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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
Concepts
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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

Non-dimensional versus dimensional metrics

Before we explore the tools we'll choose from, we should discuss different approaches to storing and collecting metrics.

We can divide the tools by dimensions. Some can store data with dimensions while others cannot. Representatives of those that are dimensionless would be Graphite and Nagios. Truth be told, there is a semblance of dimensions in Graphite, but they are so limited in their nature that we'll treat it as dimensionless. Some of the solutions that do support dimensions are, for example, InfluxDB and Prometheus. The former supports them in the form of key/value pairs while the latter uses labels.

Non-dimensional (or dimensionless) metric storage belongs to the old world when servers were relatively static, and the number of targets that were monitored was relatively small. That can be seen from the time those tools...

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