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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 counter

There are many usages of the counter metric. We can measure the number of requests entering the system, the number of bytes sent through the network, the number of errors, and so on. Whenever we want to record an incremental value, a counter is a good choice.

We'll use counter to track errors produced by a service. With such a goal, a counter is usually put around code that handles errors.

The examples that follow are taken from Docker Flow Swarm Listener (http://swarmlistener.dockerflow.com/). The code is written in Go. Do not be afraid if that is not your language of choice. As you will see, examples are straightforward and can be easily extrapolated to any programming language.

Prometheus provides client libraries (https://prometheus.io/docs/instrumenting/clientlibs/) for a myriad of languages. Even if your favorite language is not...

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