Book Image

Effective DevOps with AWS - Second Edition

By : Yogesh Raheja, Giuseppe Borgese, Nathaniel Felsen
Book Image

Effective DevOps with AWS - Second Edition

By: Yogesh Raheja, Giuseppe Borgese, Nathaniel Felsen

Overview of this book

The DevOps movement has transformed the way modern tech companies work. Amazon Web Services (AWS), which has been at the forefront of the cloud computing revolution, has also been a key contributor to the DevOps movement, creating a huge range of managed services that help you implement DevOps principles. Effective DevOps with AWS, Second Edition will help you to understand how the most successful tech start-ups launch and scale their services on AWS, and will teach you how you can do the same. This book explains how to treat infrastructure as code, meaning you can bring resources online and offline as easily as you control your software. You will also build a continuous integration and continuous deployment pipeline to keep your app up to date. Once you have gotten to grips will all this, we'll move on to how to scale your applications to offer maximum performance to users even when traffic spikes, by using the latest technologies, such as containers. In addition to this, you'll get insights into monitoring and alerting, so you can make sure your users have the best experience when using your service. In the concluding chapters, we'll cover inbuilt AWS tools such as CodeDeploy and CloudFormation, which are used by many AWS administrators to perform DevOps. By the end of this book, you'll have learned how to ensure the security of your platform and data, using the latest and most prominent AWS tools.
Table of Contents (15 chapters)
Title Page
Packt Upsell

Dockerizing our Hello World application

Docker, and containers in general, are very powerful tools, worth exploring. By combining resource isolation features, including union capable filesystem (UCF), Docker allows for the creation of packages called containers, which include everything that is needed to run an application. Containers, like virtual machines, are self-contained, but they virtualize the OS itself,instead of virtualizing the hardware. In practice, this makes a huge difference. As you have probably noticed by now, starting a virtual machine, such as an EC2 instance, takes time. This comes from the fact that in order to start a virtual machine, the hypervisor (that's the name of the technology that creates and runs virtual machines) has to simulate all of the motions involved in starting a physical server, loading an operating system, and going through the different run-levels. In addition, virtual machines have a much larger footprint on the disk and in the memory. With Docker...