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Beginning Azure IoT Edge computingex...

Jensen, David.

Beginning Azure IoT Edge computingextending the cloud to the intelligent edge /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Beginning Azure IoT Edge computingby David Jensen.
Reminder of title:	extending the cloud to the intelligent edge /
Author:	Jensen, David.
Published:	Berkeley, CA :Apress :2019.
Description:	xix, 265 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Cloud computing.
Online resource:	https://doi.org/10.1007/978-1-4842-4536-1
ISBN:	9781484245361$q(electronic bk.)

Beginning Azure IoT Edge computingextending the cloud to the intelligent edge /
Jensen, David.

Beginning Azure IoT Edge computingextending the cloud to the intelligent edge /[electronic resource] :by David Jensen. - Berkeley, CA :Apress :2019. - xix, 265 p. :ill., digital ;24 cm.

Chapter 1: Do I need an intelligent edge? -- Chapter 2: Azure IoT Edge Core Concepts -- Chapter 3: Azure IoT Edge Development Environment -- Chapter 4: Hello Edge -- Chapter 5: Developing and Debugging Edge Modules -- Chapter 6: Analytics on the Edge -- Chapter 7: Device Provisioning Service -- Chapter 8: Azure IoT Edge Security -- Chapter 9: Azure DevOps for IoT Edge Solutions.

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-friendly discussion 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 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. David Jensen is an IoT architect with over 20 years of experience. He has spent more than six years designing, building, and deploying IoT solutions based on the Microsoft Azure Cloud platform, which started before it was released. He is passionate about building software solutions that interact with the real world, and fascinated by the devices that surround us and how we can leverage them to instrument our environment to build connected ecosystems.

ISBN: 9781484245361$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-4536-1doi

Source: nam a2200325 a 4500Subjects--Uniform Titles:

Microsoft Edge.
Subjects--Topical Terms:

378527
Cloud computing.

LC Class. No.: QA76.585

Dewey Class. No.: 004.6782

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505 0 $a Chapter 1: Do I need an intelligent edge? -- Chapter 2: Azure IoT Edge Core Concepts -- Chapter 3: Azure IoT Edge Development Environment -- Chapter 4: Hello Edge -- Chapter 5: Developing and Debugging Edge Modules -- Chapter 6: Analytics on the Edge -- Chapter 7: Device Provisioning Service -- Chapter 8: Azure IoT Edge Security -- Chapter 9: Azure DevOps for IoT Edge Solutions.
520 $a 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-friendly discussion 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 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. David Jensen is an IoT architect with over 20 years of experience. He has spent more than six years designing, building, and deploying IoT solutions based on the Microsoft Azure Cloud platform, which started before it was released. He is passionate about building software solutions that interact with the real world, and fascinated by the devices that surround us and how we can leverage them to instrument our environment to build connected ecosystems.
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