Название: Beginning Azure IoT Edge Computing: Extending the Cloud to the Intelligent Edge
Автор: David Jensen
Издательство: Apress
ISBN: 1484245350
Год: 2019
Страниц: 273
Язык: английский
Формат: pdf (true), epub
Размер: 18.5 MB

Use a step-by-step process to create and deploy your first Azure IoT Edge solution.
Modern day developers and architects in today’s cloud-focused world must understand when it makes sense to leverage the cloud. Computing on the edge is a new paradigm for most people. The Azure IoT Edge platform uses many existing technologies that may be familiar to developers, but understanding how to leverage those technologies in an edge computing scenario can be challenging.
Beginning Azure IoT Edge Computing demystifies computing on the edge and explains, through concrete examples and exercises, how and when to leverage the power of intelligent edge computing. It introduces the possibilities of intelligent edge computing using the Azure IoT Edge platform, and guides you through hands-on exercises to make edge computing approachable, understandable, and highly useful.
Through user-friendlydiscussion you will not only understand how to build edge solutions, but also when to build them. By explaining some common solution patterns, the decision on when to use the cloud and when to avoid the cloud will become much clearer.

What You`ll Learn:
Create and deploy Azure IoT Edge solutions
Recognize when to leverage the intelligent edge pattern and when to avoid it
Leverage the available developer tooling to develop and debug IoT Edge solutions
Know which off-the-shelf edge computing modules are available
Become familiar with some of the lesser-known device protocols used in conjunction with edge computing
Understand how to securely deploy and bootstrap an IoT Edge device
Explore related topics such as containers and secure device provisioning

Who This Book Is For:
Developers or architects who want to understand edge computing and when and where to use it. Readers should be familiar with C# or Python and have a high-level understanding of the Azure IoT platform.