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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

Setting up for production

This is it! The final section in which AWS will be configured to host the application for production deployment. The key issues in production setup are the health monitoring of the application, disaster recovery (both for data and infrastructure), and a secure production environment (with reasonable ongoing costs).

AWS production deployment architecture

For the first step, we need to design the deployment architecture. You can architect AWS in several different ways to meet your business requirements. The deployment architecture presented here takes into consideration security practices, and is specifically designed for scalability and high availability. In addition, it is an extension to the one presented for HA in Chapter 5, Designing for and Implementing High Availability.

Let's re-examine the choices we made for the selection and configuration of AWS resources. The choices for regions, availability zones, ELB, ASG, RDS, and S3 have already been covered in chapters...

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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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