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The DevOps 2.2 Toolkit

You're reading from   The DevOps 2.2 Toolkit Self-Sufficient Docker Clusters

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788991278
Length 360 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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Toc

Table of Contents (18) Chapters Close

Preface 1. Introduction to Self-Adapting and Self-Healing Systems FREE CHAPTER 2. Choosing a Solution for Metrics Storage and Query 3. Deploying and Configuring Prometheus 4. Scraping Metrics 5. Defining Cluster-Wide Alerts 6. Alerting Humans 7. Alerting the System 8. Self-Healing Applied to Services 9. Self-Adaptation Applied to Services 10. Painting the Big Picture – The Self-Sufficient System Thus Far 11. Instrumenting Services 12. Self-Adaptation Applied to Instrumented Services 13. Setting Up a Production Cluster 14. Self-Healing Applied to Infrastructure 15. Self-Adaptation Applied to Infrastructure 16. Blueprint of a Self-Sufficient System 17. Other Books You May Enjoy

Using Docker Swarm for self-healing services

Docker Swarm already provides almost everything we need from a system that self-heals services.

What follows is a short demonstration of some of the scenarios the system might encounter when facing failed service replicas. I already warned you that at least basic knowledge of operating Swarm is the pre-requirement for this book so I chose to skip a lengthy discussion about the features behind the scheduler. I won't go into details but only prove that Swarm guarantees that the services will (almost) always be healthy.

Let's see what happens when one of the three replicas of the go-demo_main service fails. We'll simulate it by stopping the primary process inside one of the replicas.

The first thing we need to do is find out the node where one of the replicas are running.

NODE=$(docker service ps \
-f desired-state=Running...
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