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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

Which tools should we use for dashboards?

It doesn't take more than a few minutes with Prometheus to discover that it is not designed to serve as a dashboard. Sure, you can create graphs in Prometheus but they are not permanent, nor do they offer much in terms of presenting data. Prometheus' graphs are designed to be used as a way to visualize ad-hoc queries. And that's what we need most of the time. When we receive a notification from an alert that there is a problem, we usually start our search for the culprit by executing the query of the alert and, from there on, we go deeper into data depending on the results. That is, if the alert does not reveal the problem immediately, in which case there is no need to receive notifications since those types of apparent issues can usually be fixed automatically.

But, as I already mentioned, Prometheus' does not have...

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