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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

Debugging Issues Discovered Through Metrics and Alerts

When you eliminate the impossible, whatever remains, however improbable, must be the truth.

- Spock

So far, we explored how to gather metrics and how to create alerts that will notify us when there is an issue. We also learned how to query metrics and dig for information we might need when trying to find the cause of a problem. We'll expand on that and try to debug a simulated issue.

Saying that an application does not work correctly should not be enough by itself. We should be much more precise. Our goal is to be able to pinpoint not only which application is malfunctioning, but also which part of it is the culprit. We should be able to blame a specific function, a method, a request path, and so on. The more precise we are in detecting which part of an application is causing a problem, the faster we will find the cause...

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