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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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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

Instrumenting Services

In the previous chapters, we used data from cAdvisor to scale services automatically. Specifically, Prometheus was firing alerts if memory limits were reached. When memory utilization was over the limit, we were scaling the service associated with the data. While that approach is a good start, it is far from enough for the type of the system we're building. As a minimum, we need to measure response times of our services. Should we look for an exporter that would provide that information?

The chances are that your first thought would be to use haproxy_exporter (https://github.com/prometheus/haproxy_exporter). If all public requests are going through it, it makes sense to scrape response times and set some alerts based on collected data. That model would be in line with the most of the other monitoring systems. The only problem with that approach is that...

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