Create a web application to track DynamoDB data

The following code examples show how to create a web application that tracks work items in an Amazon DynamoDB table and uses Amazon Simple Email Service (Amazon SES) to send reports.

.NET

AWS SDK for .NET

Shows how to use the Amazon DynamoDB .NET API to create a dynamic web application that tracks DynamoDB work data.

For complete source code and instructions on how to set up and run, see the full example on GitHub.

Services used in this example

• DynamoDB

• Amazon SES

Java

SDK for Java 2.x

Shows how to use the Amazon DynamoDB API to create a dynamic web application that tracks DynamoDB work data.

For complete source code and instructions on how to set up and run, see the full example on GitHub.

Services used in this example

• DynamoDB

• Amazon SES

JavaScript

SDK for JavaScript (v3)

Shows how to use the Amazon DynamoDB API to create a dynamic web application that tracks DynamoDB work data.

For complete source code and instructions on how to set up and run, see the full example on GitHub.

Services used in this example

• DynamoDB

• Amazon SES

Kotlin

SDK for Kotlin

Shows how to use the Amazon DynamoDB API to create a dynamic web application that tracks DynamoDB work data.

For complete source code and instructions on how to set up and run, see the full example on GitHub.

Services used in this example

• DynamoDB

• Amazon SES

Python

SDK for Python (Boto3)

Shows how to use the AWS SDK for Python (Boto3) to create a REST service that tracks work items in Amazon DynamoDB and emails reports by using Amazon Simple Email Service (Amazon SES). This example uses the Flask web framework to handle HTTP routing and integrates with a React webpage to present a fully functional web application.

• Build a Flask REST service that integrates with AWS services.

• Read, write, and update work items that are stored in a DynamoDB table.

• Use Amazon SES to send email reports of work items.

For complete source code and instructions on how to set up and run, see the full example in the AWS Code Examples Repository on GitHub.

Services used in this example

• DynamoDB

• Amazon SES