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

Jenkins failover


Let's stop the service and observe Swarm in action. To do that, we need to find out the node it is running in, point our Docker client to it, and remove the container:

NODE=$(docker service ps \
    -f desired-state=running jenkins \
    | tail -n +2 | awk '{print $4}')

eval $(docker-machine env $NODE)

docker rm -f $(docker ps -qa \
    -f label=com.docker.swarm.service.name=jenkins)

 

We listed Jenkins processes and applied the filter that will return only the one with the desired state running docker service ps -f desired-state=running jenkins. The output was piped to the tail command that removed the header tail -n +2 and, later on, piped again to the awk command that limited the output to the fourth column awk '{print $4}' that contains the node the process is running in. The final result was stored in the NODE variable.

Later on, we used the eval command to create environment variables that will be used by our Docker client to operate the remote engine. Finally, we retrieved...