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Rust for the IoTbuilding Internet of...
~
Nusairat, Joseph Faisal.
Rust for the IoTbuilding Internet of Things apps with Rust and Raspberry Pi /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Rust for the IoTby Joseph Faisal Nusairat.
其他題名:
building Internet of Things apps with Rust and Raspberry Pi /
作者:
Nusairat, Joseph Faisal.
出版者:
Berkeley, CA :Apress :2020.
面頁冊數:
xx, 595 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Rust (Computer program language)
電子資源:
https://doi.org/10.1007/978-1-4842-5860-6
ISBN:
9781484258606$q(electronic bk.)
Rust for the IoTbuilding Internet of Things apps with Rust and Raspberry Pi /
Nusairat, Joseph Faisal.
Rust for the IoT
building Internet of Things apps with Rust and Raspberry Pi /[electronic resource] :by Joseph Faisal Nusairat. - Berkeley, CA :Apress :2020. - xx, 595 p. :ill., digital ;24 cm.
1: Introduction -- 2: Server Side -- 3: File Uploading and Parsing -- 4: Messaging and GraphQL -- 5: Performance -- 6: Security -- 7: Deployment -- 8: Sense HAT Part I -- 9: Sense HAT Part II -- 10: Camera -- 11: Integration -- 12: Final Thoughts.
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.
ISBN: 9781484258606$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-5860-6doiSubjects--Topical Terms:
863158
Rust (Computer program language)
LC Class. No.: QA76.73.R87 / N87 2020
Dewey Class. No.: 005.13
Rust for the IoTbuilding Internet of Things apps with Rust and Raspberry Pi /
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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.
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