Book Image

The DevOps 2.1 Toolkit: Docker Swarm

By : Viktor Farcic
Book Image

The DevOps 2.1 Toolkit: Docker Swarm

By: Viktor Farcic

Overview of this book

Viktor Farcic's latest book, The DevOps 2.1 Toolkit: Docker Swarm, takes you deeper into one of the major subjects of his international best seller, The DevOps 2.0 Toolkit, and shows you how to successfully integrate Docker Swarm into your DevOps toolset. Viktor shares with you his expert knowledge in all aspects of building, testing, deploying, and monitoring services inside Docker Swarm clusters. You'll go through all the tools required for running a cluster. You'll travel through the whole process with clusters running locally on a laptop. Once you're confident with that outcome, Viktor shows you how to translate your experience to different hosting providers like AWS, Azure, and DigitalOcean. Viktor has updated his DevOps 2.0 framework in this book to use the latest and greatest features and techniques introduced in Docker. We'll go through many practices and even more tools. While there will be a lot of theory, this is a hands-on book. You won't be able to complete it by reading it on the metro on your way to work. You'll have to read this book while in front of the computer and get your hands dirty.
Table of Contents (22 chapters)
Title Page
Credits
About the Author
www.PacktPub.com
Customer Feedback
Preface
11
Embracing Destruction: Pets versus Cattle

Chapter 7. Exploring Docker Remote API

You can mass-produce hardware; you cannot mass-produce software - you cannot mass-produce the human mind.                                                                                                                       –Michio Kaku

Up until now, we used Docker through its client. Whenever we needed something, the only thing we had to do is execute a docker command (example: docker service create). In most cases, that is enough when we are limiting ourselves to operating our cluster from a command line.

What happens if we want to accomplish a functionality beyond what the client offers? What if we'd like to operate Docker from inside our applications? Can we get statistics from all the containers running on the whole cluster?

One possible answer to those and quite a few other questions lies in the adoption of tools beyond those offered by Docker Inc. We'll explore quite a few of those in the chapters that follow.

Another approach would be to use Docker...