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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

Choosing the persistence method for stateful services

There are quite a few other tools we could use to persist state. Most of them fall into one of the groups we explored. Among different approaches we can take, the three most commonly taken are as follows:

  1. Do not persist the state.
  2. Persist the state on the host.
  3. Persist the state somewhere outside the cluster.

There’s no reason to debate why persisting data from stateful services is critical, so the first option is automatically discarded.

Since we are operating a cluster, we cannot rely on any given host to be always available. It might fail at any given moment. Even if a node does not fail, sooner or later a service will, and Swarm will reschedule it. When that happens, there is no guarantee that Swarm will run a new replica on the same host. Even if, against all odds, the node never fails, and the service is unbreakable, the first time we execute an...

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