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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
Tools
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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 would Docker Swarm look like without?


Let's say we have a cluster with three nodes. Two of them run Swarm managers, and one is a worker. Managers accept our requests, decide what should be done, and send tasks to Swarm workers. In turn, workers translate those tasks into commands that are sent to the local Docker Engine. Managers act as workers as well.

If we describe the flow we did earlier with the go-demo service, and imagine there is no service discovery associated with Swarm, it would be as follows. A user sends a request to one of the managers. The request is not a declarative instruction but an expression of the desired state. For example, I want to have two instances of the go-demo service and one instance of the DB running inside the cluster:

Figure 4-1: User sends a request to one of the managers

Once Swarm manager receives our request for the desired state, it compares it with the current state of the cluster, generates tasks, and sends them to Swarm workers. The tasks might...

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