Book Image

Extending Docker

By : Russ McKendrick
Book Image

Extending Docker

By: Russ McKendrick

Overview of this book

With Docker, it is possible to get a lot of apps running on the same old servers, making it very easy to package and ship programs. The ability to extend Docker using plugins and load third-party plugins is incredible, and organizations can massively benefit from it. In this book, you will read about what first and third party tools are available to extend the functionality of your existing Docker installation and how to approach your next Docker infrastructure deployment. We will show you how to work with Docker plugins, install it, and cover its lifecycle. We also cover network and volume plugins, and you will find out how to build your own plugin. You’ll discover how to integrate it with Puppet, Ansible, Jenkins, Flocker, Rancher, Packer, and more with third-party plugins. Then, you’ll see how to use Schedulers such as Kubernetes and Amazon ECS. Finally, we’ll delve into security, troubleshooting, and best practices when extending Docker. By the end of this book, you will learn how to extend Docker and customize it based on your business requirements with the help of various tools and plugins.
Table of Contents (15 chapters)

Everyone should be using Docker?


So, is it really that simple, should everyone stop using virtual machines and use containers instead?

In July 2014, Wes Felter, Alexandre Ferreira, Ram Rajamony, and Juan Rubio published an IBM research report titled An Updated Performance Comparison of Virtual Machines and Linux Containers and concluded:

"Both VMs and containers are mature technology that have benefited from a decade of incremental hardware and software optimizations. In general, Docker equals or exceeds KVM performance in every case we tested. Our results show that both KVM and Docker introduce negligible overhead for CPU and memory performance (except in extreme cases). For I/O intensive workloads, both forms of virtualization should be used carefully."

It then goes on to say the following:

"Although containers themselves have almost no overhead, Docker is not without performance gotchas. Docker volumes have noticeably better performance than files stored in AUFS. Docker's NAT also introduces overhead for workloads with high packet rates. These features represent a tradeoff between ease of management and performance and should be considered on a case-by-case basis."

The full 12-page report, which is an interesting comparison to the traditional technologies we have discussed and containers, can be downloaded from the following URL:

http://domino.research.ibm.com/library/cyberdig.nsf/papers/0929052195DD819C85257D2300681E7B/$File/rc25482.pdf

Less than a year after the IBM research report was published, Docker introduced plugins for its ecosystem. One of the best descriptions I came across was from a Docker software engineer, Jessica Frazelle, who described the release as having batteries included, but replaceable, meaning that the core functionality can be easily replaced with third-party tools that can then be used to address the conclusions of the IBM research report.

At the time of writing this book, Docker currently supports volume and network driver plugins. Additional plugin types to expose more of the Docker core to third parties will be added in the future.