• Complain

Indraneel Mitra - Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

Here you can read online Indraneel Mitra - Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2022, publisher: Packt Publishing, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Indraneel Mitra Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
  • Book:
    Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
  • Author:
  • Publisher:
    Packt Publishing
  • Genre:
  • Year:
    2022
  • Rating:
    4 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 80
    • 1
    • 2
    • 3
    • 4
    • 5

Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker

Key Features
  • Accelerate your next edge-focused product development with the power of AWS IoT Greengrass
  • Develop proficiency in architecting resilient solutions for the edge with proven best practices
  • Harness the power of analytics and machine learning for solving cyber-physical problems
Book Description

The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs.

This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. Youll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, youll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance.

By the end of this IoT book, youll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting.

What you will learn
  • Build an end-to-end IoT solution from the edge to the cloud
  • Design and deploy multi-faceted intelligent solutions on the edge
  • Process data at the edge through analytics and ML
  • Package and optimize models for the edge using Amazon SageMaker
  • Implement MLOps and DevOps for operating an edge-based solution
  • Onboard and manage fleets of edge devices at scale
  • Review edge-based workloads against industry best practices
Who this book is for

This book is for IoT architects and software engineers responsible for delivering analytical and machine learningbacked software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.

Table of Contents
  1. Introduction to the Data-Driven Edge with Machine Learning
  2. Foundations of Edge Workloads
  3. Building the Edge
  4. Extending the Cloud to the Edge
  5. Ingesting and Streaming Data from the Edge
  6. Processing and Consuming Data on the Cloud
  7. Machine Learning Workloads at the Edge
  8. DevOps and MLOps for the Edge
  9. Fleet Management at Scale
  10. Reviewing the Solution with AWS Well-Architected Framework

Indraneel Mitra: author's other books


Who wrote Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass? Find out the surname, the name of the author of the book and a list of all author's works by series.

Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Intelligent Workloads at the Edge Deliver cyber-physical outcomes with data and - photo 1
Intelligent Workloads at the Edge

Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

Indraneel Mitra

Ryan Burke

BIRMINGHAMMUMBAI Intelligent Workloads at the Edge Copyright 2022 Packt - photo 2

BIRMINGHAMMUMBAI

Intelligent Workloads at the Edge

Copyright 2022 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Publishing Product Manager: Reshma Raman

Senior Editor: Roshan Kumar

Content Development Editor: Tazeen Shaikh

Technical Editor: Rahul Limbachiya

Copy Editor: Safis Editing

Project Coordinator: Aparna Ravikumar Nair

Proofreader: Safis Editing

Indexer: Sejal Dsilva

Production Designer: Shyam Sundar Korumilli

Marketing Coordinator: Nimisha Dua

First published: January 2022

Production reference: 1101221

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80181-178-1

www.packt.com

To Guruji and the Almighty for bestowing immense blessings and grace on my life. To my mom and dad for all their love, support, and sacrifices and for making me the person I am today. To my wife, for her continued support of my dreams and for being my loving partner throughout our life journey. To my children, Ivan and Aayan, for bringing enormous joy, determination, and enthusiasm to my life. And to my in-laws for the immense support they have given to my family.

To my teachers, especially Ashok Mitra, Utpal Basu, and Gautam Mahapatra, for giving direction to my life. To my peers turned lifelong friends who have believed in me and stood by my crazy ideas over the test of time Sudip Dasgupta, Rudra Bhattacharjee, Amit Mukherjee, and Harish Rajagopalan.

I also want to share my heartfelt thanks to the AWS IoT and Automotive Technical Field community, along with the incredible leaders who have mentored me over the years: Olawale Oladehin, Gavin Adams, Dean Phillips, Nisarg Modi, Kanwal Duggal, and Brett Francis.

I also want to express my sincere gratitude to James Gosling and coauthor Ryan Burke for making this book a reality. And finally, to the technical reviewers and collaborators Gavin Adams, Ashok Rao, and Amit Mukherjee for their ideas and feedback to help refine and polish the content of this book.

Indraneel (Neel) Mitra

To my wife, Nicole, for supporting me while taking on a book project in addition to working full time. To my friends and family for their support during this time. And special thanks to the AWS IoT Technical Field community and the leaders in my career at Amazon who have helped me to grow: Rahul Sareen, Olawale Oladehin, Glenn Dasmalchi, Sarah Cooper, Vadim Jelezniakov, Shyam Krishnamoorthy, and Kyle Roche.

Ryan Burke

Contributors
About the authors

Indraneel Mitra is a Principal Solutions Architect for IoT at Amazon Web Services. He has 17+ years of IT consulting and architecting experience with start-ups and Fortune 500 customers across different industry verticals. He has spoken at different events, including AWS re:Invent, AWS Summits, AWS Webinar and Twitch shows, the RSA cybersecurity conference, the Emerging Technologies for Enterprise (ETE) conference, and local meetups on different topics for many years as a seasoned public speaker. Neel is also the co-author and trainer of the popular IoT course, AWS IoT: Developing and Deploying an Internet of Things, available on Coursera and edX. He holds an M.S. in software engineering from BITS Pilani, India.

Ryan Burke is a Senior Sustainability Application Architect at Amazon Web Services, formerly the Worldwide Technical Leader for IoT. He has worked in information technology since 2006, developing web services, user experiences, and architecting IoT solutions. He has spoken to audiences on IoT topics at events including AWS re:Invent, SxSW, TDWI, and local meetup communities. He holds a B.S. in computer science from the Georgia Institute of Technology, and served 6 years as a communications officer in the U.S. Air Force Reserves. In his free time, Ryan enjoys yoga, coffee snobbery, games of all kinds, and annoying his family with a new smart home project.

About the reviewers

Ashok Rao is an IoT specialist solutions architect at AWS. He has a master's degree in electronics engineering and has been working with many global customers in the embedded systems and IoT domains for the past 10+ years. Ashok has helped design, develop, and deploy many solutions and advise companies as they navigate the challenges of moving IoT projects from concept to production. He also has experience working with microcontroller devices, RTOSes, and firmware development for various devices in the consumer electronics domain. This gives him a rare mix of knowledge both in the device/hardware layer and cloud computing spaces.

I would like to thank my parents and son, Abhay Rao, for the opportunity to contribute to this book.

Gavin Adams is a Principal Solutions Architect with Amazon Web Services, specializing in helping customers deploy IoT solutions. Prior to his current role at AWS, Gavin began his technology career supporting nuclear energy testing missions in the Nevada desert. Since then, he has been involved in other aspects of information technology, including software development, security, system automation, system architecture, and design, and since 2012, he has focused primarily on cloud-native solutions for customers. He now focuses on the delivery of edge compute solutions, putting him back in the physical world with hands-on systems leveraging cloud capabilities, and sometimes, even back in those same arid landscapes.

Table of Contents
Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass»

Look at similar books to Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass»

Discussion, reviews of the book Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.