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Learning AWS

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):

Sarkar

Shah

View More author details

Table of Contents (16) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Cloud 101 – Understanding the Basics

2. Designing Cloud Applications FREE CHAPTER

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

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Index

Event handling at scale

For real-time streaming applications, supporting hundreds of thousands of concurrent users in a reliable, secure, and auditable manner that is also cost effective requires different design considerations and additional AWS services to be implemented in a scalable manner. In such applications, you may need to plan for growth from one thousand events currently to a future of 15 million events per second. In the following sections, we will explore typical AWS services used for implementing a large-scale API-based architecture and analyzing streaming data in real time with Amazon Kinesis Analytics.

Implementing a large-scale API-based architecture with AWS services

In the upcoming sections, we will consider AWS services that can be leveraged for implementing a large-scale API-based architecture. These services include Amazon API Gateway, AWS Lambda, Amazon S3, Elasticsearch, RDS, DynamoDB, CloudWatch, and others. As we have covered services such as Amazon S3, RDS, and DynamoDB...

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Authors (2)

Sarkar

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.

See other products by Sarkar

Shah

Shah

Amit Shah has a bachelor's degree in electronics. He is a director at Global Eagle. He has been programming since the early '80s, the first wave of personal computinginitially as a hobbyist and then as a professional. His areas of interest include embedded systems, IoT, analog, and digital hardware design, systems programming, cloud computing, and enterprise architecture. He has been working extensively in the fields of cloud computing and enterprise architecture for the past 7 years.

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