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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

Creating HorizontalPodAutoscaler with custom metrics

As you already saw, Prometheus Adapter comes with a set of default rules that provide many metrics that we do not need, and not all those that we do. It's wasting CPU and memory by doing too much, but not enough. We'll explore how we can customize the adapter with our own rules. Our next goal is to make the adapter retrieve only the nginx_ingress_controller_requests metric since that's the only one we need. On top of that, it should provide that metric in two forms. First, it should retrieve the rate, grouped by the resource.

The second form should be the same as the first but divided with the number of replicas of the Deployment that hosts the Pods where Ingress forwards the resources.

That one should give us an average number of requests per replica and will be a good candidate for our first HPA definition...

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