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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

Metrics role in the system

The crucial part of any cluster, especially those that are aiming towards self-adaptation, is data. Hardly anyone will dispute the need to have the past and present metrics. Without them, we'd run like a headless chicken when things go wrong. The central question is not whether they are required but what we do with them. Traditionally, operators would spend endless hours watching dashboards. That is far from efficient. Watch Netflix instead. It is, at least, more entertaining. The system should use metrics. The system generates them, it collects them, and it should decide what actions to perform when they reach some thresholds. Only then, the system can be self-adaptive. Only when it acts without human intervention can it be self-sufficient.

A system that implements self-adaptation needs to collect data, store them, and act upon them. I will skip...

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