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

Developer productivity


In the previous chapter, we saw the power of cloud computing in our continuous delivery processes. Short-lived containers and functions provided on-demand computing for our build and test phases. By applying these principles to all aspects of our product, we can deliver a secure, globally available product at minimal cost.  

 

 

Our Cloud9 workspace has given us a complete web-based development environment. Let's look at the benefits of enabling the session to be shared between developers: 

  • The ability to remotely pair with another developer helps us move our traditional quality assurance practices to the beginning of the development cycle. 
  • Catching bugs before they get into running software reduces our cost sixfold. 
  • Our integrations with CodeBuild and Lambda add a level of consistency to the construction of our artifacts.
  • Component reuse practices will help us avoid downstream software incompatibilities. 

The base Ubuntu container we used for our plan can be also be reused...