Book Image

Implementing Cloud Design Patterns for AWS - Second Edition

By : Sean Keery, Clive Harber, Marcus Young
Book Image

Implementing Cloud Design Patterns for AWS - Second Edition

By: Sean Keery, Clive Harber, Marcus Young

Overview of this book

Whether you're just getting your feet wet in cloud infrastructure or already creating complex systems, this book will guide you through using the patterns to fit your system needs. Starting with patterns that cover basic processes such as source control and infrastructure-as-code, the book goes on to introduce cloud security practices. You'll then cover patterns of availability and scalability and get acquainted with the ephemeral nature of cloud environments. You'll also explore advanced DevOps patterns in operations and maintenance, before focusing on virtualization patterns such as containerization and serverless computing. In the final leg of your journey, this book will delve into data persistence and visualization patterns. You'll get to grips with architectures for processing static and dynamic data, as well as practices for managing streaming data. By the end of this book, you will be able to design applications that are tolerant of underlying hardware failures, resilient against an unexpected influx of data, and easy to manage and replicate.
Table of Contents (20 chapters)
Title Page
Dedication
About Packt
Contributors
Preface
Free Chapter
1
Introduction to Amazon Web Services
Index

Reduction


The goal of the practices in this chapter revolve around two distinct methods. The first is centered on reducing waste within operational practices. Defect reduction is the second tenet. Through automation and the reduction of manual work, you will have a healthier workplace. We have been focused on applying these principals to the cloud but they apply to your own workspace as well. The separation of code, configuration, and credentials ensures security at scale while allowing rapid prototyping, testing, and deployment.

Local development

While we have the luxury of Cloud9 in AWS, oftentimes you must do your initial unit testing locally. For this we recommend using tools such as Vagrant (https://www.vagrantup.com/), Packer (https://packer.io/), or Docker (https://www.docker.com/). In combination with Terraform, these tools allow you to start small and smoothly expand to Amazon. If you are already running virtualized workloads on premises, there are mechanisms to help you to migrate...