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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

Alerting on unschedulable or failed pods

Knowing whether our applications are having trouble to respond fast to requests, whether they are being bombed with more requests than they could handle, whether they produce too many errors, and whether they are saturated, is of no use if they are not even running. Even if our alerts detect that something is wrong by notifying us that there are too many errors or that response times are slow due to an insufficient number of replicas, we should still be informed if, for example, one, or even all replicas failed to run. In the best case scenario, such a notification would provide additional info about the cause of an issue. In the much worse situation, we might find out that one of the replicas of the DB is not running. That would not necessarily slow it down nor it would produce any errors but would put us in a situation where data could...

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