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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 error-related issues

We should always be aware of whether our applications or the system is producing errors. However, we cannot start panicking on the first occurrence of an error since that would generate too many notifications that we'd likely end up ignoring.

Errors happen often, and many are caused by issues that are fixed automatically or are due to circumstances that are out of our control. If we are to perform an action on every error, we'd need an army of people working 24/7 only on fixing issues that often do not need to be fixed. As an example, entering into a "panic" mode because there is a single response with code in 500 range would almost certainly produce a permanent crisis. Instead, we should monitor the rate of errors compared to the total number of requests and react only if it passes a certain threshold. After all, if an error...

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