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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

Scheduler role in the system

Unlike self-adaptation, self-healing is relatively easy to accomplish. As long as there are available resources, a scheduler will make sure that the specified number of replicas is always running. In our case, that scheduler is Docker Swarm (https://docs.docker.com/engine/swarm/).

Replicas can fail, they can be killed, and they can reside inside an unhealthy node. It does not really matter since Swarm will make sure that they are rescheduled when needed and (almost) always up-and-running. If all our services are scalable and we are running at least a few replicas of each, there will never be downtime. Self-healing processes inside Docker will make sure of that while our own self-adaptation processes aim to provide high-availability. The combination of the two is what makes the system almost fully autonomous and self-sufficient.

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