Automated Machine Learning on AWS

Chapter 5: Continuous Deployment of a Production ML Model

In Chapter 4, Continuous Integration and Continuous Delivery (CI/CD) for Machine Learning, we were introduced to the concept of continuous integration, and continuous deployment, as a means of bridging the gap between ML model development and ML model deployment. We were also introduced to the AWS CDK, as a way to further close this gap, by bringing the different artifacts that software engineers and ML practitioners develop into a single cloud-native application. Thus, allowing us to codify a CI/CD pipeline that automates the entirety of the ML process. Closing this gap, and helping to facilitate this inter-team synergy, is one of the core design philosophies behind why AWS originally ...