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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

Upgrading old Pods

Our primary goal should be to prevent issues from happening by being proactive. In cases when we cannot predict that a problem is about to materialize, we must, at least, be quick with our reactive actions that mitigate the issues after they occur. Still, there is a third category that can only loosely be characterized as being proactive. We should keep our system clean and up-to-date.

Among many things we could do to keep the system up-to-date, is to make sure that our software is relatively recent (patched, updated, and so on). A reasonable rule could be to try to renew software after ninety days, if not earlier. That does not mean that everything we run in our cluster should be newer than ninety days, but that it might be a good starting point. Further on, we might create finer policies that would allow some kinds of applications (usually third-party) to...

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