Hands-On APIs for AI and Data Science

Chapter 6. Deploying Your API to the Cloud

A Note for Early Release Readers

With Early Release ebooks, you get books in their earliest form—the author’s raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles.

This will be the 6th chapter of the final book. The GitHub repo for this book is https://github.com/handsonapibook/apibook-part-one.

If you have comments about how we might improve the content and/or examples in this book, or if you notice missing material within this chapter, please reach out to the editor at [e-mail].

It sounds a little extreme, but in this day and age, if your work isn’t online, it doesn’t exist.

Austin KleonShow Your Work!: 10 Ways to Share Your Creativity and Get Discovered, Workman, 2014

You have made great progress with your first API. You have selected the most important qualities for your users, developed multiple API endpoints, and created user-friendly documentation. In this chapter, you will publish your API to the cloud where consumers can access it. This is another chance to share what you have been working on.

Benefits and Responsibilities of Cloud Deployment

The cloud is an informal term to refer to the collection of computer servers and connecting infrastructure that make the public internet. As a developer or data scientist, the availability of public cloud hosts are a great method of deploying prototypes and personal projects. Before these ...