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

What does standalone Docker Swarm look like with service discovery?


Now that we have a better understanding of the requirements and the reasons behind the usage of service discovery, we can define the (real) flow of a request to a Docker Swarm manager.

Please note that we are still exploring how the old (standalone) Swarm is working:

  1. A user sends a request with the desired state to one of the Swarm managers.
  2. The Swarm manager gets the cluster information from the service registry, creates a set of tasks, and dispatches them to Swarm workers.
  3. Swarm workers translate the tasks into commands and send them to the local Docker Engine which, in turn, runs or stops containers.
  4. Swarm workers continuously monitor Docker events and update the service registry.

That way, information about the whole cluster is always up-to-date. The exception is when one of the managers or workers fails. Since managers are monitoring each other, the failure of a manager or a worker is considered a failure of the whole node...