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You're reading from Learning AWS Design, build, and deploy responsive applications using AWS Cloud components

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781787281066

Length 412 pages

Edition 2nd Edition

Tools

AWS

Concepts

Cloud Computing

Authors (2):

Amit Shah

Aurobindo Sarkar

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Table of Contents (12) Chapters

Preface

1. Cloud 101 – Understanding the Basics FREE CHAPTER

2. Designing Cloud Applications

3. Introducing AWS Components

4. Designing for and Implementing Scalability

5. Designing for and Implementing High Availability

6. Designing for and Implementing Security

7. Deploying to Production and Going Live

8. Designing a Big Data Application

9. Implementing a Big Data Application

10. Deploying a Big Data System

11. Other Books You May Enjoy

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Best practices for distributed machine learning and predictive analytics

Enterprise predictive analytics applications need to be highly scalable and need to support agility in feature development and deployments. There are a plethora of open source tools and solutions available. However, using managed services eliminates infrastructure-related heavy lifting and leads to agility.

Such applications use a variety of supporting AWS services, including the following:

Amazon S3: Store anything (object store), Scalable/Elastic, High durability, effectively infinite inbound bandwidth, extremely low cost, and data layer for virtually all AWS services. Amazon S3 is a great choice for cloud-based data lake because of durability (designed for 11 9s durability), availability (designed for 99.99% availability), high performance (features such as multiple uploads, Range GET), ease of use (supports...

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Authors (2)

Sarkar

Aurobindo Sarkar leads a team of data scientists and engineers at Session AI, developing cloud-based ML models for in-session marketing in e-commerce and retail. As a former CTO at multiple SaaS startups, he has architected secure, scalable, and highly available AWS cloud applications. His research interests now focus on AWS-based large-scale transformer models for NLP and HFT models for the futures and options market. Aurobindo holds a bachelor's degree in engineering from IIT Delhi, a master's in management from the Indian Institute of Science Bangalore, and a master's in computer science from New York University.

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Shah

Snehal Shah has extensive experience in implementing enterprise web applications using J2EE technologies. He is the co-founder of Techforce Infotech where he has worked on various J2EE based solutions, various open source product customizations, and worked on business expansion. He was also involved in building a team and finalizing the technology path for the organization. At his previous employer, CIGNEX Datamatics, he rolled out numerous Alfresco deployments worldwide in the areas of document management, web content management, and Share. He has also worked on application-based Liferay and Moodle products. Prior to CIGNEX, he has worked on various J2EE-based solutions using cutting edge technologies. He has worked with clients in education, legal, and marketing domains across the world. He has worked on defining architecture for various projects, which involves multiple product integrations. In his previous organizations, he was involved in deciding the technology path of the organization and was also involved in various internal technical training. He holds a Bachelors Degree in Computer Engineering from Deemed University, DDIT India. He has also worked as a Technical Reviewer for the books Alfresco 3 Cookbook and Alfresco Share.

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