You're reading from Implementing Cloud Design Patterns for AWS Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud

Product type Paperback

Published in Apr 2015

Last Updated in Feb 2025

Publisher

ISBN-13 9781782177340

Length 228 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Author (1):

Young

View More author details

Table of Contents (13) Chapters

Preface

1. Introduction FREE CHAPTER

2. Basic Patterns

3. Patterns for High Availability

4. Patterns for Processing Static Data

5. Patterns for Processing Dynamic Data

6. Patterns for Uploading Data

7. Patterns for Databases

8. Patterns for Data Processing

9. Patterns for Operation and Maintenance

10. Patterns for Networking

11. Throw-away Environments

Index

Chapter 2. Basic Patterns

The first patterns we will learn are considered to be the most rudimentary patterns for Cloud infrastructure. Many patterns throughout this book will be very heavily tied to AWS-specific services while the patterns here can be applied in many other Cloud virtualization infrastructures that have similar capabilities. In this chapter we will cover the following topics:

Snapshot pattern
Stamp pattern
Scale up pattern
Scale out pattern
On-demand disk pattern

For this chapter, I will use the Amazon provided and supported Amazon Machine Image (AMI) titled Amazon Linux AMI. The base AMI that you choose or the machine type to launch the AMI is not important for this chapter, as long as it is a Linux image. Images based on Windows have some inconsistencies and require special steps to be taken to create reusable images and snapshots. While following along, if you decide to use an alternate image, the code snippets may not work as expected.