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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

What Did We Do?

We explored quite a few topics that are beyond "normal" Kubernetes usage. We learned how to scale Pods using HorizontalPodAutoscaler. We saw that scaling Pods does not provide enough benefits if we cannot scale cluster nodes as well. We explored how to do just that using Cluster Autoscaler. Unfortunately, it is currently available only for AWS, GKE, and AKS.

While scaling Pods and nodes is essential, we had to gather metrics as well. They give us insights into the behavior of our clusters and applications running inside it. For that, we adopted Prometheus. More importantly, we saw how we can leverage Alertmanager to create notifications that will alert us when there is an issue, instead of staring at a screen waiting for a graph to reach a "red line".

We learned that gathering metrics from exporters might not be enough, so we instrumented our...

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