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The DevOps 2.5 Toolkit

You're reading from   The DevOps 2.5 Toolkit Monitoring, Logging, and Auto-Scaling Kubernetes: Making Resilient, Self-Adaptive, And Autonomous Kubernetes Clusters

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838647513
Length 322 pages
Edition 1st Edition
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 (9) Chapters Close

1. Autoscaling Deployments and StatefulSets Based on Resource Usage FREE CHAPTER 2. Auto-scaling Nodes of a Kubernetes Cluster 3. Collecting and Querying Metrics and Sending Alerts 4. Debugging Issues Discovered Through Metrics and Alerts 5. Extending HorizontalPodAutoscaler with Custom Metrics 6. Visualizing Metrics and Alerts 7. Collecting and Querying Logs 8. What Did We Do? 9. Other Books You May Enjoy

What now?

I don't believe that we need many other examples of instrumented metrics. They are not any different than those we are collecting through exporters. I'll leave it up to you to start instrumenting your applications. Start small, see what works well, improve and extend.

Yet another chapter is finished. Destroy your cluster and start the next one fresh, or keep it. If you choose the latter, please execute the commands that follow to remove the go-demo-5 application.

 1  helm delete go-demo-5 --purge
 2
 3  kubectl delete ns go-demo-5

Before you leave, remember the point that follows. It summarizes instrumentation.

  • Instrumented metrics are baked into applications. They are an integral part of the code of our apps, and they are usually exposed through the /metrics endpoint.
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