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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

You know the drill. We'll move into the directory with the vfarcic/k8s-specs (https://github.com/vfarcic/k8s-specs) repository, we'll pull the latest version of the code just in case I pushed something recently, and we'll create a new cluster unless you already have one at hand.

All the commands from this chapter are available in the 07-logging.sh (https://gist.github.com/vfarcic/74774240545e638b6cf0e01460894f34) Gist.
 1  cd k8s-specs
 2
3 git pull

This time, the requirements for the cluster changed. We need much more memory than before. The main culprit is ElasticSearch which is very resource hungry.

If you're using Docker for Desktop or minikube, you'll need to increase the memory dedicated to the cluster to 10 GB. If that's too much for your laptop, you might choose to read the Exploring Centralized Logging Through Elasticsearch...

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