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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 Auto Scaling

This section introduces you to dynamic scaling for your deployed application. As explained, the application will scale out; more EC2 instances will be added or scaled in. That is, the running of EC2 instances will be removed, based on some measurable metric. We will select the metric from a defined set and apply rules so that our Auto Scaling can scale in or out based on these rules.

AWS Auto Scaling construction

To implement AWS Auto Scaling, we will create an Elastic Load Balancer (ELB), a base AMI which will be an EC2 instance running our e-commerce application, a launch configuration (the base AMI to launch in an EC2 instance), CloudWatch alarms to add/remove instances that apply to an Auto Scaling group, and finally an Auto Scaling group.

We will perform the steps in the following sections to implement auto scaling for our sample application.

Creating an AMI

An Amazon Machine Image (AMI) is a master image used for creating virtual servers on the Amazon cloud. An AMI...

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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.

See other products by Shah

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