Deploying a test application with AWS CDK

CDK is quite mature when it comes to CLIs, its support for general-purpose programming languages, and its rich construct libraries, which provide reusable patterns for easy adoption.

So far in this book, we have mostly worked with Amazon Machine Images (AMI) and used them to deploy application code that was either baked into the image itself or deployed at runtime using services such as AWS CodeDeploy. In this chapter, we will use a different test application for demonstrating CDK capabilities – automatic image recognition and labeling. We will use the Amazon Rekognition service, which allows users to add image and video analysis capabilities to their applications. You can provide an image to the service and it can identify objects, people, text, and scenes. This is a very good example of how end users can leverage AWS services to build innovative applications, without having to develop a deep understanding of machine learning. The...