Rust for the IoT: Building Internet of Things Apps with Rust and Raspberry Pi - Softcover

Über die Autorin bzw. den Autor

Joseph Faisal Nusairat is a a senior partner at Integrallis Software and is a software developer who has been working full-time in the Columbus, Ohio, area since 1998, primarily focused on Java and most recently Rust application development. His career has taken him into a variety of Fortune 500 industries, including military applications, data centers, banking, Internet security, pharmaceuticals, and insurance. Throughout this experience, he has worked on all varieties of application development from design to architecture to development. Joseph, like most Java developers, is particularly fond of open source projects and tries to use as much open source software as possible when working with clients. Joseph is a graduate of Ohio University with dual degrees in computer science and microbiology and a minor in chemistry. While at Ohio University, Joseph also dabbled in student politics and was a research assistant in the virology labs.

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Get started programming Rust applications for the Internet of Things (IoT). This book is a programming skills migration book that teaches you the Rust programming techniques most useful for IoT applications. You'll step through from server to board development in creating a set of IoT applications.

 

In Rust for the IoT, you'll learn how to build a modern server side application using Rust on the backend. Then you'll use docker and Kubernetes to deploy these to a managed cloud. Finally you will use a Raspberry Pi with a SenseHat and Camera to capture the world around you and send that information to the cloud.

 

While you will be able to follow along without any cloud or hardware, to make the most of it we recommend a few cloud pieces and hardware that is designed to integrate with the software in this book. After reading and using this book, you'll see how to apply Rust to the Internet of Things.  

 

You will:

• Create a modern Rust backend complete with handling eventual consistency and interacting via a GraphQL interface
• Use the Raspberry PI to serve as a cheap IoT device that one can easily deploy around the house
• Capture temperature, video, and use the interactive joystick to interact with the software you ve created
• Use OpenCV to perform facial detection from the PI s camera and save that information to the cloud.
• Create deployable helm charts for the cloud, and for the device create complete ISOs that allow you to easily deploy the Pi s OS + custom software