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Rust for the iot, Nusairat, Joseph Faisal


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Автор: Nusairat, Joseph Faisal
Название:  Rust for the iot
ISBN: 9781484258590
Издательство: Springer
Классификация:


ISBN-10: 1484258592
Обложка/Формат: Paperback
Страницы: 595
Вес: 1.05 кг.
Дата издания: 27.09.2020
Язык: English
Издание: 1st ed.
Иллюстрации: 73 illustrations, color; 9 illustrations, black and white; xx, 595 p. 82 illus., 73 illus. in color.
Размер: 25.40 x 17.78 x 3.15 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Building internet of things apps with rust and raspberry pi
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:
  1. Introduction, covers what this book is going to solve, we tackle the issues and problems surrounding IoT applications and their architecture. We also go over the hardware that is needed for this book and the chapter ends with some simple Rust examples.
  2. Server Side, starts with setting up and creating our first microservice the retrieval_svc, this will set up simple calls to it and integrate and set up the database for it.
  3. File Uploading and Parsing, this chapter is more heavily focused on the upload_svc and in here we learn how to upload images and video files to store locally. We then parse the metadata out of the files and call the retrieval_svc to store their metadata.
  4. Messaging and GraphQL, back to the retrieval_svc we add GraphQL to use on top of the web tier instead of pure RESTful endpoints. We also create the mqtt_service that will serve as our bridge to communicate between the backend and the Pi using MQTT.
  5. Performance, enhancing both the retrieval_svc and the mqtt_service by instead having the communication between the two be REST calls, instead they will use serialized binary data via Capn Proto to talk. Also on the retrieval_svc side we add CQRS and eventual consistency to our graph mutations for comments.
  6. Security, this adds using Auth0 to authenticate the user so that our database can identify a device to a user. We also add self signed certificates to secure the communication of the MQTT.
  7. Deployment, this chapter we learn how to create Docker images of all our microservices, combining them with Kubernetes and deploying to a cloud provider with Helm charts.
  8. Sense HAT, our first hands on chapter with the Raspberry Pi we will set up the heartbeat to communicate to the MQTT backend we created earlier.
  9. Sense HAT, this incorporates the Sense HAT device to gather data about our environment to the Pi. The SenseHat provides us a visual LED display, temperature sensors, and a joystick for interactions.
  10. Camera, this chapter we add a camera to the device which will allow us to do facial tracking and recording.
  11. Integration, one of the last chapters we incorporate the video camera to send data back to the cloud as well as allowing the Pi to receive recording commands from the cloud and finally we allow the Pi to be used as a HomeKit device to show temperature and motion.
  12. Final Thoughts, this final short chapter discusses how we would build an ISO image for our given application and other bundling issues.




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