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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

Querying metrics from instrumented services

Let's open the Prometheus graph screen and explore different ways to query metrics scraped from the go-demo_main service.

open "http://$(docker-machine ip swarm-1)/monitor/graph" 

Please click the Graph tab, enter the query that follows, and click the Execute button

http_server_resp_time_sum / http_server_resp_time_count

We divided the summary of response times with the count of the requests. You'll notice that the output graph shows that the average value is close to zero. Feel free to hover over one of the lines and observe that the values are only a few milliseconds. The go-demo_main service pings itself periodically and the responses are very fast.

We should generate some slower responses since the current result does not show metrics in their true glory.

The /demo/hello endpoint of the service can be supplemented...

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