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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

The rules governing nodes scale-up

Cluster Autoscaler monitors Pods through a watch on Kube API. It checks every 10 seconds whether there are any unschedulable Pods (configurable through the --scan-interval flag). In that context, a Pod is unschedulable when the Kubernetes Scheduler is unable to find a node that can accommodate it. For example, a Pod can request more memory than what is available on any of the worker nodes.

Cluster Autoscaler assumes that the cluster is running on top of some kind of node groups. As an example, in the case of AWS, those groups are Autoscaling Groups (ASGs). When there is a need for additional nodes, Cluster Autoscaler creating a new node by increasing the size of a node group.

Cluster Autoscaler assumes that requested nodes will appear within 15 minutes (configurable through the --max-node-provision-time flag). If that period expires and a new...

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