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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

Instrumenting services using gauges

Gauges are very similar to counters. The only significant difference is that we can not only increment, but also decrease their values. We'll continue exploring vfarcic/docker-flow-swarm-listener GitHub repository for an example of a gauge.

Since gauge is almost identical to counter, we won't go into many details but only briefly explore a few snippets.

Just as with a counter, we need to declare a variable that defines the type of the metric. A simple example is as follows:

var serviceGauge = prometheus.NewGaugeVec(
prometheus.GaugeOpts{
Subsystem: "docker_flow",
Name: "service_count",
Help: "Service gauge",
},
[]string{"service"},
)

Next, we need to register it with Prometheus. We'll reuse the code from the init function where we defined the errorCounter and...

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