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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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Toc

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?

There's not much left to say about Cluster Autoscaler.

We finished exploring fundamental ways to auto-scale Pods and nodes. Soon we'll dive into more complicated subjects and explore things that are not "baked" into a Kubernetes cluster. We'll go beyond the core project and introduce a few new tools and processes.

This is the moment when you should destroy your cluster if you're not planning to move into the next chapter right away and if your cluster is disposable (for example, not on bare-metal). Otherwise, please delete the go-demo-5 Namespace to remove the resources we created in this chapter.

 1  kubectl delete ns go-demo-5

Before you leave, you might want to go over the main points of this chapter.

  • Cluster Autoscaler has a single purpose to adjust the size of the cluster by adding or removing worker nodes. It adds new nodes when...
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