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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

Exploring Prometheus Adapter

Given that we want to extend the metrics available through the Metrics API, and that Kubernetes allows us that through it's Custom Metrics API (https://github.com/kubernetes/metrics/tree/master/pkg/apis/custom_metrics), one option to accomplish our goals could be to create our own adapter.

Depending on the application (DB) where we store metrics, that might be a good option. But, given that it is pointless to reinvent the wheel, our first step should be to search for a solution. If someone already created an adapter that suits our needs, it would make sense to adopt it, instead of creating a new one by ourselves. Even if we do choose something that provides only part of the features we're looking for, it's easier to build on top of it (and contribute back to the project), than to start from scratch.

Given that our metrics are stored...

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