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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
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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

Exploring fault tolerance

Since we are exploring self-healing (not self-adaptation), there's no need to deploy all the stacks we used thus far. A single service will be enough to explore what happens when a node goes down. Our cluster, formed out of t2.micro instances, would not support much more anyways.

docker service create --name test \  
    --replicas 10 alpine sleep 1000000 

We created a service with ten replicas. Let's confirm that they are spread across the three nodes of the cluster:

docker service ps test

The output is as follows (IDs are removed for brevity):

Let's exit the cluster before we move onto a discussion how to simulate a failure of a node.

exit

We'll simulate failure of an instance by terminating it. We'll do that by executing aws ec2 terminate-instances command that requires --instance-ids argument. So, the first line of business...

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