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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

Collecting and Querying Logs

In critical moments, men sometimes see exactly what they wish to see.

- Spock

So far, our primary focus was on metrics. We used them in different forms and for different purposes. In some cases, we used metrics to scale Pods and nodes. In others, metrics were used to create alerts that would notify us when there is an issue that cannot be fixed automatically. We also created a few dashboards.

However, metrics are often not enough. That is especially true when dealing with issues that require manual interventions. When metrics alone are insufficient, we usually need to consult logs hoping that they will reveal the cause of the problem.

Logging is often misunderstood or, to be more precise, mixed with metrics. For many, the line between logs and metrics is blurred. Some are extracting metrics from logs. Others are treating metrics and logs as the same...

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