.

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