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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

Creating a cluster

We'll continue using definitions from the vfarcic/k8s-specs (https://github.com/vfarcic/k8s-specs) repository. To be on the safe side, we'll pull the latest version first.

All the commands from this chapter are available in the 02-ca.sh (https://gist.github.com/vfarcic/a6b2a5132aad6ca05b8ff5033c61a88f) Gist.
 1  cd k8s-specs
 2
 3  git pull

Next, we need a cluster. Please use the Gists below as inspiration to create a new cluster or to validate that the one you already fulfills all the requirements.

A note to AKS users
At the time of this writing (October 2018), Cluster Autoscaler does not (always) work in Azure Kubernetes Service (AKS). Please jump to Setting up Cluster Autoscaler in AKS section for more info and the link to instructions how to set it up.
  • gke-scale.sh: GKE with 3 n1-standard-1 worker nodes, with tiller, and with the --enable-autoscaling...
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