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The DevOps 2.1 Toolkit: Docker Swarm

You're reading from   The DevOps 2.1 Toolkit: Docker Swarm The next level of building reliable and scalable software unleashed

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781787289703
Length 436 pages
Edition 1st Edition
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Author (1):
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Viktor Farcic Viktor Farcic
Author Profile Icon Viktor Farcic
Viktor Farcic
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Table of Contents (17) Chapters Close

Preface 1. Continuous Integration with Docker Containers FREE CHAPTER 2. Setting Up and Operating a Swarm Cluster 3. Docker Swarm Networking and Reverse Proxy 4. Service Discovery inside a Swarm Cluster 5. Continuous Delivery and Deployment with Docker Containers 6. Automating Continuous Deployment Flow with Jenkins 7. Exploring Docker Remote API 8. Using Docker Stack and Compose YAML Files to Deploy Swarm Services 9. Defining Logging Strategy 10. Collecting Metrics and Monitoring the Cluster 11. Embracing Destruction: Pets versus Cattle 12. Creating and Managing a Docker Swarm Cluster in Amazon Web Services 13. Creating and Managing a Docker Swarm Cluster in DigitalOcean 14. Creating and Managing Stateful Services in a Swarm Cluster 15. Managing Secrets in Docker Swarm Clusters 16. Monitor Your GitHub Repos with Docker and Prometheus

What now?


The ability to use the code to define the steps of a Continuous Deployment flow gives us more flexibility than we had before with Freestyle jobs. Docker Compose allowed us to run any type of tasks without the need to set up any special infrastructure. Anything can run as long as it is inside a container. Finally, Docker Swarm simplified the Deployment to production-like and production environments considerably. We only scratched the surface of using Jenkins Pipeline to automate our Continuous Deployment flow. There are quite a few improvements we could do. For example, we might use the Pipeline Shared Groovy Libraries Plugin (https://wiki.jenkins-ci.org/display/JENKINS/Pipeline+Shared+Groovy+Libraries+Plugin) and move steps, or even whole stages into functions and reduce code repetition. We could also create a Jenkinsfile (https://jenkins.io/doc/book/pipeline/jenkinsfile/) that would move the Pipeline definition from Jenkins into the service repository thus keeping everything related...

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