Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda by Enabling SnapStart (Part 2)

This is the second article to teach developers how to make serverless Java for dynamic data processing with a NoSQL database. In the previous article, you learned how to design an entity class and implement abstract services to bind the DynamoDB client for the REST APIs locally. In case, you haven’t already read it, find the first tutorial here. You can also find the piggybank project in the GitHub repository.

Let’s go into the outer loop practices in production using AWS Lambda and DynamoDB.

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